Generic constructions for partitioned difference families with applications: a unified combinatorial approach
Abstract Partitioned difference families are an interesting class of discrete structures which can be used to derive optimal constant composition codes. There have been intensive researches on the construction of partitioned difference families. In this paper, we consider the combinatorial approach....
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Li, Shuxing [verfasserIn] Wei, Hengjia [verfasserIn] Ge, Gennian [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
Partitioned difference families |
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| Übergeordnetes Werk: |
Enthalten in: Designs, codes and cryptography - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1991, 82(2016), 3 vom: 30. Jan., Seite 583-599 |
|---|---|
| Übergeordnetes Werk: |
volume:82 ; year:2016 ; number:3 ; day:30 ; month:01 ; pages:583-599 |
| Links: |
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| DOI / URN: |
10.1007/s10623-016-0182-y |
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| Katalog-ID: |
SPR011917520 |
|---|
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| 245 | 1 | 0 | |a Generic constructions for partitioned difference families with applications: a unified combinatorial approach |
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| 520 | |a Abstract Partitioned difference families are an interesting class of discrete structures which can be used to derive optimal constant composition codes. There have been intensive researches on the construction of partitioned difference families. In this paper, we consider the combinatorial approach. We introduce a new combinatorial configuration named partitioned relative difference family, which proves to be very powerful in the construction of partitioned difference families. In particular, we present two general recursive constructions, which not only include some existing constructions as special cases, but also generate many new series of partitioned difference families. As an application, we use these partitioned difference families to construct several new classes of optimal constant composition codes. | ||
| 650 | 4 | |a Partitioned difference families |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Partitioned relative difference families |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Difference matrices |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Recursive constructions |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Constant composition codes |7 (dpeaa)DE-He213 | |
| 700 | 1 | |a Wei, Hengjia |e verfasserin |4 aut | |
| 700 | 1 | |a Ge, Gennian |e verfasserin |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t Designs, codes and cryptography |d Dordrecht [u.a.] : Springer Science + Business Media B.V, 1991 |g 82(2016), 3 vom: 30. Jan., Seite 583-599 |w (DE-627)271350024 |w (DE-600)1479896-7 |x 1573-7586 |7 nnns |
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| 856 | 4 | 0 | |u https://dx.doi.org/10.1007/s10623-016-0182-y |z lizenzpflichtig |3 Volltext |
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10.1007/s10623-016-0182-y doi (DE-627)SPR011917520 (SPR)s10623-016-0182-y-e DE-627 ger DE-627 rakwb eng 004 ASE 31.12 bkl 31.20 bkl 54.62 bkl Li, Shuxing verfasserin aut Generic constructions for partitioned difference families with applications: a unified combinatorial approach 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Partitioned difference families are an interesting class of discrete structures which can be used to derive optimal constant composition codes. There have been intensive researches on the construction of partitioned difference families. In this paper, we consider the combinatorial approach. We introduce a new combinatorial configuration named partitioned relative difference family, which proves to be very powerful in the construction of partitioned difference families. In particular, we present two general recursive constructions, which not only include some existing constructions as special cases, but also generate many new series of partitioned difference families. As an application, we use these partitioned difference families to construct several new classes of optimal constant composition codes. Partitioned difference families (dpeaa)DE-He213 Partitioned relative difference families (dpeaa)DE-He213 Difference matrices (dpeaa)DE-He213 Recursive constructions (dpeaa)DE-He213 Constant composition codes (dpeaa)DE-He213 Wei, Hengjia verfasserin aut Ge, Gennian verfasserin aut Enthalten in Designs, codes and cryptography Dordrecht [u.a.] : Springer Science + Business Media B.V, 1991 82(2016), 3 vom: 30. Jan., Seite 583-599 (DE-627)271350024 (DE-600)1479896-7 1573-7586 nnns volume:82 year:2016 number:3 day:30 month:01 pages:583-599 https://dx.doi.org/10.1007/s10623-016-0182-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.12 ASE 31.20 ASE 54.62 ASE AR 82 2016 3 30 01 583-599 |
| spelling |
10.1007/s10623-016-0182-y doi (DE-627)SPR011917520 (SPR)s10623-016-0182-y-e DE-627 ger DE-627 rakwb eng 004 ASE 31.12 bkl 31.20 bkl 54.62 bkl Li, Shuxing verfasserin aut Generic constructions for partitioned difference families with applications: a unified combinatorial approach 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Partitioned difference families are an interesting class of discrete structures which can be used to derive optimal constant composition codes. There have been intensive researches on the construction of partitioned difference families. In this paper, we consider the combinatorial approach. We introduce a new combinatorial configuration named partitioned relative difference family, which proves to be very powerful in the construction of partitioned difference families. In particular, we present two general recursive constructions, which not only include some existing constructions as special cases, but also generate many new series of partitioned difference families. As an application, we use these partitioned difference families to construct several new classes of optimal constant composition codes. Partitioned difference families (dpeaa)DE-He213 Partitioned relative difference families (dpeaa)DE-He213 Difference matrices (dpeaa)DE-He213 Recursive constructions (dpeaa)DE-He213 Constant composition codes (dpeaa)DE-He213 Wei, Hengjia verfasserin aut Ge, Gennian verfasserin aut Enthalten in Designs, codes and cryptography Dordrecht [u.a.] : Springer Science + Business Media B.V, 1991 82(2016), 3 vom: 30. Jan., Seite 583-599 (DE-627)271350024 (DE-600)1479896-7 1573-7586 nnns volume:82 year:2016 number:3 day:30 month:01 pages:583-599 https://dx.doi.org/10.1007/s10623-016-0182-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.12 ASE 31.20 ASE 54.62 ASE AR 82 2016 3 30 01 583-599 |
