Optimization: Theory and Practice

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Alpha Science Int'l Ltd., 2004 - Computers - 325 pages
Optimization: Theory and Practice is ideally suited for a first course on optimization. It gives a detailed mathematical exposition to various optimization techniques. The presentation style retains abstract flavor of the mathematical framework as well as applicability potential of techniques, thereby making the text useful to both scientists and engineers.
 

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Algorithm 2.3.1 on p. 77 has several bugs. I had to correct the decision block and the convergence test to get it to work correctly. If contacted, I can email the corrections to the authors.

Contents

Mathematical Preliminaries
1
OneDimensional Optimization
49
Unconstrained Gradient Based Optimization Methods
95
Linear Programming
174
Constrained Optimization Methods
238
Evolutionary Algorithms
300
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