A fast particle level set method with optimized particle correction procedure for interface capturing
With the correction of the level set function by the use of Lagrangian maker particles, the particle level method has been proven to be an accurate and robust scheme to capture the evolution of moving interface [1]. In this work, together with the later improved version [2], the drawbacks of the par...
Ausführliche Beschreibung
Autor*in: |
Jiang, Liang [verfasserIn] |
---|
Format: |
E-Artikel |
---|---|
Sprache: |
Englisch |
Erschienen: |
2015transfer abstract |
---|
Schlagwörter: |
---|
Umfang: |
16 |
---|
Übergeordnetes Werk: |
Enthalten in: Future-oriented repetitive thought, depressive symptoms, and suicide ideation severity: Role of future-event fluency and depressive predictive certainty - Miranda, Regina ELSEVIER, 2023, Amsterdam |
---|---|
Übergeordnetes Werk: |
volume:299 ; year:2015 ; day:15 ; month:10 ; pages:804-819 ; extent:16 |
Links: |
---|
DOI / URN: |
10.1016/j.jcp.2015.06.039 |
---|
Katalog-ID: |
ELV029343305 |
---|
LEADER | 01000caa a22002652 4500 | ||
---|---|---|---|
001 | ELV029343305 | ||
003 | DE-627 | ||
005 | 20230625172417.0 | ||
007 | cr uuu---uuuuu | ||
008 | 180603s2015 xx |||||o 00| ||eng c | ||
024 | 7 | |a 10.1016/j.jcp.2015.06.039 |2 doi | |
028 | 5 | 2 | |a GBVA2015022000008.pica |
035 | |a (DE-627)ELV029343305 | ||
035 | |a (ELSEVIER)S0021-9991(15)00437-4 | ||
040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
041 | |a eng | ||
082 | 0 | |a 530 |a 510 |a 000 | |
082 | 0 | 4 | |a 530 |q DE-600 |
082 | 0 | 4 | |a 510 |q DE-600 |
082 | 0 | 4 | |a 000 |q DE-600 |
082 | 0 | 4 | |a 610 |q VZ |
084 | |a 44.91 |2 bkl | ||
100 | 1 | |a Jiang, Liang |e verfasserin |4 aut | |
245 | 1 | 0 | |a A fast particle level set method with optimized particle correction procedure for interface capturing |
264 | 1 | |c 2015transfer abstract | |
300 | |a 16 | ||
336 | |a nicht spezifiziert |b zzz |2 rdacontent | ||
337 | |a nicht spezifiziert |b z |2 rdamedia | ||
338 | |a nicht spezifiziert |b zu |2 rdacarrier | ||
520 | |a With the correction of the level set function by the use of Lagrangian maker particles, the particle level method has been proven to be an accurate and robust scheme to capture the evolution of moving interface [1]. In this work, together with the later improved version [2], the drawbacks of the particle correction procedure in the original particle level set method were investigated in detail and an optimized particle correction procedure was developed to improve the accuracy and robustness of the implicitly represented moving interface. A refined grid point level set value selection process has been proposed and shown to effectively improve the interface location accuracy through a set of standard advection test cases when using a fast first order accurate semi-Lagrangian solver firstly proposed in [3]. With the implementation of our enhanced level set value selection procedure during the particle correction stage, it was observed that the particle reseeding was not required, which allowed for faster runtime performance of the fast particle level set method without compromising interface position accuracy. | ||
520 | |a With the correction of the level set function by the use of Lagrangian maker particles, the particle level method has been proven to be an accurate and robust scheme to capture the evolution of moving interface [1]. In this work, together with the later improved version [2], the drawbacks of the particle correction procedure in the original particle level set method were investigated in detail and an optimized particle correction procedure was developed to improve the accuracy and robustness of the implicitly represented moving interface. A refined grid point level set value selection process has been proposed and shown to effectively improve the interface location accuracy through a set of standard advection test cases when using a fast first order accurate semi-Lagrangian solver firstly proposed in [3]. With the implementation of our enhanced level set value selection procedure during the particle correction stage, it was observed that the particle reseeding was not required, which allowed for faster runtime performance of the fast particle level set method without compromising interface position accuracy. | ||
650 | 7 | |a Corrected level set value |2 Elsevier | |
650 | 7 | |a Interface capturing |2 Elsevier | |
650 | 7 | |a Particle defined level set function |2 Elsevier | |
650 | 7 | |a Particle level set method |2 Elsevier | |
700 | 1 | |a Liu, Fengbin |4 oth | |
700 | 1 | |a Chen, Darong |4 oth | |
773 | 0 | 8 | |i Enthalten in |n Elsevier |a Miranda, Regina ELSEVIER |t Future-oriented repetitive thought, depressive symptoms, and suicide ideation severity: Role of future-event fluency and depressive predictive certainty |d 2023 |g Amsterdam |w (DE-627)ELV010178430 |
773 | 1 | 8 | |g volume:299 |g year:2015 |g day:15 |g month:10 |g pages:804-819 |g extent:16 |
856 | 4 | 0 | |u https://doi.org/10.1016/j.jcp.2015.06.039 |3 Volltext |
912 | |a GBV_USEFLAG_U | ||
912 | |a GBV_ELV | ||
912 | |a SYSFLAG_U | ||
912 | |a SSG-OLC-PHA | ||
912 | |a GBV_ILN_24 | ||
912 | |a GBV_ILN_90 | ||
936 | b | k | |a 44.91 |j Psychiatrie |j Psychopathologie |q VZ |
