On Optimality and Duality Theory for Optimization Problems

By Kumar Rahul

dual model corresponding to given primal problems and some duality results were

piled up in Section 1.4. In Section 1.5, we recall standard minimax programming

problem and present a small overview on the same. In Section 1.6, we introduce a

short note on saddle point optimality problems. In Section 1.7, we present basic concept

of multiobjective optimization problems and its solutions. Section 1.8 recalls

constraint qualification in multiobjective optimization problems. In Section 1.9,

scalar and multiobjective semi-infinite optimization problems is introduced. In Section

1.10, we remind definitions of Lipschitz and locally Lipschitz continuity. Section

1.11 presents definition, basic properties of convexificators and recalls generalized

convexity in terms of convexificators. Sections 1.12 is all about brief literature on

semidefinite programming problem and related concepts for further use. Section

1.13 presents short introduction on vector variational inequality. Finally, Section

1.14 includes basic details of mathematical programming with vanishing constraints

and its literature.

• Format: Paperback
• Language: English
• ISBN: 1805247565
• ISBN13: 9781805247562
• Release Date: March 2023
• Publisher: Independent Author
• Length: 116 Pages
• Weight: 0.40 lbs.
• Dimensions: 0.3" x 6.0" x 9.0"