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10.1007/s10623-016-0182-y doi (DE-627)SPR011917520 (SPR)s10623-016-0182-y-e DE-627 ger DE-627 rakwb eng 004 ASE 31.12 bkl 31.20 bkl 54.62 bkl Li, Shuxing verfasserin aut Generic constructions for partitioned difference families with applications: a unified combinatorial approach 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Partitioned difference families are an interesting class of discrete structures which can be used to derive optimal constant composition codes. There have been intensive researches on the construction of partitioned difference families. In this paper, we consider the combinatorial approach. We introduce a new combinatorial configuration named partitioned relative difference family, which proves to be very powerful in the construction of partitioned difference families. In particular, we present two general recursive constructions, which not only include some existing constructions as special cases, but also generate many new series of partitioned difference families. As an application, we use these partitioned difference families to construct several new classes of optimal constant composition codes. Partitioned difference families (dpeaa)DE-He213 Partitioned relative difference families (dpeaa)DE-He213 Difference matrices (dpeaa)DE-He213 Recursive constructions (dpeaa)DE-He213 Constant composition codes (dpeaa)DE-He213 Wei, Hengjia verfasserin aut Ge, Gennian verfasserin aut Enthalten in Designs, codes and cryptography Dordrecht [u.a.] : Springer Science + Business Media B.V, 1991 82(2016), 3 vom: 30. Jan., Seite 583-599 (DE-627)271350024 (DE-600)1479896-7 1573-7586 nnns volume:82 year:2016 number:3 day:30 month:01 pages:583-599 https://dx.doi.org/10.1007/s10623-016-0182-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.12 ASE 31.20 ASE 54.62 ASE AR 82 2016 3 30 01 583-599 |
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10.1007/s10623-016-0182-y doi (DE-627)SPR011917520 (SPR)s10623-016-0182-y-e DE-627 ger DE-627 rakwb eng 004 ASE 31.12 bkl 31.20 bkl 54.62 bkl Li, Shuxing verfasserin aut Generic constructions for partitioned difference families with applications: a unified combinatorial approach 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Partitioned difference families are an interesting class of discrete structures which can be used to derive optimal constant composition codes. There have been intensive researches on the construction of partitioned difference families. In this paper, we consider the combinatorial approach. We introduce a new combinatorial configuration named partitioned relative difference family, which proves to be very powerful in the construction of partitioned difference families. In particular, we present two general recursive constructions, which not only include some existing constructions as special cases, but also generate many new series of partitioned difference families. As an application, we use these partitioned difference families to construct several new classes of optimal constant composition codes. Partitioned difference families (dpeaa)DE-He213 Partitioned relative difference families (dpeaa)DE-He213 Difference matrices (dpeaa)DE-He213 Recursive constructions (dpeaa)DE-He213 Constant composition codes (dpeaa)DE-He213 Wei, Hengjia verfasserin aut Ge, Gennian verfasserin aut Enthalten in Designs, codes and cryptography Dordrecht [u.a.] : Springer Science + Business Media B.V, 1991 82(2016), 3 vom: 30. Jan., Seite 583-599 (DE-627)271350024 (DE-600)1479896-7 1573-7586 nnns volume:82 year:2016 number:3 day:30 month:01 pages:583-599 https://dx.doi.org/10.1007/s10623-016-0182-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.12 ASE 31.20 ASE 54.62 ASE AR 82 2016 3 30 01 583-599 |
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10.1007/s10623-016-0182-y doi (DE-627)SPR011917520 (SPR)s10623-016-0182-y-e DE-627 ger DE-627 rakwb eng 004 ASE 31.12 bkl 31.20 bkl 54.62 bkl Li, Shuxing verfasserin aut Generic constructions for partitioned difference families with applications: a unified combinatorial approach 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Partitioned difference families are an interesting class of discrete structures which can be used to derive optimal constant composition codes. There have been intensive researches on the construction of partitioned difference families. In this paper, we consider the combinatorial approach. We introduce a new combinatorial configuration named partitioned relative difference family, which proves to be very powerful in the construction of partitioned difference families. In particular, we present two general recursive constructions, which not only include some existing constructions as special cases, but also generate many new series of partitioned difference families. As an application, we use these partitioned difference families to construct several new classes of optimal constant composition codes. Partitioned difference families (dpeaa)DE-He213 Partitioned relative difference families (dpeaa)DE-He213 Difference matrices (dpeaa)DE-He213 Recursive constructions (dpeaa)DE-He213 Constant composition codes (dpeaa)DE-He213 Wei, Hengjia verfasserin aut Ge, Gennian verfasserin aut Enthalten in Designs, codes and cryptography Dordrecht [u.a.] : Springer Science + Business Media B.V, 1991 82(2016), 3 vom: 30. Jan., Seite 583-599 (DE-627)271350024 (DE-600)1479896-7 1573-7586 nnns volume:82 year:2016 number:3 day:30 month:01 pages:583-599 https://dx.doi.org/10.1007/s10623-016-0182-y lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OPC-MAT SSG-OPC-ASE GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 31.12 ASE 31.20 ASE 54.62 ASE AR 82 2016 3 30 01 583-599 |