951 | |a AR | ||
952 | |d 299 |j 2015 |b 15 |c 1015 |h 804-819 |g 16 | ||
953 | |2 045F |a 530 |
author_variant |
l j lj |
---|---|
matchkey_str |
jiangliangliufengbinchendarong:2015----:fsprillvlemtowtotmzdatceorcinrcdr |
hierarchy_sort_str |
2015transfer abstract |
bklnumber |
44.91 |
publishDate |
2015 |
allfields |
10.1016/j.jcp.2015.06.039 doi GBVA2015022000008.pica (DE-627)ELV029343305 (ELSEVIER)S0021-9991(15)00437-4 DE-627 ger DE-627 rakwb eng 530 510 000 530 DE-600 510 DE-600 000 DE-600 610 VZ 44.91 bkl Jiang, Liang verfasserin aut A fast particle level set method with optimized particle correction procedure for interface capturing 2015transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier With the correction of the level set function by the use of Lagrangian maker particles, the particle level method has been proven to be an accurate and robust scheme to capture the evolution of moving interface [1]. In this work, together with the later improved version [2], the drawbacks of the particle correction procedure in the original particle level set method were investigated in detail and an optimized particle correction procedure was developed to improve the accuracy and robustness of the implicitly represented moving interface. A refined grid point level set value selection process has been proposed and shown to effectively improve the interface location accuracy through a set of standard advection test cases when using a fast first order accurate semi-Lagrangian solver firstly proposed in [3]. With the implementation of our enhanced level set value selection procedure during the particle correction stage, it was observed that the particle reseeding was not required, which allowed for faster runtime performance of the fast particle level set method without compromising interface position accuracy. With the correction of the level set function by the use of Lagrangian maker particles, the particle level method has been proven to be an accurate and robust scheme to capture the evolution of moving interface [1]. In this work, together with the later improved version [2], the drawbacks of the particle correction procedure in the original particle level set method were investigated in detail and an optimized particle correction procedure was developed to improve the accuracy and robustness of the implicitly represented moving interface. A refined grid point level set value selection process has been proposed and shown to effectively improve the interface location accuracy through a set of standard advection test cases when using a fast first order accurate semi-Lagrangian solver firstly proposed in [3]. With the implementation of our enhanced level set value selection procedure during the particle correction stage, it was observed that the particle reseeding was not required, which allowed for faster runtime performance of the fast particle level set method without compromising interface position accuracy. Corrected level set value Elsevier Interface capturing Elsevier Particle defined level set function Elsevier Particle level set method Elsevier Liu, Fengbin oth Chen, Darong oth Enthalten in Elsevier Miranda, Regina ELSEVIER Future-oriented repetitive thought, depressive symptoms, and suicide ideation severity: Role of future-event fluency and depressive predictive certainty 2023 Amsterdam (DE-627)ELV010178430 volume:299 year:2015 day:15 month:10 pages:804-819 extent:16 https://doi.org/10.1016/j.jcp.2015.06.039 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_24 GBV_ILN_90 44.91 Psychiatrie Psychopathologie VZ AR 299 2015 15 1015 804-819 16 045F 530 |
spelling |
10.1016/j.jcp.2015.06.039 doi GBVA2015022000008.pica (DE-627)ELV029343305 (ELSEVIER)S0021-9991(15)00437-4 DE-627 ger DE-627 rakwb eng 530 510 000 530 DE-600 510 DE-600 000 DE-600 610 VZ 44.91 bkl Jiang, Liang verfasserin aut A fast particle level set method with optimized particle correction procedure for interface capturing 2015transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier With the correction of the level set function by the use of Lagrangian maker particles, the particle level method has been proven to be an accurate and robust scheme to capture the evolution of moving interface [1]. In this work, together with the later improved version [2], the drawbacks of the particle correction procedure in the original particle level set method were investigated in detail and an optimized particle correction procedure was developed to improve the accuracy and robustness of the implicitly represented moving interface. A refined grid point level set value selection process has been proposed and shown to effectively improve the interface location accuracy through a set of standard advection test cases when using a fast first order accurate semi-Lagrangian solver firstly proposed in [3]. With the implementation of our enhanced level set value selection procedure during the particle correction stage, it was observed that the particle reseeding was not required, which allowed for faster runtime performance of the fast particle level set method without compromising interface position accuracy. With the correction of the level set function by the use of Lagrangian maker particles, the