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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"The promotional message on the back cover proclaims ′this book is a solid reference for professionals and a useful text for students..."; and I fully agree." ( Technometrics, February 2007)
"Noted and recommended for its logical format and sharp editing that never wavers in its focus." (Electric Review, September/October 2006)
"...highly recommended for a course in the theory of nonlinear programming..." (MAA Reviews, July 17, 2006)
‘... ‘the Bazaraa’ is a must if you are interested in optimization...’ (Journal of the Operational Research Society, 2007)
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:
Important features of the Third Edition include:
The book is a solid reference for professionals as well as a useful text for students in the fields of operations research, management science, industrial engineering, applied mathematics, and also in engineering disciplines that deal with analytical optimization techniques. The logical and self–contained format uniquely covers nonlinear programming techniques with a great depth of information and an abundance of valuable examples and illustrations that showcase the most current advances in nonlinear problems.
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