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Introduction To Derivative-Free Optimization

Introduction To Derivative-Free Optimization

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  • ISBN:9780898716689
  • Editorial: Cambridge University Press
  • Fecha de la edición:
  • Encuadernación:Rústica
  • Dimensiones: 0 cm x 0 cm
  • Nº Pág.:295
  • Idiomas:Ingles,Inglés

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The 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 researchers in the field. Introduction to Derivative-Free Optimization is the first contemporary comprehensive treatment of optimization without derivatives. This book covers most of the relevant classes of algorithms from direct search to model-based approaches. It contains a comprehensive description of the sampling and modeling tools needed for derivative-free optimization; these tools allow the reader to better analyze the convergent properties of the algorithms and identify their differences and similarities.

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