G2TT
来源类型Book Section
DOI10.1007/BFb0121046
An efficient algorithm for minimizing a multivariate polyhedral function along a line.
Nazareth JL
发表日期1985
出处Mathematical Programming Essays in Honor of George B. Dantzig Part I. pp. 116-125 Berlin/Heidelberg, Germany: Springer. ISBN 978-3-642-00919-8 DOI: 10.1007/BFb0121046 .
出版年1985
语种英语
摘要We consider the problem of finding a minimum along a given direction d∈ℝ m , of a separable function ά(χ)=Σ l=1 m ψ l (χ l ). Each component ψ l (χ l ) is a piecewise-linear convex function expressed in slope-intercept form. To solve this problem we propose a specialized version of the generalized upper bounding (GUB) algorithm of Dantzig and Van Slyke. Each step of the simplex cycle is explicitly expressed as a simple algebraic formula and basis matrix operations are completely eliminated. This results in a concise, elegant and efficient algorithm.
关键词Piecewise-Linear Minimization Line Search Polyhedral Functions Nonsmooth Minimization Specialized GUB
URLhttp://pure.iiasa.ac.at/id/eprint/12147/
来源智库International Institute for Applied Systems Analysis (Austria)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/133037
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GB/T 7714
Nazareth JL. An efficient algorithm for minimizing a multivariate polyhedral function along a line.. 1985.
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