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Titlebook: Practical Mathematical Optimization; Basic Optimization T Jan A Snyman,Daniel N Wilke Textbook 2018Latest edition Springer International Pu

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书目名称Practical Mathematical Optimization
副标题Basic Optimization T
编辑Jan A Snyman,Daniel N Wilke
视频video
概述Guides readers to understand processes and strategies in real world optimization problems.Contains new material on gradient-based methods, algorithm implementation via Python, and basic optimization p
丛书名称Springer Optimization and Its Applications
图书封面Titlebook: Practical Mathematical Optimization; Basic Optimization T Jan A Snyman,Daniel N Wilke Textbook 2018Latest edition Springer International Pu
描述.This textbook presents a wide range of tools for a course in mathematical optimization for upper undergraduate and graduate students in mathematics, engineering, computer science, and other applied sciences.  Basic optimization principles are presented with emphasis on gradient-based numerical optimization strategies and algorithms for solving both smooth and noisy discontinuous optimization problems. Attention is also paid to the difficulties of expense of function evaluations and the existence of multiple minima that often unnecessarily inhibit the use of gradient-based methods. This second edition addresses further advancements of gradient-only optimization strategies to handle discontinuities in objective functions. New chapters discuss the construction of surrogate models as well as new gradient-only solution strategies and numerical optimization using Python. A special Python module is electronically available (via springerlink) that makes the new algorithms featured in the text easily accessible and directly applicable. Numerical examples and exercises are included to encourage senior- to graduate-level students to plan, execute, and reflect on numerical investigations. By
出版日期Textbook 2018Latest edition
关键词Mathematica; algorithms; linear optimization; optimization; programming; Python; multi-modal optimization;
版次2
doihttps://doi.org/10.1007/978-3-319-77586-9
isbn_softcover978-3-030-08486-8
isbn_ebook978-3-319-77586-9Series ISSN 1931-6828 Series E-ISSN 1931-6836
issn_series 1931-6828
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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