Tensor Network Contractions : Methods and Applications to Quantum Many-Body Systems
Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such as condensed matter physics, statistic physics, high energy physics, and quantum information sciences. This open access book aims to explain the tensor network contraction approaches in a systematic...
Ausführliche Beschreibung
Autor*in: |
Ran, Shi-Ju [verfasserIn] Tirrito, Emanuele [verfasserIn] Peng, Cheng [verfasserIn] Chen, Xi [verfasserIn] Tagliacozzo, Luca [verfasserIn] Su, Gang [verfasserIn] Lewenstein, Maciej [verfasserIn] |
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Format: |
E-Book |
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Sprache: |
Englisch |
Erschienen: |
Cham: Springer Nature ; 2020 |
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Rechteinformationen: |
Open Access Creative Commons ; https://creativecommons.org/licenses/by/4.0 |
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Schlagwörter: |
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Umfang: |
1 Online-Ressource (150 p.) |
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Reihe: |
Lecture Notes in Physics |
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Links: | |
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ISBN: |
978-3-030-34489-4 |
Katalog-ID: |
1778473806 |
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520 | |a Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such as condensed matter physics, statistic physics, high energy physics, and quantum information sciences. This open access book aims to explain the tensor network contraction approaches in a systematic way, from the basic definitions to the important applications. This book is also useful to those who apply tensor networks in areas beyond physics, such as machine learning and the big-data analysis. Tensor network originates from the numerical renormalization group approach proposed by K. G. Wilson in 1975. Through a rapid development in the last two decades, tensor network has become a powerful numerical tool that can efficiently simulate a wide range of scientific problems, with particular success in quantum many-body physics. Varieties of tensor network algorithms have been proposed for different problems. However, the connections among different algorithms are not well discussed or reviewed. To fill this gap, this book explains the fundamental concepts and basic ideas that connect and/or unify different strategies of the tensor network contraction algorithms. In addition, some of the recent progresses in dealing with tensor decomposition techniques and quantum simulations are also represented in this book to help the readers to better understand tensor network. This open access book is intended for graduated students, but can also be used as a professional book for researchers in the related fields. To understand most of the contents in the book, only basic knowledge of quantum mechanics and linear algebra is required. In order to fully understand some advanced parts, the reader will need to be familiar with notion of condensed matter physics and quantum information, that however are not necessary to understand the main parts of the book. This book is a good source for non-specialists on quantum physics to understand tensor network algorithms and the related mathematics | ||
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9783030344894 978-3-030-34489-4 20.500.12854/27404 hdl (DE-627)1778473806 (DE-599)KEP069379513 (OCoLC)1140148462 (DOAB)27404 (EBP)069379513 DE-627 ger DE-627 rakwb eng PHJ bicssc PHQ bicssc PHS bicssc PHU bicssc UYQM bicssc Ran, Shi-Ju verfasserin aut Tensor Network Contractions Methods and Applications to Quantum Many-Body Systems Cham Springer Nature 2020 1 Online-Ressource (150 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Lecture Notes in Physics Open Access Unrestricted online access star Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such as condensed matter physics, statistic physics, high energy physics, and quantum information sciences. This open access book aims to explain the tensor network contraction approaches in a systematic way, from the basic definitions to the important applications. This book is also useful to those who apply tensor networks in areas beyond physics, such as machine learning and the big-data analysis. Tensor network originates from the numerical renormalization group approach proposed by K. G. Wilson in 1975. Through a rapid development in the last two decades, tensor network has become a powerful numerical tool that can efficiently simulate a wide range of scientific problems, with particular success in quantum many-body physics. Varieties of tensor network algorithms have been proposed for different problems. However, the connections among different algorithms are not well discussed or reviewed. To fill this gap, this book explains the fundamental concepts and basic ideas that connect and/or unify different strategies of the tensor network contraction algorithms. In addition, some of the recent progresses in dealing with tensor decomposition techniques and quantum simulations are also represented in this book to help the readers to better understand tensor network. This open access book is intended for graduated students, but can also be used as a professional book for researchers in the related fields. To understand most of the contents in the book, only basic knowledge of quantum mechanics and linear algebra is required. In order to fully understand some advanced parts, the reader will need to be familiar with notion of condensed matter physics and quantum information, that however are not necessary to understand the main parts of the book. This book is a good source for non-specialists on quantum physics to understand tensor network algorithms and the related mathematics Creative Commons https://creativecommons.org/licenses/by/4.0 cc English Optical physics Quantum physics (quantum mechanics & quantum field theory) Statistical physics Mathematical physics Machine learning Tirrito, Emanuele verfasserin aut Peng, Cheng verfasserin aut Chen, Xi verfasserin aut Tagliacozzo, Luca verfasserin aut Su, Gang verfasserin aut Lewenstein, Maciej verfasserin aut https://directory.doabooks.org/handle/20.500.12854/27404 X:DOAB Verlag kostenfrei ZDB-94-OAB GBV_ILN_11 ISIL_DE-1a SYSFLAG_1 GBV_KXP GBV_ILN_20 ISIL_DE-84 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_24 ISIL_DE-8 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_90 ISIL_DE-Hil2 GBV_ILN_91 ISIL_DE-HIL3 GBV_ILN_92 ISIL_DE-33 GBV_ILN_95 ISIL_DE-542 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_130 ISIL_DE-700 GBV_ILN_131 ISIL_DE-Va1 GBV_ILN_132 ISIL_DE-959 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_285 ISIL_DE-517 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_635 ISIL_DE-B2138 GBV_ILN_808 GBV_ILN_2011 ISIL_DE-16 GBV_ILN_2014 ISIL_DE-90 GBV_ILN_2018 ISIL_DE-31 GBV_ILN_2034 ISIL_DE-Rt2 GBV_ILN_2037 ISIL_DE-747 GBV_ILN_2050 ISIL_DE-Zi4 GBV_ILN_2108 ISIL_DE-991 GBV_ILN_2403 ISIL_DE-LFER BO 11 01 0001 4023066583 00 5:LIZFREI --%%-- --%%-- --%%-- k 20-12-21 20 01 0084 4011999695 OLR-DOAB z 01-12-21 22 01 0018 4006090498 OLR-ZDB-94-OAB DOAB Directory of Open Access Books zu 25-11-21 23 01 0830 4006608578 olr-doab f z 25-11-21 24 01 0008 4060091502 OLR-doab z 15-02-22 30 01 0104 4102087885 OLR-OAB Open Access, Directory of Open Access Books (DOAB) z 26-03-22 31 01 0027 4052413326 OLR-DOAB z 07-02-22 39 01 0547 4105910094 OLR-ZDB-94-OAB ke 29-03-22 40 01 0007 4011563412 OLR-DOAB xsn 01-12-21 60 01 0705 427591810X OPENAccess Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. 