Sensitivity Analysis for Convex Multiobjective Programming in Abstract Spaces

The main object of this paper is to prove that for a linear or convex multiobjective program, a dual program can be obtained which gives the primal sensitivity without any special hypothesis about the way of choosing the optimal solution in the efficient set.

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Veröffentlicht in:Journal of mathematical analysis and applications Jg. 202; H. 2; S. 645 - 658
Hauptverfasser: Balbás, A., Guerra, P.Jiménez
Format: Journal Article
Sprache:Englisch
Veröffentlicht: San Diego, CA Elsevier Inc 01.09.1996
Elsevier
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ISSN:0022-247X, 1096-0813
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Abstract The main object of this paper is to prove that for a linear or convex multiobjective program, a dual program can be obtained which gives the primal sensitivity without any special hypothesis about the way of choosing the optimal solution in the efficient set.
AbstractList The main object of this paper is to prove that for a linear or convex multiobjective program, a dual program can be obtained which gives the primal sensitivity without any special hypothesis about the way of choosing the optimal solution in the efficient set.
Author Balbás, A.
Guerra, P.Jiménez
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  givenname: P.Jiménez
  surname: Guerra
  fullname: Guerra, P.Jiménez
  organization: Departamento de Matemáticas Fundamentales, Facultad de Ciencias, Universidad Nacional de Educación a Distancia, Senda del Rey, s/n. 28040, Madrid, Spain
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Issue 2
Keywords Sensitivity analysis
Convex programming
Optimal solution
Multiobjective programming
Language English
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Snippet The main object of this paper is to prove that for a linear or convex multiobjective program, a dual program can be obtained which gives the primal sensitivity...
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StartPage 645
SubjectTerms Applied sciences
Calculus of variations and optimal control
Exact sciences and technology
Mathematical analysis
Mathematical programming
Mathematics
Operational research and scientific management
Operational research. Management science
Sciences and techniques of general use
Title Sensitivity Analysis for Convex Multiobjective Programming in Abstract Spaces
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Volume 202
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