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Titlebook: Global Optimization; Deterministic Approa Reiner Horst,Hoang Tuy Book 19901st edition Springer-Verlag Berlin Heidelberg 1990 Decision Theor

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書目名稱Global Optimization
副標(biāo)題Deterministic Approa
編輯Reiner Horst,Hoang Tuy
視頻videohttp://file.papertrans.cn/387/386435/386435.mp4
圖書封面Titlebook: Global Optimization; Deterministic Approa Reiner Horst,Hoang Tuy Book 19901st edition Springer-Verlag Berlin Heidelberg 1990 Decision Theor
描述The enormous practical need for solving global optimization problems coupled with a rapidly advancing computer technology has allowed one to consider problems which a few years ago would have been considered computationally intractable. As a consequence, we are seeing the creation of a large and increasing number of diverse algorithms for solving a wide variety of multiextremal global optimization problems. The goal of this book is to systematically clarify and unify these diverse approaches in order to provide insight into the underlying concepts and their pro- perties. Aside from a coherent view of the field much new material is presented. By definition, a multiextremal global optimization problem seeks at least one global minimizer of a real-valued objective function that possesses different local n minimizers. The feasible set of points in IR is usually determined by a system of inequalities. It is well known that in practically all disciplines where mathematical models are used there are many real-world problems which can be formulated as multi extremal global optimization problems.
出版日期Book 19901st edition
關(guān)鍵詞Decision Theory; Entscheidungstheorie; Globale Optimierung; Mathematical Programming; Mathematische Prog
版次1
doihttps://doi.org/10.1007/978-3-662-02598-7
isbn_ebook978-3-662-02598-7
copyrightSpringer-Verlag Berlin Heidelberg 1990
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The distribution of ,, (chi squared),lems and even certain d.c. problems that involve functions whose d.c. representations are not known. Then we present branch and bound methods for the general d.c. program and a combination of outer approximations and branch and bound. Finally, the design centering problem and biconvex programming are discussed in some detail.
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Book 19901st editionproblems which a few years ago would have been considered computationally intractable. As a consequence, we are seeing the creation of a large and increasing number of diverse algorithms for solving a wide variety of multiextremal global optimization problems. The goal of this book is to systematica
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Charul Sharma,Priya Vrat Arya,Sohini Singh and also very general systems of equations and (or) inequalities can be solved by means of branch and bound techniques. As an example of Lipschitz optimization, the problem of minimizing a concave function subject to separable indefinite quadratic constraints is discussed in some detail.
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Lipschitz and Continuous Optimization and also very general systems of equations and (or) inequalities can be solved by means of branch and bound techniques. As an example of Lipschitz optimization, the problem of minimizing a concave function subject to separable indefinite quadratic constraints is discussed in some detail.
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