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9783030344894 978-3-030-34489-4 20.500.12854/27404 hdl (DE-627)1778473806 (DE-599)KEP069379513 (OCoLC)1140148462 (DOAB)27404 (EBP)069379513 DE-627 ger DE-627 rakwb eng PHJ bicssc PHQ bicssc PHS bicssc PHU bicssc UYQM bicssc Ran, Shi-Ju verfasserin aut Tensor Network Contractions Methods and Applications to Quantum Many-Body Systems Cham Springer Nature 2020 1 Online-Ressource (150 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Lecture Notes in Physics Open Access Unrestricted online access star Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such as condensed matter physics, statistic physics, high energy physics, and quantum information sciences. This open access book aims to explain the tensor network contraction approaches in a systematic way, from the basic definitions to the important applications. This book is also useful to those who apply tensor networks in areas beyond physics, such as machine learning and the big-data analysis. Tensor network originates from the numerical renormalization group approach proposed by K. G. Wilson in 1975. Through a rapid development in the last two decades, tensor network has become a powerful numerical tool that can efficiently simulate a wide range of scientific problems, with particular success in quantum many-body physics. Varieties of tensor network algorithms have been proposed for different problems. However, the connections among different algorithms are not well discussed or reviewed. To fill this gap, this book explains the fundamental concepts and basic ideas that connect and/or unify different strategies of the tensor network contraction algorithms. In addition, some of the recent progresses in dealing with tensor decomposition techniques and quantum simulations are also represented in this book to help the readers to better understand tensor network. This open access book is intended for graduated students, but can also be used as a professional book for researchers in the related fields. To understand most of the contents in the book, only basic knowledge of quantum mechanics and linear algebra is required. In order to fully understand some advanced parts, the reader will need to be familiar with notion of condensed matter physics and quantum information, that however are not necessary to understand the main parts of the book. This book is a good source for non-specialists on quantum physics to understand tensor network algorithms and the related mathematics Creative Commons https://creativecommons.org/licenses/by/4.0 cc English Optical physics Quantum physics (quantum mechanics & quantum field theory) Statistical physics Mathematical physics Machine learning Tirrito, Emanuele verfasserin aut Peng, Cheng verfasserin aut Chen, Xi verfasserin aut Tagliacozzo, Luca verfasserin aut Su, Gang verfasserin aut Lewenstein, Maciej verfasserin aut https://directory.doabooks.org/handle/20.500.12854/27404 X:DOAB Verlag kostenfrei ZDB-94-OAB GBV_ILN_11 ISIL_DE-1a SYSFLAG_1 GBV_KXP GBV_ILN_20 ISIL_DE-84 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_24 ISIL_DE-8 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_90 ISIL_DE-Hil2 GBV_ILN_91 ISIL_DE-HIL3 GBV_ILN_92 ISIL_DE-33 GBV_ILN_95 ISIL_DE-542 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_130 ISIL_DE-700 GBV_ILN_131 ISIL_DE-Va1 GBV_ILN_132 ISIL_DE-959 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_285 ISIL_DE-517 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_635 ISIL_DE-B2138 GBV_ILN_808 GBV_ILN_2011 ISIL_DE-16 GBV_ILN_2014 ISIL_DE-90 GBV_ILN_2018 ISIL_DE-31 GBV_ILN_2034 ISIL_DE-Rt2 GBV_ILN_2037 ISIL_DE-747 GBV_ILN_2050 ISIL_DE-Zi4 GBV_ILN_2108 ISIL_DE-991 GBV_ILN_2403 ISIL_DE-LFER BO 11 01 0001 4023066583 00 5:LIZFREI --%%-- --%%-- --%%-- k 20-12-21 20 01 0084 4011999695 OLR-DOAB z 01-12-21 22 01 0018 4006090498 OLR-ZDB-94-OAB DOAB Directory of Open Access Books zu 25-11-21 23 01 0830 4006608578 olr-doab f z 25-11-21 24 01 0008 4060091502 OLR-doab z 15-02-22 30 01 0104 4102087885 OLR-OAB Open Access, Directory of Open Access Books (DOAB) z 26-03-22 31 01 0027 4052413326 OLR-DOAB z 07-02-22 39 01 0547 4105910094 OLR-ZDB-94-OAB ke 29-03-22 40 01 0007 4011563412 OLR-DOAB xsn 01-12-21 60 01 0705 427591810X OPENAccess Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Nur für Angehörige der HSU: Volltextzugang von außerhalb des Campus mit Anmeldung über Shibboleth mit Ihrer Bibliothekskennung z 24-02-23 63 01 3401 4106544563 E-Books LF GBV-DOAB z 29-03-22 65 01 0003 4109241316 OLR-DOAB Nach dem deutschen Urheberrecht darf das Werk bzw. der Inhalt zum eigenen Gebrauch kostenfrei heruntergeladen, konsumiert, gespeichert oder ausgedruckt, nicht jedoch im Internet bereitgestellt oder an Außenstehende weitergegeben werden! z 01-04-22 70 01 0089 4006344619 OLR-DOAB-OA DOAB Directory of Open Access Books z 25-11-21 72 01 0035 4104504971 OLR-ZDB-94-OAB DOAB Directory of Open Access Books z 28-03-22 90 01 3090 4106333147 OLR-HILoapen z 29-03-22 91 01 3091 4011316180 OLR-DOAB DOAB Directory of Open Access Books z 01-12-21 92 01 0033 4110692792 OLR-Open Access DOAB Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Das Ebook ist frei zugänglich. z 02-04-22 95 01 3095 4342189143 OLR-OAB Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-06-23 105 01 0841 4007069263 OLR-OAB Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 25-11-21 110 01 3110 4019769826 OLR-DOAB Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. 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allfields_unstemmed |
9783030344894 978-3-030-34489-4 20.500.12854/27404 hdl (DE-627)1778473806 (DE-599)KEP069379513 (OCoLC)1140148462 (DOAB)27404 (EBP)069379513 DE-627 ger DE-627 rakwb eng PHJ bicssc PHQ bicssc PHS bicssc PHU bicssc UYQM bicssc Ran, Shi-Ju verfasserin aut Tensor Network Contractions Methods and Applications to Quantum Many-Body Systems Cham Springer Nature 2020 1 Online-Ressource (150 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Lecture Notes in Physics Open Access Unrestricted online access star Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such as condensed matter physics, statistic physics, high energy physics, and quantum information sciences. This open access book aims to explain the tensor network contraction approaches in a systematic way, from the basic definitions to the important applications. This book is also useful to those who apply tensor networks in areas beyond physics, such as machine learning and the big-data analysis. Tensor network originates from the numerical renormalization group approach proposed by K. G. Wilson in 1975. Through a rapid development in the last two decades, tensor network has become a powerful numerical tool that can efficiently simulate a wide range of scientific problems, with particular success in quantum many-body physics. Varieties of tensor network algorithms have been proposed for different problems. However, the connections among different algorithms are not well discussed or reviewed. To fill this gap, this book explains the fundamental concepts and basic ideas that connect and/or unify different strategies of the tensor network contraction algorithms. In addition, some of the recent progresses in dealing with tensor decomposition techniques and quantum simulations are also represented in this book to help the readers to better understand tensor network. This open access book is intended for graduated students, but can also be used as a professional book for researchers in the related fields. To