Introduction to Derivative-Free Optimization Jim Leyland at home or in the

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Introduction to Derivative-Free Optimization Jim Leyland at home or in theThe absence of derivatives, often combined with the presence of noise or lack of smoothness, is a major challenge for optimization. This book explains how sampling and model techniques are used in derivative free methods and how these methods are designed to efficiently and rigorously solve optimization problems. Although readily accessible to readers with a modest background in computational mathematics, it is also intended to be of interest to