particle level method has been proven to be an accurate and robust scheme to capture the evolution of moving interface [1]. In this work, together with the later improved version [2], the drawbacks of the particle correction procedure in the original particle level set method were investigated in detail and an optimized particle correction procedure was developed to improve the accuracy and robustness of the implicitly represented moving interface. A refined grid point level set value selection process has been proposed and shown to effectively improve the interface location accuracy through a set of standard advection test cases when using a fast first order accurate semi-Lagrangian solver firstly proposed in [3]. With the implementation of our enhanced level set value selection procedure during the particle correction stage, it was observed that the particle reseeding was not required, which allowed for faster runtime performance of the fast particle level set method without compromising interface position accuracy. Corrected level set value Elsevier Interface capturing Elsevier Particle defined level set function Elsevier Particle level set method Elsevier Liu, Fengbin oth Chen, Darong oth Enthalten in Elsevier Miranda, Regina ELSEVIER Future-oriented repetitive thought, depressive symptoms, and suicide ideation severity: Role of future-event fluency and depressive predictive certainty 2023 Amsterdam (DE-627)ELV010178430 volume:299 year:2015 day:15 month:10 pages:804-819 extent:16 https://doi.org/10.1016/j.jcp.2015.06.039 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_24 GBV_ILN_90 44.91 Psychiatrie Psychopathologie VZ AR 299 2015 15 1015 804-819 16 045F 530 |
allfields_unstemmed |
10.1016/j.jcp.2015.06.039 doi GBVA2015022000008.pica (DE-627)ELV029343305 (ELSEVIER)S0021-9991(15)00437-4 DE-627 ger DE-627 rakwb eng 530 510 000 530 DE-600 510 DE-600 000 DE-600 610 VZ 44.91 bkl Jiang, Liang verfasserin aut A fast particle level set method with optimized particle correction procedure for interface capturing 2015transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier With the correction of the level set function by the use of Lagrangian maker particles, the particle level method has been proven to be an accurate and robust scheme to capture the evolution of moving interface [1]. In this work, together with the later improved version [2], the drawbacks of the particle correction procedure in the original particle level set method were investigated in detail and an optimized particle correction procedure was developed to improve the accuracy and robustness of the implicitly represented moving interface. A refined grid point level set value selection process has been proposed and shown to effectively improve the interface location accuracy through a set of standard advection test cases when using a fast first order accurate semi-Lagrangian solver firstly proposed in [3]. With the implementation of our enhanced level set value selection procedure during the particle correction stage, it was observed that the particle reseeding was not required, which allowed for faster runtime performance of the fast particle level set method without compromising interface position accuracy. With the correction of the level set function by the use of Lagrangian maker particles, the particle level method has been proven to be an accurate and robust scheme to capture the evolution of moving interface [1]. In this work, together with the later improved version [2], the drawbacks of the particle correction procedure in the original particle level set method were investigated in detail and an optimized particle correction procedure was developed to improve the accuracy and robustness of the implicitly represented moving interface. A refined grid point level set value selection process has been proposed and shown to effectively improve the interface location accuracy through a set of standard advection test cases when using a fast first order accurate semi-Lagrangian solver firstly proposed in [3]. With the implementation of our enhanced level set value selection procedure during the particle correction stage, it was observed that the particle reseeding was not required, which allowed for faster runtime performance of the fast particle level set method without compromising interface position accuracy. Corrected level set value Elsevier Interface capturing Elsevier Particle defined level set function Elsevier Particle level set method Elsevier Liu, Fengbin oth Chen, Darong oth Enthalten in Elsevier Miranda, Regina ELSEVIER Future-oriented repetitive thought, depressive symptoms, and suicide ideation severity: Role of future-event fluency and depressive predictive certainty 2023 Amsterdam (DE-627)ELV010178430 volume:299 year:2015 day:15 month:10 pages:804-819 extent:16 https://doi.org/10.1016/j.jcp.2015.06.039 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_24 GBV_ILN_90 44.91 Psychiatrie Psychopathologie VZ AR 299 2015 15 1015 804-819 16 045F 530 |
allfieldsGer |
