This book can be a great asset for anyone interested in mathematical programming and solving complex problems. It covers a wide range of optimization techniques, from simple to complex, and also includes both unconstrained and constrained optimization methods. With its clear and easy-to-understand language, it can be an ideal choice for students and professionals alike. The revised edition also adds more value to the book, making it a must-read for those who want to excel in numerical optimization.

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Optimization is an important tool used in decision science and for the analysis of physical systems used in engineering. One can trace its roots to the Calculus of Variations and the work of Euler and Lagrange. This natural and reasonable approach to mathematical programming covers numerical methods for finite-dimensional optimization problems. It begins with very simple ideas progressing through more complicated concepts, concentrating on methods for both unconstrained and constrained optimization.

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