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Non-linear Programming By M. S. Bazaraa

Non-linear Programming
by M. S. Bazaraa

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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.
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Non-linear Programming Summary

Non-linear Programming: Theory and Algorithms by M. S. Bazaraa

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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

Non-linear Programming: Theory and Algorithms by M. S. Bazaraa
M. S. Bazaraa
Used - Very Good
John Wiley and Sons Ltd
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
This is a used book - there is no escaping the fact it has been read by someone else and it will show signs of wear and previous use. Overall we expect it to be in very good condition, but if you are not entirely satisfied please get in touch with us.