understand most of the contents in the book, only basic knowledge of quantum mechanics and linear algebra is required. In order to fully understand some advanced parts, the reader will need to be familiar with notion of condensed matter physics and quantum information, that however are not necessary to understand the main parts of the book. This book is a good source for non-specialists on quantum physics to understand tensor network algorithms and the related mathematics Creative Commons https://creativecommons.org/licenses/by/4.0 cc English Optical physics Quantum physics (quantum mechanics & quantum field theory) Statistical physics Mathematical physics Machine learning Tirrito, Emanuele verfasserin aut Peng, Cheng verfasserin aut Chen, Xi verfasserin aut Tagliacozzo, Luca verfasserin aut Su, Gang verfasserin aut Lewenstein, Maciej verfasserin aut https://directory.doabooks.org/handle/20.500.12854/27404 X:DOAB Verlag kostenfrei ZDB-94-OAB GBV_ILN_11 ISIL_DE-1a SYSFLAG_1 GBV_KXP GBV_ILN_20 ISIL_DE-84 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_24 ISIL_DE-8 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_90 ISIL_DE-Hil2 GBV_ILN_91 ISIL_DE-HIL3 GBV_ILN_92 ISIL_DE-33 GBV_ILN_95 ISIL_DE-542 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_130 ISIL_DE-700 GBV_ILN_131 ISIL_DE-Va1 GBV_ILN_132 ISIL_DE-959 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_285 ISIL_DE-517 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_635 ISIL_DE-B2138 GBV_ILN_808 GBV_ILN_2011 ISIL_DE-16 GBV_ILN_2014 ISIL_DE-90 GBV_ILN_2018 ISIL_DE-31 GBV_ILN_2034 ISIL_DE-Rt2 GBV_ILN_2037 ISIL_DE-747 GBV_ILN_2050 ISIL_DE-Zi4 GBV_ILN_2108 ISIL_DE-991 GBV_ILN_2403 ISIL_DE-LFER BO 11 01 0001 4023066583 00 5:LIZFREI --%%-- --%%-- --%%-- k 20-12-21 20 01 0084 4011999695 OLR-DOAB z 01-12-21 22 01 0018 4006090498 OLR-ZDB-94-OAB DOAB Directory of Open Access Books zu 25-11-21 23 01 0830 4006608578 olr-doab f z 25-11-21 24 01 0008 4060091502 OLR-doab z 15-02-22 30 01 0104 4102087885 OLR-OAB Open Access, Directory of Open Access Books (DOAB) z 26-03-22 31 01 0027 4052413326 OLR-DOAB z 07-02-22 39 01 0547 4105910094 OLR-ZDB-94-OAB ke 29-03-22 40 01 0007 4011563412 OLR-DOAB xsn 01-12-21 60 01 0705 427591810X OPENAccess Vervielfältigungen (z.B. 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allfieldsGer |
9783030344894 978-3-030-34489-4 20.500.12854/27404 hdl (DE-627)1778473806 (DE-599)KEP069379513 (OCoLC)1140148462 (DOAB)27404 (EBP)069379513 DE-627 ger DE-627 rakwb eng PHJ bicssc PHQ bicssc PHS bicssc PHU bicssc UYQM bicssc Ran, Shi-Ju verfasserin aut Tensor Network Contractions Methods and Applications to Quantum Many-Body Systems Cham Springer Nature 2020 1 Online-Ressource (150 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Lecture Notes in Physics Open Access Unrestricted online access star Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such as condensed matter physics, statistic physics, high energy physics, and quantum information sciences. This open access book aims to explain the tensor network contraction approaches in a systematic way, from the basic definitions to the important applications. This book is also useful to those who apply tensor networks in areas beyond physics, such as machine learning and the big-data analysis. Tensor network originates from the numerical renormalization group approach proposed by K. G. Wilson in 1975. Through a rapid development in the last two decades, tensor network has become a powerful numerical tool that can efficiently simulate a wide range of scientific problems, with particular success in quantum many-body physics. Varieties of tensor network algorithms have been proposed for different problems. However, the connections among different algorithms are not well discussed or reviewed. To fill this gap, this book explains the fundamental concepts and basic ideas that connect and/or unify different strategies of the tensor network contraction algorithms. In addition, some of the recent progresses in dealing with tensor decomposition techniques and quantum simulations are also represented in this book to help the readers to better understand tensor network. This open access book is intended for graduated students, but can also be used as a professional book for researchers in the related fields. To understand most of the contents in the book, only basic knowledge of quantum mechanics and linear algebra is required. In order to fully understand some advanced parts, the reader will need to be familiar with notion of condensed matter physics and quantum information, that however are not necessary to understand the main parts of the book. This book is a good source for non-specialists on quantum physics to understand tensor network algorithms and the related mathematics Creative Commons https://creativecommons.org/licenses/by/4.0 cc English Optical physics Quantum physics (quantum mechanics & quantum field theory) Statistical physics Mathematical physics Machine learning Tirrito, Emanuele verfasserin aut Peng, Cheng verfasserin aut Chen, Xi verfasserin aut Tagliacozzo, Luca verfasserin aut Su, Gang verfasserin aut Lewenstein, Maciej verfasserin aut https://directory.doabooks.org/handle/20.500.12854/27404 X:DOAB Verlag kostenfrei ZDB-94-OAB GBV_ILN_11 ISIL_DE-1a SYSFLAG_1 GBV_KXP GBV_ILN_20 ISIL_DE-84 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_24 ISIL_DE-8 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_90 ISIL_DE-Hil2 GBV_ILN_91 ISIL_DE-HIL3 GBV_ILN_92 ISIL_DE-33 GBV_ILN_95 ISIL_DE-542 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_130 ISIL_DE-700 GBV_ILN_131 ISIL_DE-Va1 GBV_ILN_132 ISIL_DE-959 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_285 ISIL_DE-517 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_635 ISIL_DE-B2138 GBV_ILN_808 GBV_ILN_2011 ISIL_DE-16 GBV_ILN_2014 ISIL_DE-90 GBV_ILN_2018 ISIL_DE-31 GBV_ILN_2034 ISIL_DE-Rt2 GBV_ILN_2037 ISIL_DE-747 GBV_ILN_2050 ISIL_DE-Zi4 GBV_ILN_2108 ISIL_DE-991 GBV_ILN_2403 ISIL_DE-LFER BO 11 01 0001 4023066583 00 5:LIZFREI --%%-- --%%-- --%%-- k 20-12-21 20 01 0084 4011999695 OLR-DOAB z 01-12-21 22 01 0018 4006090498 OLR-ZDB-94-OAB DOAB Directory of Open Access Books zu 25-11-21 23 01 0830 4006608578 olr-doab f z 25-11-21 24 01 0008 4060091502 OLR-doab z 15-02-22 30 01 0104 4102087885 OLR-OAB Open Access, Directory of Open Access Books (DOAB) z 26-03-22 31 01 0027 4052413326 OLR-DOAB z 07-02-22 39 01 0547 4105910094 OLR-ZDB-94-OAB ke 29-03-22 40 01 0007 4011563412 OLR-DOAB xsn 01-12-21 60 01 0705 427591810X OPENAccess Vervielfältigungen (z.B. 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allfieldsSound |