10.1016/j.jcp.2015.06.039 doi GBVA2015022000008.pica (DE-627)ELV029343305 (ELSEVIER)S0021-9991(15)00437-4 DE-627 ger DE-627 rakwb eng 530 510 000 530 DE-600 510 DE-600 000 DE-600 610 VZ 44.91 bkl Jiang, Liang verfasserin aut A fast particle level set method with optimized particle correction procedure for interface capturing 2015transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier With the correction of the level set function by the use of Lagrangian maker particles, the particle level method has been proven to be an accurate and robust scheme to capture the evolution of moving interface [1]. In this work, together with the later improved version [2], the drawbacks of the particle correction procedure in the original particle level set method were investigated in detail and an optimized particle correction procedure was developed to improve the accuracy and robustness of the implicitly represented moving interface. A refined grid point level set value selection process has been proposed and shown to effectively improve the interface location accuracy through a set of standard advection test cases when using a fast first order accurate semi-Lagrangian solver firstly proposed in [3]. With the implementation of our enhanced level set value selection procedure during the particle correction stage, it was observed that the particle reseeding was not required, which allowed for faster runtime performance of the fast particle level set method without compromising interface position accuracy. With the correction of the level set function by the use of Lagrangian maker particles, the particle level method has been proven to be an accurate and robust scheme to capture the evolution of moving interface [1]. In this work, together with the later improved version [2], the drawbacks of the particle correction procedure in the original particle level set method were investigated in detail and an optimized particle correction procedure was developed to improve the accuracy and robustness of the implicitly represented moving interface. A refined grid point level set value selection process has been proposed and shown to effectively improve the interface location accuracy through a set of standard advection test cases when using a fast first order accurate semi-Lagrangian solver firstly proposed in [3]. With the implementation of our enhanced level set value selection procedure during the particle correction stage, it was observed that the particle reseeding was not required, which allowed for faster runtime performance of the fast particle level set method without compromising interface position accuracy. Corrected level set value Elsevier Interface capturing Elsevier Particle defined level set function Elsevier Particle level set method Elsevier Liu, Fengbin oth Chen, Darong oth Enthalten in Elsevier Miranda, Regina ELSEVIER Future-oriented repetitive thought, depressive symptoms, and suicide ideation severity: Role of future-event fluency and depressive predictive certainty 2023 Amsterdam (DE-627)ELV010178430 volume:299 year:2015 day:15 month:10 pages:804-819 extent:16 https://doi.org/10.1016/j.jcp.2015.06.039 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_24 GBV_ILN_90 44.91 Psychiatrie Psychopathologie VZ AR 299 2015 15 1015 804-819 16 045F 530 |
allfieldsSound |
10.1016/j.jcp.2015.06.039 doi GBVA2015022000008.pica (DE-627)ELV029343305 (ELSEVIER)S0021-9991(15)00437-4 DE-627 ger DE-627 rakwb eng 530 510 000 530 DE-600 510 DE-600 000 DE-600 610 VZ 44.91 bkl Jiang, Liang verfasserin aut A fast particle level set method with optimized particle correction procedure for interface capturing 2015transfer abstract 16 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier With the correction of the level set function by the use of Lagrangian maker particles, the particle level method has been proven to be an accurate and robust scheme to capture the evolution of moving interface [1]. In this work, together with the later improved version [2], the drawbacks of the particle correction procedure in the original particle level set method were investigated in detail and an optimized particle correction procedure was developed to improve the accuracy and robustness of the implicitly represented moving interface. A refined grid point level set value selection process has been proposed and shown to effectively improve the interface location accuracy through a set of standard advection test cases when using a fast first order accurate semi-Lagrangian solver firstly proposed in [3]. With the implementation of our enhanced level set value selection procedure during the particle correction stage, it was observed that the particle reseeding was not required, which allowed for faster runtime performance of the fast particle level set method without compromising interface position accuracy. With the correction of the level set function by the use of Lagrangian maker particles, the particle level method has been proven to be an accurate and robust scheme to capture the evolution of moving interface [1]. In this work, together with the later improved version [2], the drawbacks of the particle correction procedure in the original particle level set method were investigated in detail and an optimized particle correction procedure was developed to improve the accuracy and robustness of the implicitly represented moving interface. A refined grid point level set value selection process has been proposed and shown to effectively