An introduction to continuous optimization: Foundations and fundamental algorithms
N. Andreasson,A. Evgrafov,M. Patriksson
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Andrew R. Conn,Katya Scheinberg,Luis N. Vicente
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The absence of derivatives, often combined with the presence of noise or lack of smoothness, is a major challenge for optimisation. This book explains how sampling and model techniques are used in derivative-free methods and how these methods are designed to efficiently and rigor
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The absence of derivatives, often combined with the presence of noise or lack of smoothness, is a major challenge for optimisation. 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 optimisation problems.
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