9783030344894 978-3-030-34489-4 20.500.12854/27404 hdl (DE-627)1778473806 (DE-599)KEP069379513 (OCoLC)1140148462 (DOAB)27404 (EBP)069379513 DE-627 ger DE-627 rakwb eng PHJ bicssc PHQ bicssc PHS bicssc PHU bicssc UYQM bicssc Ran, Shi-Ju verfasserin aut Tensor Network Contractions Methods and Applications to Quantum Many-Body Systems Cham Springer Nature 2020 1 Online-Ressource (150 p.) Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Lecture Notes in Physics Open Access Unrestricted online access star Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such as condensed matter physics, statistic physics, high energy physics, and quantum information sciences. This open access book aims to explain the tensor network contraction approaches in a systematic way, from the basic definitions to the important applications. This book is also useful to those who apply tensor networks in areas beyond physics, such as machine learning and the big-data analysis. Tensor network originates from the numerical renormalization group approach proposed by K. G. Wilson in 1975. Through a rapid development in the last two decades, tensor network has become a powerful numerical tool that can efficiently simulate a wide range of scientific problems, with particular success in quantum many-body physics. Varieties of tensor network algorithms have been proposed for different problems. However, the connections among different algorithms are not well discussed or reviewed. To fill this gap, this book explains the fundamental concepts and basic ideas that connect and/or unify different strategies of the tensor network contraction algorithms. In addition, some of the recent progresses in dealing with tensor decomposition techniques and quantum simulations are also represented in this book to help the readers to better understand tensor network. This open access book is intended for graduated students, but can also be used as a professional book for researchers in the related fields. To understand most of the contents in the book, only basic knowledge of quantum mechanics and linear algebra is required. In order to fully understand some advanced parts, the reader will need to be familiar with notion of condensed matter physics and quantum information, that however are not necessary to understand the main parts of the book. This book is a good source for non-specialists on quantum physics to understand tensor network algorithms and the related mathematics Creative Commons https://creativecommons.org/licenses/by/4.0 cc English Optical physics Quantum physics (quantum mechanics & quantum field theory) Statistical physics Mathematical physics Machine learning Tirrito, Emanuele verfasserin aut Peng, Cheng verfasserin aut Chen, Xi verfasserin aut Tagliacozzo, Luca verfasserin aut Su, Gang verfasserin aut Lewenstein, Maciej verfasserin aut https://directory.doabooks.org/handle/20.500.12854/27404 X:DOAB Verlag kostenfrei ZDB-94-OAB GBV_ILN_11 ISIL_DE-1a SYSFLAG_1 GBV_KXP GBV_ILN_20 ISIL_DE-84 GBV_ILN_22 ISIL_DE-18 GBV_ILN_23 ISIL_DE-830 GBV_ILN_24 ISIL_DE-8 GBV_ILN_30 ISIL_DE-104 GBV_ILN_31 ISIL_DE-27 GBV_ILN_39 ISIL_DE-547 GBV_ILN_40 ISIL_DE-7 GBV_ILN_60 ISIL_DE-705 GBV_ILN_63 ISIL_DE-Wim2 GBV_ILN_65 ISIL_DE-3 GBV_ILN_70 ISIL_DE-89 GBV_ILN_72 ISIL_DE-35 GBV_ILN_90 ISIL_DE-Hil2 GBV_ILN_91 ISIL_DE-HIL3 GBV_ILN_92 ISIL_DE-33 GBV_ILN_95 ISIL_DE-542 GBV_ILN_105 ISIL_DE-841 GBV_ILN_110 ISIL_DE-Luen4 GBV_ILN_120 ISIL_DE-715 GBV_ILN_130 ISIL_DE-700 GBV_ILN_131 ISIL_DE-Va1 GBV_ILN_132 ISIL_DE-959 GBV_ILN_136 ISIL_DE-Wis1 GBV_ILN_147 ISIL_DE-Fl3 GBV_ILN_161 ISIL_DE-960 GBV_ILN_213 ISIL_DE-551 GBV_ILN_230 ISIL_DE-552 GBV_ILN_283 ISIL_DE-Ha163 GBV_ILN_285 ISIL_DE-517 GBV_ILN_293 ISIL_DE-960-3 GBV_ILN_370 ISIL_DE-1373 GBV_ILN_635 ISIL_DE-B2138 GBV_ILN_808 GBV_ILN_2011 ISIL_DE-16 GBV_ILN_2014 ISIL_DE-90 GBV_ILN_2018 ISIL_DE-31 GBV_ILN_2034 ISIL_DE-Rt2 GBV_ILN_2037 ISIL_DE-747 GBV_ILN_2050 ISIL_DE-Zi4 GBV_ILN_2108 ISIL_DE-991 GBV_ILN_2403 ISIL_DE-LFER BO 11 01 0001 4023066583 00 5:LIZFREI --%%-- --%%-- --%%-- k 20-12-21 20 01 0084 4011999695 OLR-DOAB z 01-12-21 22 01 0018 4006090498 OLR-ZDB-94-OAB DOAB Directory of Open Access Books zu 25-11-21 23 01 0830 4006608578 olr-doab f z 25-11-21 24 01 0008 4060091502 OLR-doab z 15-02-22 30 01 0104 4102087885 OLR-OAB Open Access, Directory of Open Access Books (DOAB) z 26-03-22 31 01 0027 4052413326 OLR-DOAB z 07-02-22 39 01 0547 4105910094 OLR-ZDB-94-OAB ke 29-03-22 40 01 0007 4011563412 OLR-DOAB xsn 01-12-21 60 01 0705 427591810X OPENAccess Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots. Nur für Angehörige der HSU: Volltextzugang von außerhalb des Campus mit Anmeldung über Shibboleth mit Ihrer Bibliothekskennung z 24-02-23 63 01 3401 4106544563 E-Books LF GBV-DOAB z 29-03-22 65 01 0003 4109241316 OLR-DOAB Nach dem deutschen Urheberrecht darf das Werk bzw. der Inhalt zum eigenen Gebrauch kostenfrei heruntergeladen, konsumiert, gespeichert oder ausgedruckt, nicht jedoch im Internet bereitgestellt oder an Außenstehende weitergegeben werden! z 01-04-22 70 01 0089 4006344619 OLR-DOAB-OA DOAB Directory of Open Access Books z 25-11-21 72 01 0035 4104504971 OLR-ZDB-94-OAB DOAB Directory of Open Access Books z 28-03-22 90 01 3090 4106333147 OLR-HILoapen z 29-03-22 91 01 3091 4011316180 OLR-DOAB DOAB Directory of Open Access Books z 01-12-21 92 01 0033 4110692792 OLR-Open Access DOAB Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Das Ebook ist frei zugänglich. z 02-04-22 95 01 3095 4342189143 OLR-OAB Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 23-06-23 105 01 0841 4007069263 OLR-OAB Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. z 25-11-21 110 01 3110 4019769826 OLR-DOAB Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. 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tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-16</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2018</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-Rt2</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-747</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-Zi4</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2108</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-991</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2403</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-LFER</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">11</subfield><subfield code="1">01</subfield><subfield code="x">0001</subfield><subfield code="b">4023066583</subfield><subfield code="c">00</subfield><subfield code="f">5:LIZFREI</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="y">k</subfield><subfield code="z">20-12-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">20</subfield><subfield code="1">01</subfield><subfield code="x">0084</subfield><subfield code="b">4011999695</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="y">z</subfield><subfield code="z">01-12-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">22</subfield><subfield code="1">01</subfield><subfield code="x">0018</subfield><subfield code="b">4006090498</subfield><subfield code="h">OLR-ZDB-94-OAB</subfield><subfield code="k">DOAB Directory of Open Access Books</subfield><subfield code="y">zu</subfield><subfield code="z">25-11-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">23</subfield><subfield code="1">01</subfield><subfield code="x">0830</subfield><subfield code="b">4006608578</subfield><subfield code="h">olr-doab</subfield><subfield code="u">f</subfield><subfield code="y">z</subfield><subfield code="z">25-11-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">24</subfield><subfield code="1">01</subfield><subfield code="x">0008</subfield><subfield code="b">4060091502</subfield><subfield code="h">OLR-doab</subfield><subfield code="y">z</subfield><subfield code="z">15-02-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">30</subfield><subfield code="1">01</subfield><subfield code="x">0104</subfield><subfield code="b">4102087885</subfield><subfield code="h">OLR-OAB</subfield><subfield code="k">Open Access, Directory of Open Access Books (DOAB)</subfield><subfield code="y">z</subfield><subfield code="z">26-03-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">31</subfield><subfield code="1">01</subfield><subfield code="x">0027</subfield><subfield code="b">4052413326</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="y">z</subfield><subfield code="z">07-02-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">39</subfield><subfield code="1">01</subfield><subfield code="x">0547</subfield><subfield code="b">4105910094</subfield><subfield code="h">OLR-ZDB-94-OAB</subfield><subfield code="y">ke</subfield><subfield code="z">29-03-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">40</subfield><subfield code="1">01</subfield><subfield code="x">0007</subfield><subfield code="b">4011563412</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="y">xsn</subfield><subfield code="z">01-12-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">60</subfield><subfield code="1">01</subfield><subfield code="x">0705</subfield><subfield code="b">427591810X</subfield><subfield code="h">OPENAccess</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots.</subfield><subfield code="k">Nur für Angehörige der HSU: Volltextzugang von außerhalb des Campus mit Anmeldung über Shibboleth mit Ihrer Bibliothekskennung</subfield><subfield code="y">z</subfield><subfield code="z">24-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">63</subfield><subfield code="1">01</subfield><subfield code="x">3401</subfield><subfield code="b">4106544563</subfield><subfield code="h">E-Books LF GBV-DOAB</subfield><subfield code="y">z</subfield><subfield code="z">29-03-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">65</subfield><subfield code="1">01</subfield><subfield code="x">0003</subfield><subfield code="b">4109241316</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="k">Nach dem deutschen Urheberrecht darf das Werk bzw. der Inhalt zum eigenen Gebrauch kostenfrei heruntergeladen, konsumiert, gespeichert oder ausgedruckt, nicht jedoch im Internet bereitgestellt oder an Außenstehende weitergegeben werden!</subfield><subfield code="y">z</subfield><subfield code="z">01-04-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">70</subfield><subfield code="1">01</subfield><subfield code="x">0089</subfield><subfield code="b">4006344619</subfield><subfield code="h">OLR-DOAB-OA</subfield><subfield code="k">DOAB Directory of Open Access Books</subfield><subfield code="y">z</subfield><subfield code="z">25-11-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">72</subfield><subfield code="1">01</subfield><subfield code="x">0035</subfield><subfield code="b">4104504971</subfield><subfield code="h">OLR-ZDB-94-OAB</subfield><subfield code="k">DOAB Directory of Open Access Books</subfield><subfield code="y">z</subfield><subfield code="z">28-03-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">90</subfield><subfield code="1">01</subfield><subfield code="x">3090</subfield><subfield code="b">4106333147</subfield><subfield code="h">OLR-HILoapen</subfield><subfield code="y">z</subfield><subfield code="z">29-03-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">91</subfield><subfield code="1">01</subfield><subfield code="x">3091</subfield><subfield code="b">4011316180</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="k">DOAB Directory of Open Access Books</subfield><subfield code="y">z</subfield><subfield code="z">01-12-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">92</subfield><subfield code="1">01</subfield><subfield code="x">0033</subfield><subfield code="b">4110692792</subfield><subfield code="h">OLR-Open Access DOAB</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Das Ebook ist frei zugänglich.</subfield><subfield code="y">z</subfield><subfield code="z">02-04-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">95</subfield><subfield code="1">01</subfield><subfield code="x">3095</subfield><subfield code="b">4342189143</subfield><subfield code="h">OLR-OAB</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">23-06-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">105</subfield><subfield code="1">01</subfield><subfield code="x">0841</subfield><subfield code="b">4007069263</subfield><subfield code="h">OLR-OAB</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">25-11-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">110</subfield><subfield code="1">01</subfield><subfield code="x">3110</subfield><subfield code="b">4019769826</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="k">Open Access</subfield><subfield code="y">z</subfield><subfield code="z">14-12-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">120</subfield><subfield code="1">01</subfield><subfield code="x">0715</subfield><subfield code="b">4016830907</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">g</subfield><subfield code="j">--%%--</subfield><subfield code="h">alma</subfield><subfield code="y">z</subfield><subfield code="z">08-12-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">130</subfield><subfield code="1">01</subfield><subfield code="x">0700</subfield><subfield code="b">414570617X</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="y">z</subfield><subfield code="z">08-06-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">131</subfield><subfield code="1">01</subfield><subfield code="x">3131</subfield><subfield code="b">4465718721</subfield><subfield code="h">OLR-OA-DOAB</subfield><subfield code="k">Bitte beachten Sie die Nutzungsbedingungen und Copyright-Bestimmungen des Verlages/Herausgebers.</subfield><subfield code="y">z</subfield><subfield code="z">22-01-24</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">132</subfield><subfield code="1">01</subfield><subfield code="x">0959</subfield><subfield code="b">4149702896</subfield><subfield code="h">OLR-OAB</subfield><subfield code="u">Open Access</subfield><subfield code="y">x</subfield><subfield code="z">14-06-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">136</subfield><subfield code="1">01</subfield><subfield code="x">3526</subfield><subfield code="b">4005633323</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="y">z</subfield><subfield code="z">24-11-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">147</subfield><subfield code="1">01</subfield><subfield code="x">3528</subfield><subfield code="b">4123952771</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="k">frei verfügbar für Europa-Universität Flensburg, Hochschule Flensburg und Zentrale Hochschulbibliothek</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">27-04-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">161</subfield><subfield code="1">01</subfield><subfield code="x">0960</subfield><subfield code="b">415087476X</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="k">DOAB Directory of Open Access Books</subfield><subfield code="y">z</subfield><subfield code="z">16-06-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">213</subfield><subfield code="1">01</subfield><subfield code="x">0551</subfield><subfield code="b">410847922X</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="k">DOAB Directory of Open Access Books</subfield><subfield code="y">z</subfield><subfield code="z">31-03-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">230</subfield><subfield code="1">01</subfield><subfield code="x">0552</subfield><subfield code="b">4123452051</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="k">DOAB Directory of Open Access Books</subfield><subfield code="y">z</subfield><subfield code="z">27-04-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">283</subfield><subfield code="1">01</subfield><subfield code="x">3283</subfield><subfield code="b">4157014758</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">28-06-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">285</subfield><subfield code="1">01</subfield><subfield code="x">0517</subfield><subfield code="b">405025851X</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="y">z</subfield><subfield code="z">02-02-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">293</subfield><subfield code="1">01</subfield><subfield code="x">3293</subfield><subfield code="b">4153671576</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="k">DOAB Directory of Open Access Books</subfield><subfield code="y">z</subfield><subfield code="z">21-06-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">370</subfield><subfield code="1">01</subfield><subfield code="x">4370</subfield><subfield code="b">412552565X</subfield><subfield code="h">OLR-FREE</subfield><subfield code="k">Kostenloser Zugriff</subfield><subfield code="y">z</subfield><subfield code="z">28-04-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">635</subfield><subfield code="1">01</subfield><subfield code="x">3635</subfield><subfield code="b">4509830610</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="k">Open Access. Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">10-04-24</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">808</subfield><subfield code="1">01</subfield><subfield code="x">4808</subfield><subfield code="b">4158066859</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="k">DOAB Directory of Open Access Books</subfield><subfield code="y">zg</subfield><subfield code="z">29-06-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2011</subfield><subfield code="1">01</subfield><subfield code="x">DE-16</subfield><subfield code="b">4026473139</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="y">l01</subfield><subfield code="z">23-12-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2014</subfield><subfield code="1">01</subfield><subfield code="x">DE-90</subfield><subfield code="b">4011064416</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="y">l01</subfield><subfield code="z">01-12-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2018</subfield><subfield code="1">01</subfield><subfield code="x">DE-31</subfield><subfield code="b">4033425381</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Der Zugriff ist kostenfrei möglich.</subfield><subfield code="y">l01</subfield><subfield code="z">11-01-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2034</subfield><subfield code="1">01</subfield><subfield code="x">DE-Rt2</subfield><subfield code="b">4014429830</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">eBook</subfield><subfield code="e">n</subfield><subfield code="j">n</subfield><subfield code="k">frei zugänglich</subfield><subfield code="y">l01</subfield><subfield code="z">05-12-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2037</subfield><subfield code="1">01</subfield><subfield code="x">DE-747</subfield><subfield code="b">4345572118</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">eBook OAPEN Foundation OpenAccess</subfield><subfield code="e">--%%--</subfield><subfield code="j">n</subfield><subfield code="k">Im Internet frei verfügbar</subfield><subfield code="y">l01</subfield><subfield code="z">30-06-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2050</subfield><subfield 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author |
Ran, Shi-Ju |
spellingShingle |
Ran, Shi-Ju misc Optical physics misc Quantum physics (quantum mechanics & quantum field theory) misc Statistical physics misc Mathematical physics misc Machine learning 31 E-Book Open Access 132 EBooks DOAB Open Access Tensor Network Contractions Methods and Applications to Quantum Many-Body Systems |
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Ran, Shi-Ju |
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31 01 0027 00 E-Book Open Access 132 01 0959 00 EBooks DOAB Open Access Tensor Network Contractions Methods and Applications to Quantum Many-Body Systems Optical physics Quantum physics (quantum mechanics & quantum field theory) Statistical physics Mathematical physics Machine learning |
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Tensor Network Contractions Methods and Applications to Quantum Many-Body Systems |
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Tensor Network Contractions Methods and Applications to Quantum Many-Body Systems |
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Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such as condensed matter physics, statistic physics, high energy physics, and quantum information sciences. This open access book aims to explain the tensor network contraction approaches in a systematic way, from the basic definitions to the important applications. This book is also useful to those who apply tensor networks in areas beyond physics, such as machine learning and the big-data analysis. Tensor network originates from the numerical renormalization group approach proposed by K. G. Wilson in 1975. Through a rapid development in the last two decades, tensor network has become a powerful numerical tool that can efficiently simulate a wide range of scientific problems, with particular success in quantum many-body physics. Varieties of tensor network algorithms have been proposed for different problems. However, the connections among different algorithms are not well discussed or reviewed. To fill this gap, this book explains the fundamental concepts and basic ideas that connect and/or unify different strategies of the tensor network contraction algorithms. In addition, some of the recent progresses in dealing with tensor decomposition techniques and quantum simulations are also represented in this book to help the readers to better understand tensor network. This open access book is intended for graduated students, but can also be used as a professional book for researchers in the related fields. To understand most of the contents in the book, only basic knowledge of quantum mechanics and linear algebra is required. In order to fully understand some advanced parts, the reader will need to be familiar with notion of condensed matter physics and quantum information, that however are not necessary to understand the main parts of the book. This book is a good source for non-specialists on quantum physics to understand tensor network algorithms and the related mathematics |
abstractGer |
Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such as condensed matter physics, statistic physics, high energy physics, and quantum information sciences. This open access book aims to explain the tensor network contraction approaches in a systematic way, from the basic definitions to the important applications. This book is also useful to those who apply tensor networks in areas beyond physics, such as machine learning and the big-data analysis. Tensor network originates from the numerical renormalization group approach proposed by K. G. Wilson in 1975. Through a rapid development in the last two decades, tensor network has become a powerful numerical tool that can efficiently simulate a wide range of scientific problems, with particular success in quantum many-body physics. Varieties of tensor network algorithms have been proposed for different problems. However, the connections among different algorithms are not well discussed or reviewed. To fill this gap, this book explains the fundamental concepts and basic ideas that connect and/or unify different strategies of the tensor network contraction algorithms. In addition, some of the recent progresses in dealing with tensor decomposition techniques and quantum simulations are also represented in this book to help the readers to better understand tensor network. This open access book is intended for graduated students, but can also be used as a professional book for researchers in the related fields. To understand most of the contents in the book, only basic knowledge of quantum mechanics and linear algebra is required. In order to fully understand some advanced parts, the reader will need to be familiar with notion of condensed matter physics and quantum information, that however are not necessary to understand the main parts of the book. This book is a good source for non-specialists on quantum physics to understand tensor network algorithms and the related mathematics |
