Can I read Lagrangian Duality and Saddle Point Optimality Conditions on EtoBox?

Lagrangian Duality and Saddle Point Optimality Conditions by Bazaraa, Mokhtar S.; Sherali, Hanif D.; Shetty, C. M. is a scholarly article available to read on EtoBox.

What is Lagrangian Duality and Saddle Point Optimality Conditions about?

COMPREHENSIVE COVERAGE OF NONLINEAR PROGRAMMING THEORY AND ALGORITHMS, THOROUGHLY REVISED AND EXPANDED Nonlinear Programming: Theory and Algorithms—now in an extensively updated Third Edition—addresses the problem of optimizing an objective function in the presence of equality and inequality constraints. Many realistic problems cannot be adequately represented as a linear program owing to the nature of the nonlinearity of the objective function and/or the nonlinearity of any constraints. The Third Edition begins with a general introduction to nonlinear programming with illustrative examples and guidelines for model construction. Concentration on the three major parts of nonlinear programming is provided: Convex analysis with discussion of topological properties of convex sets, separation and support of convex sets, polyhedral sets, extreme points and extreme directions of polyhedral sets, and linear programming Optimality conditions and duality with coverage of the nature, interpretation, and value of the classical Fritz John (FJ) and the Karush-Kuhn-Tucker (KKT) optimality conditions; the interrelationships between various proposed constraint qualifications; and Lagrangian duality

Author

Bazaraa, Mokhtar S.; Sherali, Hanif D.; Shetty, C. M.

Publisher

John Wiley & Sons, Incorporated

Published

2006

Language

EN

ISBN

9780471787761