improve the interface location accuracy through a set of standard advection test cases when using a fast first order accurate semi-Lagrangian solver firstly proposed in [3]. With the implementation of our enhanced level set value selection procedure during the particle correction stage, it was observed that the particle reseeding was not required, which allowed for faster runtime performance of the fast particle level set method without compromising interface position accuracy. Corrected level set value Elsevier Interface capturing Elsevier Particle defined level set function Elsevier Particle level set method Elsevier Liu, Fengbin oth Chen, Darong oth Enthalten in Elsevier Miranda, Regina ELSEVIER Future-oriented repetitive thought, depressive symptoms, and suicide ideation severity: Role of future-event fluency and depressive predictive certainty 2023 Amsterdam (DE-627)ELV010178430 volume:299 year:2015 day:15 month:10 pages:804-819 extent:16 https://doi.org/10.1016/j.jcp.2015.06.039 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_24 GBV_ILN_90 44.91 Psychiatrie Psychopathologie VZ AR 299 2015 15 1015 804-819 16 045F 530 |
language |
English |
source |
Enthalten in Future-oriented repetitive thought, depressive symptoms, and suicide ideation severity: Role of future-event fluency and depressive predictive certainty Amsterdam volume:299 year:2015 day:15 month:10 pages:804-819 extent:16 |
sourceStr |
Enthalten in Future-oriented repetitive thought, depressive symptoms, and suicide ideation severity: Role of future-event fluency and depressive predictive certainty Amsterdam volume:299 year:2015 day:15 month:10 pages:804-819 extent:16 |
format_phy_str_mv |
Article |
bklname |
Psychiatrie Psychopathologie |
institution |
findex.gbv.de |
topic_facet |
Corrected level set value Interface capturing Particle defined level set function Particle level set method |
dewey-raw |
530 |
isfreeaccess_bool |
false |
container_title |
Future-oriented repetitive thought, depressive symptoms, and suicide ideation severity: Role of future-event fluency and depressive predictive certainty |
authorswithroles_txt_mv |
Jiang, Liang @@aut@@ Liu, Fengbin @@oth@@ Chen, Darong @@oth@@ |
publishDateDaySort_date |
2015-01-15T00:00:00Z |
hierarchy_top_id |
ELV010178430 |
dewey-sort |
3530 |
id |
ELV029343305 |
language_de |
englisch |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV029343305</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230625172417.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2015 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.jcp.2015.06.039</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2015022000008.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV029343305</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0021-9991(15)00437-4</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">530</subfield><subfield code="a">510</subfield><subfield code="a">000</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">530</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">510</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">000</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.91</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Jiang, Liang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A fast particle level set method with optimized particle correction procedure for interface capturing</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">16</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">With the correction of the level set function by the use of Lagrangian maker particles, the particle level method has been proven to be an accurate and robust scheme to capture the evolution of moving interface [1]. In this work, together with the later improved version [2], the drawbacks of the particle correction procedure in the original particle level set method were investigated in detail and an optimized particle correction procedure was developed to improve the accuracy and robustness of the implicitly represented moving interface. A refined grid point level set value selection process has been proposed and shown to effectively improve the interface location accuracy through a set of standard advection test cases when using a fast first order accurate semi-Lagrangian solver firstly proposed in [3]. With the implementation of our enhanced level set value selection procedure during the particle correction stage, it was observed that the particle reseeding was not required, which allowed for faster runtime performance of the fast particle level set method without compromising interface position accuracy.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">With the correction of the level set function by the use of Lagrangian maker particles, the particle level method has been proven to be an accurate and robust scheme to capture the evolution of moving interface [1]. In this work, together with the later improved version [2], the drawbacks of the particle correction procedure in the original particle level set method were investigated in detail and an optimized particle correction procedure was developed to improve the accuracy and robustness of the implicitly represented moving interface. A refined grid point level set value selection process has been proposed and shown to effectively improve the interface location accuracy through a set of standard advection test cases when using a fast first order accurate semi-Lagrangian solver firstly proposed in [3]. With the implementation of our enhanced level set value selection procedure during the particle correction stage, it was observed that the particle reseeding was not required, which allowed for faster runtime performance of the fast particle level set method without compromising interface position accuracy.