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Weak minimization and duality

 

作者: T. Weir,   B. Mond,   B. D. Craven,  

 

期刊: Numerical Functional Analysis and Optimization  (Taylor Available online 1987)
卷期: Volume 9, issue 1-2  

页码: 181-192

 

ISSN:0163-0563

 

年代: 1987

 

DOI:10.1080/01630568708816230

 

出版商: Marcel Dekker, Inc.

 

数据来源: Taylor

 

摘要:

Sufficient and necessary optimality conditions are given for weakly minimized optimization problems in terms of a vector valued Lagrangian. Lagrangian and Wolfe type duals are constructed and duality established using an ordering that accords with the definition of a weak minimum. The results for differentiable problems continue to hold under weakened convexity assumptions and for problems which quasiminimize rather than minimize.

 

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