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Titlebook: Complementarity and Fixed Point Problems; M. L. Balinski,R. W. Cottle Book 1978Latest edition Springer-Verlag Berlin Heidelberg 1978 algor

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書(shū)目名稱(chēng)Complementarity and Fixed Point Problems
編輯M. L. Balinski,R. W. Cottle
視頻videohttp://file.papertrans.cn/232/231290/231290.mp4
叢書(shū)名稱(chēng)Mathematical Programming Studies
圖書(shū)封面Titlebook: Complementarity and Fixed Point Problems;  M. L. Balinski,R. W. Cottle Book 1978Latest edition Springer-Verlag Berlin Heidelberg 1978 algor
出版日期Book 1978Latest edition
關(guān)鍵詞algorithms; character; complexity; computation; computational complexity; convergence; equation; implementa
版次1
doihttps://doi.org/10.1007/BFb0120777
isbn_ebook978-3-642-00788-0Series ISSN 0303-3929 Series E-ISSN 2364-8201
issn_series 0303-3929
copyrightSpringer-Verlag Berlin Heidelberg 1978
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Improving the convergence of fixed-point algorithms,cobian is an automatic by-product of the algorithms; this matrix can improve their performance considerably in a number of ways. Finally, we report some computational experience that reinforces most of our conclusions.
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Rebecca Hughes,Beatrice Szczepek Reedcomplexity of complementary pivot methods for solving LCPs. We show that the number of pivot steps required for solving an LCP of order . by complementary pivot methods is not bounded above by a polynomial in .. For each .≧2, we construct a simple LCP of order ., for solving which the complementary
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,A linear complementarity problem with an , by , “,”-matrix,nce and uniqueness theorem concerning the linear complementarity problem with a .-matrix. The above problem with (.) having the .-property includes as special cases, a strictly convex quadratic program with bounded variables and certain problems in structural mechanics.
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Rebecca Hughes,Beatrice Szczepek Reedpositive matrix with a dominant diagonal columnwise, . is very easily determined and the linear complementarity problem can be solved as an ordinary linear program. Examples of linear complementarity problems are given which can be solved as linear programs, but not by Lemke‘s method or the principal pivoting method.
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