Non-linear Programming: Theory and Algorithms by M. S. Bazaraa
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Non-linear Programming
Non-linear Programming
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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.
Non-linear Programming Summary
Table of 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.
Additional information
GOR010844377
9780471557937
0471557935
Non-linear Programming: Theory and Algorithms by M. S. Bazaraa
Used - Good
Hardback
John Wiley and Sons Ltd
19930118
656
N/A
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