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Corrected level set value</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Interface capturing</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Particle defined level set function</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Particle level set method</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liu, Fengbin</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chen, Darong</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Miranda, Regina ELSEVIER</subfield><subfield code="t">Future-oriented repetitive thought, depressive symptoms, and suicide ideation severity: Role of future-event fluency and depressive predictive certainty</subfield><subfield code="d">2023</subfield><subfield code="g">Amsterdam</subfield><subfield code="w">(DE-627)ELV010178430</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:299</subfield><subfield code="g">year:2015</subfield><subfield code="g">day:15</subfield><subfield code="g">month:10</subfield><subfield code="g">pages:804-819</subfield><subfield code="g">extent:16</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.jcp.2015.06.039</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.91</subfield><subfield code="j">Psychiatrie</subfield><subfield code="j">Psychopathologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">299</subfield><subfield code="j">2015</subfield><subfield code="b">15</subfield><subfield code="c">1015</subfield><subfield code="h">804-819</subfield><subfield code="g">16</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">530</subfield></datafield></record></collection>
|
author |
Jiang, Liang |
spellingShingle |
Jiang, Liang ddc 530 ddc 510 ddc 000 ddc 610 bkl 44.91 Elsevier Corrected level set value Elsevier Interface capturing Elsevier Particle defined level set function Elsevier Particle level set method A fast particle level set method with optimized particle correction procedure for interface capturing |
authorStr |
Jiang, Liang |
ppnlink_with_tag_str_mv |
@@773@@(DE-627)ELV010178430 |
format |
electronic Article |
dewey-ones |
530 - Physics 510 - Mathematics 000 - Computer science, information & general works 610 - Medicine & health |
delete_txt_mv |
keep |
author_role |
aut |
collection |
elsevier |
remote_str |
true |
illustrated |
Not Illustrated |
topic_title |
530 510 000 530 DE-600 510 DE-600 000 DE-600 610 VZ 44.91 bkl A fast particle level set method with optimized particle correction procedure for interface capturing Corrected level set value Elsevier Interface capturing Elsevier Particle defined level set function Elsevier Particle level set method Elsevier |
topic |
ddc 530 ddc 510 ddc 000 ddc 610 bkl 44.91 Elsevier Corrected level set value Elsevier Interface capturing Elsevier Particle defined level set function Elsevier Particle level set method |
topic_unstemmed |
ddc 530 ddc 510 ddc 000 ddc 610 bkl 44.91 Elsevier Corrected level set value Elsevier Interface capturing Elsevier Particle defined level set function Elsevier Particle level set method |
topic_browse |
ddc 530 ddc 510 ddc 000 ddc 610 bkl 44.91 Elsevier Corrected level set value Elsevier Interface capturing Elsevier Particle defined level set function Elsevier Particle level set method |
format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
format_main_str_mv |
Text Zeitschrift/Artikel |
carriertype_str_mv |
zu |
author2_variant |
f l fl d c dc |
hierarchy_parent_title |
Future-oriented repetitive thought, depressive symptoms, and suicide ideation severity: Role of future-event fluency and depressive predictive certainty |
hierarchy_parent_id |
ELV010178430 |
dewey-tens |
530 - Physics 510 - Mathematics 000 - Computer science, knowledge & systems 610 - Medicine & health |
hierarchy_top_title |
Future-oriented repetitive thought, depressive symptoms, and suicide ideation severity: Role of future-event fluency and depressive predictive certainty |
isfreeaccess_txt |
false |
familylinks_str_mv |
(DE-627)ELV010178430 |
title |
A fast particle level set method with optimized particle correction procedure for interface capturing |
ctrlnum |
(DE-627)ELV029343305 (ELSEVIER)S0021-9991(15)00437-4 |
title_full |
A fast particle level set method with optimized particle correction procedure for interface capturing |
author_sort |
Jiang, Liang |
journal |
Future-oriented repetitive thought, depressive symptoms, and suicide ideation severity: Role of future-event fluency and depressive predictive certainty |
journalStr |
Future-oriented repetitive thought, depressive symptoms, and suicide ideation severity: Role of future-event fluency and depressive predictive certainty |
lang_code |
eng |
isOA_bool |
false |
dewey-hundreds |
