Shashi Kant Mishra Livres

This is the first book to focus exclusively on pseudolinear functions, a class of generalized convex functions. The book discusses the properties, characterizations, and applications of pseudolinear functions in nonlinear optimization problems. It encompasses nearly all the published literature on the subject along with new results on semi-infinite nonlinear programming problems. The authors present optimality conditions and duality results for many types of optimization problems. They also extend pseudolinear functions to higher-level problems and explore applications to hospital management and economics. Inhaltsverzeichnis Introduction. Pseudolinear Functions: Characterizations and Properties. Constrained Pseudolinear Optimization Problems: Characterizations of Solution Sets. Constrained Pseudolinear Optimization Problems: Characterizations of Solutions Sets in Terms of Lagrange Multipliers. Pseudolinear Multiobjective Optimization. Nonsmooth Pseudolinear Multiobjective Optimization. Static Minimax Programming and Pseudolinear Functions. Nonsmooth Static Minimax Programming and Pseudolinear Functions. Nonsmooth Multiobjective Pseudolinear Programming: Optimality and Duality in Terms of Bifunctions. Pseudolinear Multiobjective Semi-Infinite Programming Problems. Vector Variational Inequality and Vector Pseudolinear Optimization Problems. Extension of Pseudolinear Functions and Variational Inequality Problems. Pseudolinear Functions: Characterizations and Properties of Solution Set. Smooth Pseudolinear Functions and Riemannian Manifolds. Pseudolinear Quadratic Fractional Functions. Pseudolinear Fuzzy Mapping. Pseudolinear Function and Its Applications.

Discusses the Kuhn-Tucker Optimality, Karush-Kuhn-Tucker Necessary and Sufficient Optimality Conditions in presence of various types of generalized convexity assumptions. This book also discusses Wolfe-type Duality, Mond-Weir type Duality, and Mixed type Duality for Multiobjective optimization problems such as Nonlinear programming problems.

Invexity and Optimization presents results on invex function and their properties in smooth and nonsmooth cases, pseudolinearity and eta-pseudolinearity. Results on optimality and duality for a nonlinear scalar programming problem are presented, second and higher order duality results are given for a nonlinear scalar programming problem, and saddle point results are also presented. Invexity in multiobjective programming problems and Kuhn-Tucker optimality conditions are given for a multiobjecive programming problem, Wolfe and Mond-Weir type dual models are given for a multiobjective programming problem and usual duality results are presented in presence of invex functions. Continuous-time multiobjective problems are also discussed. Quadratic and fractional programming problems are given for invex functions. Symmetric duality results are also given for scalar and vector cases.