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Titlebook: Handbook on Semidefinite, Conic and Polynomial Optimization; Miguel F. Anjos,Jean B. Lasserre Book 2012 Springer Science+Business Media, L

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發(fā)表于 2025-3-21 19:34:00 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Handbook on Semidefinite, Conic and Polynomial Optimization
編輯Miguel F. Anjos,Jean B. Lasserre
視頻videohttp://file.papertrans.cn/423/422537/422537.mp4
概述Summarizes research and developments of last ten years and brings field up to date.Individual sections covering theory, algorithms, software and applications.Editors are quite prominent in the field..
叢書名稱International Series in Operations Research & Management Science
圖書封面Titlebook: Handbook on Semidefinite, Conic and Polynomial Optimization;  Miguel F. Anjos,Jean B. Lasserre Book 2012 Springer Science+Business Media, L
描述.Semidefinite and conic optimization is a major and thriving research area within the optimization community. Although semidefinite optimization has been studied (under different names) since at least the 1940s, its importance grew immensely during the 1990s after polynomial-time interior-point methods for linear optimization were extended to solve semidefinite optimization problems. .Since the beginning of the 21st century, not only has research into semidefinite and conic optimization continued unabated, but also a fruitful interaction has developed with algebraic geometry through the close connections between semidefinite matrices and polynomial optimization. This has brought about important new results and led to an even higher level of research activity. .This .Handbook on Semidefinite, Conic and Polynomial Optimization .provides the reader with a snapshot of the state-of-the-art in the growing and mutually enriching areas of semidefinite optimization, conic optimization, and polynomial optimization. It contains a compendium of the recent research activity that has taken place in these thrilling areas, and will appeal to doctoral. .students, young graduates, and experienced re
出版日期Book 2012
關(guān)鍵詞Combinatorial Optimization; Conic Optimization; Convex Relaxation; Mathematical Programming; Operations
版次1
doihttps://doi.org/10.1007/978-1-4614-0769-0
isbn_softcover978-1-4899-7803-5
isbn_ebook978-1-4614-0769-0Series ISSN 0884-8289 Series E-ISSN 2214-7934
issn_series 0884-8289
copyrightSpringer Science+Business Media, LLC 2012
The information of publication is updating

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0884-8289 , and polynomial optimization. It contains a compendium of the recent research activity that has taken place in these thrilling areas, and will appeal to doctoral. .students, young graduates, and experienced re978-1-4899-7803-5978-1-4614-0769-0Series ISSN 0884-8289 Series E-ISSN 2214-7934
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Christine Bachoc,Dion C. Gijswijt,Alexander Schrijver,Frank Vallentin
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Handbook on Semidefinite, Conic and Polynomial Optimization
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Semidefinite Representation of Convex Sets and Convex Hullse numerical algorithms for solving problems presented in terms of Linear Matrix Inequalities (LMIs). A fundamental problem in semidefinite programming concerns the range of its applicability. What convex sets . can be represented by using LMI? This question has several natural variants; the main one
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Positivity and Optimization: Beyond Polynomialsby approximation theory results. Without aiming at completeness, the present chapter offers a glimpse at a series of specific non-polynomial optimization problems, by identifying in every instance the specific results needed to run a robust algebraic relaxation scheme.
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