Nonlinear programming : theory and algorithms

Authors:Mokhtar S. Bazaraa, Hanif D. Sherali, C. M. Shetty

Summary:This updated textbook offers an overview of convex analysis, the foundations of optimization and computational methods. It emphasizes the implementation of numerical methods and focuses on the concept of error and the need to analyze and predict it.

Edition:2nd ed View all formats and editions

Series:

Wiley-Interscience series in discrete mathematics and optimization

Target Audience:Pregrado

Physical Description:xiii, 638 p. : il. ; 26 cm

ISBN:

9780471599739, 9780471557937, 0471599735, 0471557935

OCLC Number / Unique Identifier:318224426

Subjects:

Algoritmos

Noa, Pedro A

Perea, Jaime

Programacion no-lineal

Programación lineal

Programación no lineal

Russell, Sandra

Contents:

CONVEX ANALYSIS. Convex Sets. Convex Functions and Generalizations. OPTIMALITY CONDITIONS AND DUALITY. The Fritz John and the Karush-Kuhn-Tucker Optimality Conditions. Constraint Qualifications. Lagrangian Duality and Saddle Point Optimality Conditions. ALGORITHMS AND THEIR CONVERGENCE. The Concept of an Algorithm. Unconstrained Optimization. Penalty and Barrier Functions. Methods of Feasible Directions. Linear Complementary Problem, and Quadratic, Separable, Fractional, and Geometric Programming. Appendices. Bibliography. Index.