500 - Science 000 - Computer science, information & general works 600 - Technology |
recordtype |
marc |
publishDateSort |
2015 |
contenttype_str_mv |
zzz |
container_start_page |
804 |
author_browse |
Jiang, Liang |
container_volume |
299 |
physical |
16 |
class |
530 510 000 530 DE-600 510 DE-600 000 DE-600 610 VZ 44.91 bkl |
format_se |
Elektronische Aufsätze |
author-letter |
Jiang, Liang |
doi_str_mv |
10.1016/j.jcp.2015.06.039 |
dewey-full |
530 510 000 610 |
title_sort |
a fast particle level set method with optimized particle correction procedure for interface capturing |
title_auth |
A fast particle level set method with optimized particle correction procedure for interface capturing |
abstract |
With the correction of the level set function by the use of Lagrangian maker particles, the particle level method has been proven to be an accurate and robust scheme to capture the evolution of moving interface [1]. In this work, together with the later improved version [2], the drawbacks of the particle correction procedure in the original particle level set method were investigated in detail and an optimized particle correction procedure was developed to improve the accuracy and robustness of the implicitly represented moving interface. A refined grid point level set value selection process has been proposed and shown to effectively improve the interface location accuracy through a set of standard advection test cases when using a fast first order accurate semi-Lagrangian solver firstly proposed in [3]. With the implementation of our enhanced level set value selection procedure during the particle correction stage, it was observed that the particle reseeding was not required, which allowed for faster runtime performance of the fast particle level set method without compromising interface position accuracy. |
abstractGer |
With the correction of the level set function by the use of Lagrangian maker particles, the particle level method has been proven to be an accurate and robust scheme to capture the evolution of moving interface [1]. In this work, together with the later improved version [2], the drawbacks of the particle correction procedure in the original particle level set method were investigated in detail and an optimized particle correction procedure was developed to improve the accuracy and robustness of the implicitly represented moving interface. A refined grid point level set value selection process has been proposed and shown to effectively improve the interface location accuracy through a set of standard advection test cases when using a fast first order accurate semi-Lagrangian solver firstly proposed in [3]. With the implementation of our enhanced level set value selection procedure during the particle correction stage, it was observed that the particle reseeding was not required, which allowed for faster runtime performance of the fast particle level set method without compromising interface position accuracy. |
abstract_unstemmed |
With the correction of the level set function by the use of Lagrangian maker particles, the particle level method has been proven to be an accurate and robust scheme to capture the evolution of moving interface [1]. In this work, together with the later improved version [2], the drawbacks of the particle correction procedure in the original particle level set method were investigated in detail and an optimized particle correction procedure was developed to improve the accuracy and robustness of the implicitly represented moving interface. A refined grid point level set value selection process has been proposed and shown to effectively improve the interface location accuracy through a set of standard advection test cases when using a fast first order accurate semi-Lagrangian solver firstly proposed in [3]. With the implementation of our enhanced level set value selection procedure during the particle correction stage, it was observed that the particle reseeding was not required, which allowed for faster runtime performance of the fast particle level set method without compromising interface position accuracy. |
collection_details |
GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA GBV_ILN_24 GBV_ILN_90 |
title_short |
A fast particle level set method with optimized particle correction procedure for interface capturing |
url |
https://doi.org/10.1016/j.jcp.2015.06.039 |
remote_bool |
true |
author2 |
Liu, Fengbin Chen, Darong |
author2Str |
Liu, Fengbin Chen, Darong |
ppnlink |
ELV010178430 |
mediatype_str_mv |
z |
isOA_txt |
false |
hochschulschrift_bool |
false |
author2_role |
oth oth |
doi_str |
10.1016/j.jcp.2015.06.039 |
up_date |
2024-07-06T21:12:40.790Z |
_version_ |
1803865671117832192 |
fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">ELV029343305</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230625172417.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">180603s2015 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1016/j.jcp.2015.06.039</subfield><subfield code="2">doi</subfield></datafield><datafield tag="028" ind1="5" ind2="2"><subfield code="a">GBVA2015022000008.pica</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)ELV029343305</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(ELSEVIER)S0021-9991(15)00437-4</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="082" ind1="0" ind2=" "><subfield code="a">530</subfield><subfield code="a">510</subfield><subfield code="a">000</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">530</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">510</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">000</subfield><subfield code="q">DE-600</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">610</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">44.91</subfield><subfield code="2">bkl</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Jiang, Liang</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">A fast particle level set method with optimized particle correction procedure for interface capturing</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2015transfer abstract</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">16</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zzz</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">z</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">nicht spezifiziert</subfield><subfield code="b">zu</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">With the correction of the level set function by the use of Lagrangian maker particles, the particle level method has been proven to be an accurate and robust scheme to capture the evolution of moving interface [1]. In this work, together with the later improved version [2], the drawbacks of the particle correction procedure in the original particle level set method were investigated in detail and an optimized particle correction procedure was developed to improve the accuracy and robustness of the implicitly represented moving interface. A refined grid point level set value selection process has been proposed and shown to effectively improve the interface location accuracy through a set of standard advection test cases when using a fast first order accurate semi-Lagrangian solver firstly proposed in [3]. With the implementation of our enhanced level set value selection procedure during the particle correction stage, it was observed that the particle reseeding was not required, which allowed for faster runtime performance of the fast particle level set method without compromising interface position accuracy.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">With the correction of the level set function by the use of Lagrangian maker particles, the particle level method has been proven to be an accurate and robust scheme to capture the evolution of moving interface [1]. In this work, together with the later improved version [2], the drawbacks of the particle correction procedure in the original particle level set method were investigated in detail and an optimized particle correction procedure was developed to improve the accuracy and robustness of the implicitly represented moving interface. A refined grid point level set value selection process has been proposed and shown to effectively improve the interface location accuracy through a set of standard advection test cases when using a fast first order accurate semi-Lagrangian solver firstly proposed in [3]. With the implementation of our enhanced level set value selection procedure during the particle correction stage, it was observed that the particle reseeding was not required, which allowed for faster runtime performance of the fast particle level set method without compromising interface position accuracy.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Corrected level set value</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Interface capturing</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Particle defined level set function</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Particle level set method</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Liu, Fengbin</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chen, Darong</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier</subfield><subfield code="a">Miranda, Regina ELSEVIER</subfield><subfield code="t">Future-oriented repetitive thought, depressive symptoms, and suicide ideation severity: Role of future-event fluency and depressive predictive certainty</subfield><subfield code="d">2023</subfield><subfield code="g">Amsterdam</subfield><subfield code="w">(DE-627)ELV010178430</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:299</subfield><subfield code="g">year:2015</subfield><subfield code="g">day:15</subfield><subfield code="g">month:10</subfield><subfield code="g">pages:804-819</subfield><subfield code="g">extent:16</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.jcp.2015.06.039</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_90</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">44.91</subfield><subfield code="j">Psychiatrie</subfield><subfield code="j">Psychopathologie</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">299</subfield><subfield code="j">2015</subfield><subfield code="b">15</subfield><subfield code="c">1015</subfield><subfield code="h">804-819</subfield><subfield code="g">16</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">530</subfield></datafield></record></collection>
|
score |
7.3986015 |