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Titlebook: Understanding and Using Linear Programming; Ji?í Matou?ek,Bernd G?rtner Textbook 2007 Springer-Verlag Berlin Heidelberg 2007 Computer.algo

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書目名稱Understanding and Using Linear Programming
編輯Ji?í Matou?ek,Bernd G?rtner
視頻videohttp://file.papertrans.cn/942/941764/941764.mp4
概述Elementary, excellently written textbook on linear programming for a very wide-ranging readership.Includes supplementary material:
叢書名稱Universitext
圖書封面Titlebook: Understanding and Using Linear Programming;  Ji?í Matou?ek,Bernd G?rtner Textbook 2007 Springer-Verlag Berlin Heidelberg 2007 Computer.algo
描述This is an introductory textbook of linear programming, written mainly for students of computer science and mathematics. Our guiding phrase is, "what every theoretical computer scientist should know about linear programming".?The book is relatively concise, in order to allow the reader to focus on the basic ideas. For a number of topics commonly appearing in thicker books on the subject, we were seriously tempted to add them to the main text, but we decided to present them only very brie?y in a separate glossary. At the same time, we aim at covering the main results with complete proofs and in su?cient detail, in a way ready for presentation in class. One of the main focuses is applications of linear programming, both in practice and in theory. Linear programming has become an extremely ?- ible tool in theoretical computer science and in mathematics. While many of the ?nest modern applications are much too complicated to be included in an introductory text, we hope to communicatesome of the ?avor (and excitement) of such applications on simpler examples.
出版日期Textbook 2007
關(guān)鍵詞Computer; algorithm; computer science; linear algebra; linear optimization; linear programming; optimizati
版次1
doihttps://doi.org/10.1007/978-3-540-30717-4
isbn_softcover978-3-540-30697-9
isbn_ebook978-3-540-30717-4Series ISSN 0172-5939 Series E-ISSN 2191-6675
issn_series 0172-5939
copyrightSpringer-Verlag Berlin Heidelberg 2007
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Ji?í Matou?ek,Bernd G?rtner temporal and spatial stochastic pattern formation.JuxtaposeThis book describes a large number of open problems in the theory of stochastic neural systems, with the aim of enticing probabilists to work on them. This includes problems arising from stochastic models of individual neurons as well as th
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Ji?í Matou?ek,Bernd G?rtneror stochastic numerics.Features a new chapter on backward st.This book is a substantially revised and expanded edition reflecting major developments in stochastic numerics since the first edition was published in 2004. The new topics, in particular, include mean-square and weak approximations in the
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Ji?í Matou?ek,Bernd G?rtnereactor (AGR) power station simulator. The results of these trials are reported in this chapter..The principles of the AGR power system design are briefly outlined in Section 5.1. The control strategy currently implemented at Hunterston is described in Section 5.2. The Hunterston ‘B’ simulator consis
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