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＜電子ブック＞
Principles of Mathematics in Operations Research / by Levent Kandiller
(International Series in Operations Research & Management Science. ISSN:22147934 ; 97)

版	1st ed. 2007.
出版者	New York, NY : Springer US : Imprint: Springer
出版年	2007
本文言語	英語
大きさ	XII, 298 p. 70 illus : online resource
著者標目	*Kandiller, Levent author SpringerLink (Online service)
件　名	LCSH:Mathematical models LCSH:Operations research LCSH:Mathematics LCSH:Mathematics -- Data processing  全ての件名で検索 LCSH:Mathematical optimization LCSH:Business LCSH:Management science FREE:Mathematical Modeling and Industrial Mathematics FREE:Operations Research and Decision Theory FREE:Applications of Mathematics FREE:Computational Mathematics and Numerical Analysis FREE:Optimization FREE:Business and Management
一般注記	Preliminary Linear Algebra -- Orthogonality -- Eigen Values and Vectors -- Positive Definiteness -- Computational Aspects -- Convex Sets -- Linear Programming -- Number Systems -- Basic Topology -- Continuity -- Differentiation -- Power Series and Special Functions -- Special Transformations Principles of Mathematics in Operations Research is a comprehensive survey of the mathematical concepts and principles of industrial mathematics. Its purpose is to provide students and professionals with an understanding of the fundamental mathematical principles used in Industrial Mathematics/OR in modeling problems and application solutions. All the concepts presented in each chapter have undergone the learning scrutiny of the author and his students. The conceptual relationships within the chapter material have been developed in the classroom experience working with the students' level of understanding. The illustrative material throughout the book (i.e., worked-out problems and examples of the mathematical principles) was refined for student comprehension as the manuscript developed through its iterations, and the chapter exercises are refined from the previous year's exercises. In sum, the author has carefully developed a pedagogically strong survey textbook of OR and Industrial Mathematics HTTP:URL=https://doi.org/10.1007/978-0-387-37735-3

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