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Li, Shuxing |
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Li, Shuxing ddc 004 bkl 31.12 bkl 31.20 bkl 54.62 misc Partitioned difference families misc Partitioned relative difference families misc Difference matrices misc Recursive constructions misc Constant composition codes Generic constructions for partitioned difference families with applications: a unified combinatorial approach |
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004 ASE 31.12 bkl 31.20 bkl 54.62 bkl Generic constructions for partitioned difference families with applications: a unified combinatorial approach Partitioned difference families (dpeaa)DE-He213 Partitioned relative difference families (dpeaa)DE-He213 Difference matrices (dpeaa)DE-He213 Recursive constructions (dpeaa)DE-He213 Constant composition codes (dpeaa)DE-He213 |
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ddc 004 bkl 31.12 bkl 31.20 bkl 54.62 misc Partitioned difference families misc Partitioned relative difference families misc Difference matrices misc Recursive constructions misc Constant composition codes |
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ddc 004 bkl 31.12 bkl 31.20 bkl 54.62 misc Partitioned difference families misc Partitioned relative difference families misc Difference matrices misc Recursive constructions misc Constant composition codes |
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ddc 004 bkl 31.12 bkl 31.20 bkl 54.62 misc Partitioned difference families misc Partitioned relative difference families misc Difference matrices misc Recursive constructions misc Constant composition codes |
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Generic constructions for partitioned difference families with applications: a unified combinatorial approach |
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Designs, codes and cryptography |
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generic constructions for partitioned difference families with applications: a unified combinatorial approach |
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Generic constructions for partitioned difference families with applications: a unified combinatorial approach |
| abstract |
Abstract Partitioned difference families are an interesting class of discrete structures which can be used to derive optimal constant composition codes. There have been intensive researches on the construction of partitioned difference families. In this paper, we consider the combinatorial approach. We introduce a new combinatorial configuration named partitioned relative difference family, which proves to be very powerful in the construction of partitioned difference families. In particular, we present two general recursive constructions, which not only include some existing constructions as special cases, but also generate many new series of partitioned difference families. As an application, we use these partitioned difference families to construct several new classes of optimal constant composition codes. |
| abstractGer |
Abstract Partitioned difference families are an interesting class of discrete structures which can be used to derive optimal constant composition codes. There have been intensive researches on the construction of partitioned difference families. In this paper, we consider the combinatorial approach. We introduce a new combinatorial configuration named partitioned relative difference family, which proves to be very powerful in the construction of partitioned difference families. In particular, we present two general recursive constructions, which not only include some existing constructions as special cases, but also generate many new series of partitioned difference families. As an application, we use these partitioned difference families to construct several new classes of optimal constant composition codes. |
| abstract_unstemmed |
Abstract Partitioned difference families are an interesting class of discrete structures which can be used to derive optimal constant composition codes. There have been intensive researches on the construction of partitioned difference families. In this paper, we consider the combinatorial approach. We introduce a new combinatorial configuration named partitioned relative difference family, which proves to be very powerful in the construction of partitioned difference families. In particular, we present two general recursive constructions, which not only include some existing constructions as special cases, but also generate many new series of partitioned difference families. As an application, we use these partitioned difference families to construct several new classes of optimal constant composition codes. |
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Generic constructions for partitioned difference families with applications: a unified combinatorial approach |
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https://dx.doi.org/10.1007/s10623-016-0182-y |
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Wei, Hengjia Ge, Gennian |
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Wei, Hengjia Ge, Gennian |
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| doi_str |
10.1007/s10623-016-0182-y |
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2024-07-04T01:00:59.581Z |
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| score |
7.3985195 |