Constrained ∈-Vector Valued Games and Generalized Multi-Valued ∈-Minmax, ∈-Maxmin Programming
Abstract In the present work we have studied the relationship between ∈-equili-brium point of a vector valued game and a ∈-saddle point of associated multiobjective programming problem. In the analysis, which follows, the technique of Liu for treating ∈-Pareto optimality for multiobjective programmi...
Ausführliche Beschreibung
Autor*in: |
Reddy, L. V. [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
1999 |
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Anmerkung: |
© Operational Research Society of India 1999 |
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Übergeordnetes Werk: |
Enthalten in: Opsearch - New Delhi : Springer India, 1997, 36(1999), 2 vom: Juni, Seite 124-136 |
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Übergeordnetes Werk: |
volume:36 ; year:1999 ; number:2 ; month:06 ; pages:124-136 |
Links: |
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DOI / URN: |
10.1007/BF03398568 |
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Katalog-ID: |
SPR026235757 |
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100 | 1 | |a Reddy, L. V. |e verfasserin |4 aut | |
245 | 1 | 0 | |a Constrained ∈-Vector Valued Games and Generalized Multi-Valued ∈-Minmax, ∈-Maxmin Programming |
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520 | |a Abstract In the present work we have studied the relationship between ∈-equili-brium point of a vector valued game and a ∈-saddle point of associated multiobjective programming problem. In the analysis, which follows, the technique of Liu for treating ∈-Pareto optimality for multiobjective programming problems has been exploited. The results obtained extend the work of Singh and Rueda in the context of vector-valued games. | ||
700 | 1 | |a Mukerjee, R. N. |4 aut | |
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1999 |
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1999 |
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10.1007/BF03398568 doi (DE-627)SPR026235757 (SPR)BF03398568-e DE-627 ger DE-627 rakwb eng Reddy, L. V. verfasserin aut Constrained ∈-Vector Valued Games and Generalized Multi-Valued ∈-Minmax, ∈-Maxmin Programming 1999 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Operational Research Society of India 1999 Abstract In the present work we have studied the relationship between ∈-equili-brium point of a vector valued game and a ∈-saddle point of associated multiobjective programming problem. In the analysis, which follows, the technique of Liu for treating ∈-Pareto optimality for multiobjective programming problems has been exploited. The results obtained extend the work of Singh and Rueda in the context of vector-valued games. Mukerjee, R. N. aut Enthalten in Opsearch New Delhi : Springer India, 1997 36(1999), 2 vom: Juni, Seite 124-136 (DE-627)609775766 (DE-600)2516085-0 0975-0320 nnns volume:36 year:1999 number:2 month:06 pages:124-136 https://dx.doi.org/10.1007/BF03398568 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 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_2008 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_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_2118 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 36 1999 2 06 124-136 |
spelling |
10.1007/BF03398568 doi (DE-627)SPR026235757 (SPR)BF03398568-e DE-627 ger DE-627 rakwb eng Reddy, L. V. verfasserin aut Constrained ∈-Vector Valued Games and Generalized Multi-Valued ∈-Minmax, ∈-Maxmin Programming 1999 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Operational Research Society of India 1999 Abstract In the present work we have studied the relationship between ∈-equili-brium point of a vector valued game and a ∈-saddle point of associated multiobjective programming problem. In the analysis, which follows, the technique of Liu for treating ∈-Pareto optimality for multiobjective programming problems has been exploited. The results obtained extend the work of Singh and Rueda in the context of vector-valued games. Mukerjee, R. N. aut Enthalten in Opsearch New Delhi : Springer India, 1997 36(1999), 2 vom: Juni, Seite 124-136 (DE-627)609775766 (DE-600)2516085-0 0975-0320 nnns volume:36 year:1999 number:2 month:06 pages:124-136 https://dx.doi.org/10.1007/BF03398568 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 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_2008 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_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_2118 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 36 1999 2 06 124-136 |
allfields_unstemmed |
10.1007/BF03398568 doi (DE-627)SPR026235757 (SPR)BF03398568-e DE-627 ger DE-627 rakwb eng Reddy, L. V. verfasserin aut Constrained ∈-Vector Valued Games and Generalized Multi-Valued ∈-Minmax, ∈-Maxmin Programming 1999 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Operational Research Society of India 1999 Abstract In the present work we have studied the relationship between ∈-equili-brium point of a vector valued game and a ∈-saddle point of associated multiobjective programming problem. In the analysis, which follows, the technique of Liu for treating ∈-Pareto optimality for multiobjective programming problems has been exploited. The results obtained extend the work of Singh and Rueda in the context of vector-valued games. Mukerjee, R. N. aut Enthalten in Opsearch New Delhi : Springer India, 1997 36(1999), 2 vom: Juni, Seite 124-136 (DE-627)609775766 (DE-600)2516085-0 0975-0320 nnns volume:36 year:1999 number:2 month:06 pages:124-136 https://dx.doi.org/10.1007/BF03398568 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER 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_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 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_2008 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_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_2118 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_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_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 36 1999 2 06 124-136 |
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Reddy, L. V. Constrained ∈-Vector Valued Games and Generalized Multi-Valued ∈-Minmax, ∈-Maxmin Programming |
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constrained ∈-vector valued games and generalized multi-valued ∈-minmax, ∈-maxmin programming |
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Constrained ∈-Vector Valued Games and Generalized Multi-Valued ∈-Minmax, ∈-Maxmin Programming |
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Abstract In the present work we have studied the relationship between ∈-equili-brium point of a vector valued game and a ∈-saddle point of associated multiobjective programming problem. In the analysis, which follows, the technique of Liu for treating ∈-Pareto optimality for multiobjective programming problems has been exploited. The results obtained extend the work of Singh and Rueda in the context of vector-valued games. © Operational Research Society of India 1999 |
abstractGer |
Abstract In the present work we have studied the relationship between ∈-equili-brium point of a vector valued game and a ∈-saddle point of associated multiobjective programming problem. In the analysis, which follows, the technique of Liu for treating ∈-Pareto optimality for multiobjective programming problems has been exploited. The results obtained extend the work of Singh and Rueda in the context of vector-valued games. © Operational Research Society of India 1999 |
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Abstract In the present work we have studied the relationship between ∈-equili-brium point of a vector valued game and a ∈-saddle point of associated multiobjective programming problem. In the analysis, which follows, the technique of Liu for treating ∈-Pareto optimality for multiobjective programming problems has been exploited. The results obtained extend the work of Singh and Rueda in the context of vector-valued games. © Operational Research Society of India 1999 |
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Constrained ∈-Vector Valued Games and Generalized Multi-Valued ∈-Minmax, ∈-Maxmin Programming |
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score |
7.3990545 |