A note on book covers: while we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.
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.
A note on book covers: while we do our best to ensure the accuracy of cover images, ISBNs may at times be reused for different editions of the same title which may hence appear as a different cover.
Practical guide for complex decision and engineering problems.
Who is this book for?
If you're interested in the mathematical tools behind decision making and engineering designs, this book offers a clear journey through numerical optimization. It balances foundational ideas with more advanced techniques, making it a good pick whether you're newer to the field or looking to deepen your understanding. You’ll find it particularly helpful if practical, step-by-step methods are what you’re after.
