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Titlebook: Linear Optimization; The Simplex Workbook Glenn Hurlbert Textbook 2010 Springer-Verlag New York 2010 Convex Geometry.Convexity.Duality.Line

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書(shū)目名稱(chēng)Linear Optimization
副標(biāo)題The Simplex Workbook
編輯Glenn Hurlbert
視頻videohttp://file.papertrans.cn/587/586365/586365.mp4
概述Uses the "modified Moore method" approach in which examples and proof opportunities are worked into the text in order to encourage students to develop some of the content through their own examples an
叢書(shū)名稱(chēng)Undergraduate Texts in Mathematics
圖書(shū)封面Titlebook: Linear Optimization; The Simplex Workbook Glenn Hurlbert Textbook 2010 Springer-Verlag New York 2010 Convex Geometry.Convexity.Duality.Line
描述The Subject A little explanation is in order for our choice of the title Linear Opti- 1 mization (and corresponding terminology) for what has traditionally been called Linear Programming.Theword programming in this context can be confusing and/or misleading to students. Linear programming problems are referred to as optimization problems but the general term linear p- gramming remains. This can cause people unfamiliar with the subject to think that it is about programming in the sense of writing computer code. It isn’t. This workbook is about the beautiful mathematics underlying the ideas of optimizing linear functions subject to linear constraints and the algorithms to solve such problems. In particular, much of what we d- cuss is the mathematics of Simplex Algorithm for solving such problems, developed by George Dantzig in the late 1940s. The word program in linear programming is a historical artifact. When Dantzig ?rstdevelopedthe Simplex Algorithm to solvewhat arenowcalled linear programming problems, his initial model was a class of resource - location problems to be solved for the U.S. Air Force. The decisions about theallocationswerecalled‘Programs’bytheAirForce,andhencethet
出版日期Textbook 2010
關(guān)鍵詞Convex Geometry; Convexity; Duality; Linear Programming; Networks; Simplex Algorithm; algorithms; game theo
版次1
doihttps://doi.org/10.1007/978-0-387-79148-7
isbn_softcover978-1-4614-2455-0
isbn_ebook978-0-387-79148-7Series ISSN 0172-6056 Series E-ISSN 2197-5604
issn_series 0172-6056
copyrightSpringer-Verlag New York 2010
The information of publication is updating

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978-1-4614-2455-0Springer-Verlag New York 2010
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Linear Optimization978-0-387-79148-7Series ISSN 0172-6056 Series E-ISSN 2197-5604
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Glenn H. Hurlbertheir origins.Highlights George Gerstein’s innovative computaThis book brings together a selection of papers by George Gerstein, representing his long-term endeavor of making neuroscience into a more rigorous science inspired by physics, where he had his roots. Professor Gerstein was many years ahead
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Glenn H. Hurlbertheir origins.Highlights George Gerstein’s innovative computaThis book brings together a selection of papers by George Gerstein, representing his long-term endeavor of making neuroscience into a more rigorous science inspired by physics, where he had his roots. Professor Gerstein was many years ahead
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