abstract_unstemmed |
Tensor network is a fundamental mathematical tool with a huge range of applications in physics, such as condensed matter physics, statistic physics, high energy physics, and quantum information sciences. This open access book aims to explain the tensor network contraction approaches in a systematic way, from the basic definitions to the important applications. This book is also useful to those who apply tensor networks in areas beyond physics, such as machine learning and the big-data analysis. Tensor network originates from the numerical renormalization group approach proposed by K. G. Wilson in 1975. Through a rapid development in the last two decades, tensor network has become a powerful numerical tool that can efficiently simulate a wide range of scientific problems, with particular success in quantum many-body physics. Varieties of tensor network algorithms have been proposed for different problems. However, the connections among different algorithms are not well discussed or reviewed. To fill this gap, this book explains the fundamental concepts and basic ideas that connect and/or unify different strategies of the tensor network contraction algorithms. In addition, some of the recent progresses in dealing with tensor decomposition techniques and quantum simulations are also represented in this book to help the readers to better understand tensor network. This open access book is intended for graduated students, but can also be used as a professional book for researchers in the related fields. To understand most of the contents in the book, only basic knowledge of quantum mechanics and linear algebra is required. In order to fully understand some advanced parts, the reader will need to be familiar with notion of condensed matter physics and quantum information, that however are not necessary to understand the main parts of the book. This book is a good source for non-specialists on quantum physics to understand tensor network algorithms and the related mathematics |
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tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-16</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-90</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2018</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2034</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-Rt2</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-747</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2050</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-Zi4</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2108</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-991</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2403</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ISIL_DE-LFER</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">BO</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">11</subfield><subfield code="1">01</subfield><subfield code="x">0001</subfield><subfield code="b">4023066583</subfield><subfield code="c">00</subfield><subfield code="f">5:LIZFREI</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="y">k</subfield><subfield code="z">20-12-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">20</subfield><subfield code="1">01</subfield><subfield code="x">0084</subfield><subfield code="b">4011999695</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="y">z</subfield><subfield code="z">01-12-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">22</subfield><subfield code="1">01</subfield><subfield code="x">0018</subfield><subfield code="b">4006090498</subfield><subfield code="h">OLR-ZDB-94-OAB</subfield><subfield code="k">DOAB Directory of Open Access Books</subfield><subfield code="y">zu</subfield><subfield code="z">25-11-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">23</subfield><subfield code="1">01</subfield><subfield code="x">0830</subfield><subfield code="b">4006608578</subfield><subfield code="h">olr-doab</subfield><subfield code="u">f</subfield><subfield code="y">z</subfield><subfield code="z">25-11-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">24</subfield><subfield code="1">01</subfield><subfield code="x">0008</subfield><subfield code="b">4060091502</subfield><subfield code="h">OLR-doab</subfield><subfield code="y">z</subfield><subfield code="z">15-02-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">30</subfield><subfield code="1">01</subfield><subfield code="x">0104</subfield><subfield code="b">4102087885</subfield><subfield code="h">OLR-OAB</subfield><subfield code="k">Open Access, Directory of Open Access Books (DOAB)</subfield><subfield code="y">z</subfield><subfield code="z">26-03-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">31</subfield><subfield code="1">01</subfield><subfield code="x">0027</subfield><subfield code="b">4052413326</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="y">z</subfield><subfield code="z">07-02-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">39</subfield><subfield code="1">01</subfield><subfield code="x">0547</subfield><subfield code="b">4105910094</subfield><subfield code="h">OLR-ZDB-94-OAB</subfield><subfield code="y">ke</subfield><subfield code="z">29-03-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">40</subfield><subfield code="1">01</subfield><subfield code="x">0007</subfield><subfield code="b">4011563412</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="y">xsn</subfield><subfield code="z">01-12-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">60</subfield><subfield code="1">01</subfield><subfield code="x">0705</subfield><subfield code="b">427591810X</subfield><subfield code="h">OPENAccess</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Keine Weitergabe an Dritte. Kein systematisches Downloaden durch Robots.</subfield><subfield code="k">Nur für Angehörige der HSU: Volltextzugang von außerhalb des Campus mit Anmeldung über Shibboleth mit Ihrer Bibliothekskennung</subfield><subfield code="y">z</subfield><subfield code="z">24-02-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">63</subfield><subfield code="1">01</subfield><subfield code="x">3401</subfield><subfield code="b">4106544563</subfield><subfield code="h">E-Books LF GBV-DOAB</subfield><subfield code="y">z</subfield><subfield code="z">29-03-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">65</subfield><subfield code="1">01</subfield><subfield code="x">0003</subfield><subfield code="b">4109241316</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="k">Nach dem deutschen Urheberrecht darf das Werk bzw. der Inhalt zum eigenen Gebrauch kostenfrei heruntergeladen, konsumiert, gespeichert oder ausgedruckt, nicht jedoch im Internet bereitgestellt oder an Außenstehende weitergegeben werden!