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Titlebook: Numerical Analysis and Optimization; NAO-IV, Muscat, Oman Mehiddin Al-Baali,Lucio Grandinetti,Anton Purnama Conference proceedings 2018 Spr

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书目名称Numerical Analysis and Optimization
副标题NAO-IV, Muscat, Oman
编辑Mehiddin Al-Baali,Lucio Grandinetti,Anton Purnama
视频video
丛书名称Springer Proceedings in Mathematics & Statistics
图书封面Titlebook: Numerical Analysis and Optimization; NAO-IV, Muscat, Oman Mehiddin Al-Baali,Lucio Grandinetti,Anton Purnama Conference proceedings 2018 Spr
描述.This volume contains 13 selected keynote papers presented at the Fourth International Conference on Numerical Analysis and Optimization. Held every three years at Sultan Qaboos University in Muscat, Oman, this conference highlights novel and advanced applications of recent research in numerical analysis and optimization. Each peer-reviewed chapter featured in this book reports on developments in key fields, such as numerical analysis, numerical optimization, numerical linear algebra, numerical differential equations, optimal control, approximation theory, applied mathematics, derivative-free optimization methods, programming models, and challenging applications that frequently arise in statistics, econometrics, finance, physics, medicine, biology, engineering and industry. Any graduate student or researched wishing to know the latest research in the field will be interested in this volume..This book is dedicated to the late Professors Mike JD Powell and Roger Fletcher, who werethe pioneers and leading figures in the mathematics of nonlinear optimization..
出版日期Conference proceedings 2018
关键词Numerical Analysis; Mathematical Optimization; Quasi-Newton Methods; Numerical Linear Algebra; Control T
版次1
doihttps://doi.org/10.1007/978-3-319-90026-1
isbn_softcover978-3-030-07918-5
isbn_ebook978-3-319-90026-1Series ISSN 2194-1009 Series E-ISSN 2194-1017
issn_series 2194-1009
copyrightSpringer International Publishing AG, part of Springer Nature 2018
The information of publication is updating

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https://doi.org/10.1007/978-3-319-90026-1Numerical Analysis; Mathematical Optimization; Quasi-Newton Methods; Numerical Linear Algebra; Control T
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A Competitive Error in Variables Approach and Algorithms for Finding Positive Definite Solutions of target matrices are rank deficient. Here, after giving a detailed review of the proposed algorithms, we rewrite the algorithms by use of the Householder tridiagonalization instead of spectral decomposition. We then show that in case of full rank data and target matrices, the Householder tridiagonal
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Sparse Direct Solution on Parallel Computers,ompare these implementations to ., a state-of-the-art DAG-based solver for positive definite systems. We demonstrate comparable performance on a multicore architecture. We also consider the case when the matrix is symmetric indefinite. For highly unsymmetric systems, we use a completely different ap
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Revisiting Expression Representations for Nonlinear AMPL Models,re some expression-graph representations for use in computing function, gradient, and Hessian values, and for extracting some auxiliary problem information. In particular, we describe some details of an updated AMPL/solver interface library that uses operation lists to represent expressions.
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