Optimization Theory and Methods
Publication year: 2006
ISBN: 978-0-387-24976-6
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It systematically describes optimization theory and several powerful methods, including recent results. For most methods, the authors discuss an idea’s motivation, study the derivation, establish the global and local convergence, describe algorithmic steps, and discuss the numerical performance. The book deals with both theory and algorithms of optimization concurrently.
Subject: Mathematics and Statistics, Quasi-Newton method, algorithms, computer-aided design (CAD), linear optimization, model, nonlinear optimization, optimization, programming, quadratic programming