</subfield><subfield code="y">z</subfield><subfield code="z">01-04-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">70</subfield><subfield code="1">01</subfield><subfield code="x">0089</subfield><subfield code="b">4006344619</subfield><subfield code="h">OLR-DOAB-OA</subfield><subfield code="k">DOAB Directory of Open Access Books</subfield><subfield code="y">z</subfield><subfield code="z">25-11-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">72</subfield><subfield code="1">01</subfield><subfield code="x">0035</subfield><subfield code="b">4104504971</subfield><subfield code="h">OLR-ZDB-94-OAB</subfield><subfield code="k">DOAB Directory of Open Access Books</subfield><subfield code="y">z</subfield><subfield code="z">28-03-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">90</subfield><subfield code="1">01</subfield><subfield code="x">3090</subfield><subfield code="b">4106333147</subfield><subfield code="h">OLR-HILoapen</subfield><subfield code="y">z</subfield><subfield code="z">29-03-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">91</subfield><subfield code="1">01</subfield><subfield code="x">3091</subfield><subfield code="b">4011316180</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="k">DOAB Directory of Open Access Books</subfield><subfield code="y">z</subfield><subfield code="z">01-12-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">92</subfield><subfield code="1">01</subfield><subfield code="x">0033</subfield><subfield code="b">4110692792</subfield><subfield code="h">OLR-Open Access DOAB</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt. Das Ebook ist frei zugänglich.</subfield><subfield code="y">z</subfield><subfield code="z">02-04-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">95</subfield><subfield code="1">01</subfield><subfield code="x">3095</subfield><subfield code="b">4342189143</subfield><subfield code="h">OLR-OAB</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">23-06-23</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">105</subfield><subfield code="1">01</subfield><subfield code="x">0841</subfield><subfield code="b">4007069263</subfield><subfield code="h">OLR-OAB</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">25-11-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">110</subfield><subfield code="1">01</subfield><subfield code="x">3110</subfield><subfield code="b">4019769826</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="k">Open Access</subfield><subfield code="y">z</subfield><subfield code="z">14-12-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">120</subfield><subfield code="1">01</subfield><subfield code="x">0715</subfield><subfield code="b">4016830907</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">g</subfield><subfield code="j">--%%--</subfield><subfield code="h">alma</subfield><subfield code="y">z</subfield><subfield code="z">08-12-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">130</subfield><subfield code="1">01</subfield><subfield code="x">0700</subfield><subfield code="b">414570617X</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="y">z</subfield><subfield code="z">08-06-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">131</subfield><subfield code="1">01</subfield><subfield code="x">3131</subfield><subfield code="b">4465718721</subfield><subfield code="h">OLR-OA-DOAB</subfield><subfield code="k">Bitte beachten Sie die Nutzungsbedingungen und Copyright-Bestimmungen des Verlages/Herausgebers.</subfield><subfield code="y">z</subfield><subfield code="z">22-01-24</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">132</subfield><subfield code="1">01</subfield><subfield code="x">0959</subfield><subfield code="b">4149702896</subfield><subfield code="h">OLR-OAB</subfield><subfield code="u">Open Access</subfield><subfield code="y">x</subfield><subfield code="z">14-06-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">136</subfield><subfield code="1">01</subfield><subfield code="x">3526</subfield><subfield code="b">4005633323</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="y">z</subfield><subfield code="z">24-11-21</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">147</subfield><subfield code="1">01</subfield><subfield code="x">3528</subfield><subfield code="b">4123952771</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="k">frei verfügbar für Europa-Universität Flensburg, Hochschule Flensburg und Zentrale Hochschulbibliothek</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">27-04-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">161</subfield><subfield code="1">01</subfield><subfield code="x">0960</subfield><subfield code="b">415087476X</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="k">DOAB Directory of Open Access Books</subfield><subfield code="y">z</subfield><subfield code="z">16-06-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">213</subfield><subfield code="1">01</subfield><subfield code="x">0551</subfield><subfield code="b">410847922X</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="k">DOAB Directory of Open Access Books</subfield><subfield code="y">z</subfield><subfield code="z">31-03-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">230</subfield><subfield code="1">01</subfield><subfield code="x">0552</subfield><subfield code="b">4123452051</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="k">DOAB Directory of Open Access Books</subfield><subfield code="y">z</subfield><subfield code="z">27-04-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">283</subfield><subfield code="1">01</subfield><subfield code="x">3283</subfield><subfield code="b">4157014758</subfield><subfield code="k">Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">28-06-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">285</subfield><subfield code="1">01</subfield><subfield code="x">0517</subfield><subfield code="b">405025851X</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="y">z</subfield><subfield code="z">02-02-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">293</subfield><subfield code="1">01</subfield><subfield code="x">3293</subfield><subfield code="b">4153671576</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="k">DOAB Directory of Open Access Books</subfield><subfield code="y">z</subfield><subfield code="z">21-06-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">370</subfield><subfield code="1">01</subfield><subfield code="x">4370</subfield><subfield code="b">412552565X</subfield><subfield code="h">OLR-FREE</subfield><subfield code="k">Kostenloser Zugriff</subfield><subfield code="y">z</subfield><subfield code="z">28-04-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">635</subfield><subfield code="1">01</subfield><subfield code="x">3635</subfield><subfield code="b">4509830610</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="k">Open Access. Vervielfältigungen (z.B. Kopien, Downloads) sind nur von einzelnen Kapiteln oder Seiten und nur zum eigenen wissenschaftlichen Gebrauch erlaubt. Die Weitergabe an Dritte sowie systematisches Downloaden sind untersagt.</subfield><subfield code="y">z</subfield><subfield code="z">10-04-24</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">808</subfield><subfield code="1">01</subfield><subfield code="x">4808</subfield><subfield code="b">4158066859</subfield><subfield code="h">OLR-DOAB</subfield><subfield code="k">DOAB Directory of Open Access Books</subfield><subfield code="y">zg</subfield><subfield code="z">29-06-22</subfield></datafield><datafield tag="980" ind1=" " ind2=" "><subfield code="2">2011</subfield><subfield code="1">01</subfield><subfield code="x">DE-16</subfield><subfield code="b">4026473139</subfield><subfield code="c">00</subfield><subfield code="f">--%%--</subfield><subfield code="d">--%%--</subfield><subfield code="e">--%%--</subfield><subfield code="j">--%%--</subfield><subfield code="y">l01</subfield><subfield code="z">23-12-21</subfield></datafield><datafield tag="980" ind1=" " 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