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Titlebook: Constrained Global Optimization: Algorithms and Applications; Panos M. Pardalos,J. Ben Rosen Book 1987 Springer-Verlag Berlin Heidelberg 1

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書(shū)目名稱Constrained Global Optimization: Algorithms and Applications
編輯Panos M. Pardalos,J. Ben Rosen
視頻videohttp://file.papertrans.cn/236/235915/235915.mp4
叢書(shū)名稱Lecture Notes in Computer Science
圖書(shū)封面Titlebook: Constrained Global Optimization: Algorithms and Applications;  Panos M. Pardalos,J. Ben Rosen Book 1987 Springer-Verlag Berlin Heidelberg 1
描述Global optimization is concerned with the characterization and computation of global minima or maxima of nonlinear functions. Such problems are widespread in mathematical modeling of real world systems for a very broad range of applications. The applications include economies of scale, fixed charges, allocation and location problems, quadratic assignment and a number of other combinatorial optimization problems. More recently it has been shown that certain aspects of VLSI chip design and database problems can be formulated as constrained global optimization problems with a quadratic objective function. Although standard nonlinear programming algorithms will usually obtain a local minimum to the problem , such a local minimum will only be global when certain conditions are satisfied (such as .f. and .K. being convex).
出版日期Book 1987
關(guān)鍵詞Finite; algorithms; character; computation; database; design; form; function; global optimization; linear opt
版次1
doihttps://doi.org/10.1007/BFb0000035
isbn_softcover978-3-540-18095-1
isbn_ebook978-3-540-47755-6Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 1987
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Book 1987read in mathematical modeling of real world systems for a very broad range of applications. The applications include economies of scale, fixed charges, allocation and location problems, quadratic assignment and a number of other combinatorial optimization problems. More recently it has been shown th
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https://doi.org/10.1007/BFb0000035Finite; algorithms; character; computation; database; design; form; function; global optimization; linear opt
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Combinatorial optimization problems that can be formulated as nonconvex quadratic problems,
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