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Stable Parametric Programming
Sanjo Zlobec
€ 128.27
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Description for Stable Parametric Programming
Paperback. Series: Applied Optimization. Num Pages: 344 pages, biography. BIC Classification: KCA; KJT; PBU; THR. Category: (P) Professional & Vocational. Dimension: 235 x 155 x 18. Weight in Grams: 534.
Optimality and stability are two important notions in applied mathematics. This book is a study of these notions and their relationship in linear and convex parametric programming models. It begins with a survey of basic optimality conditions in nonlinear programming. Then new results in convex programming, using LFS functions, for single-objective, multi-objective, differentiable and non-smooth programs are introduced. Parametric programming models are studied using basic tools of point-to-set topology. Stability of the models is introduced, essentially, as continuity of the feasible set of decision variables under continuous perturbations of the ... Read more
Optimality and stability are two important notions in applied mathematics. This book is a study of these notions and their relationship in linear and convex parametric programming models. It begins with a survey of basic optimality conditions in nonlinear programming. Then new results in convex programming, using LFS functions, for single-objective, multi-objective, differentiable and non-smooth programs are introduced. Parametric programming models are studied using basic tools of point-to-set topology. Stability of the models is introduced, essentially, as continuity of the feasible set of decision variables under continuous perturbations of the ... Read more
Product Details
Format
Paperback
Publication date
2013
Publisher
Springer-Verlag New York Inc. United States
Number of pages
344
Condition
New
Series
Applied Optimization
Number of Pages
322
Place of Publication
New York, NY, United States
ISBN
9781461348856
SKU
V9781461348856
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
Reviews for Stable Parametric Programming
'The book would be of great interest to both graduate students and researchers who are concerned with optimization problems.' Zentalblatt MATH, 986 (2002)