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＜電子ブック＞
Elements of Optimization : With Applications in Economics and Business / by Delia Koo
(Heidelberg Science Library)

版	1st ed. 1977.
出版者	(New York, NY : Springer New York : Imprint: Springer)
出版年	1977
本文言語	英語
大きさ	IX, 220 p : online resource
著者標目	*Koo, Delia author SpringerLink (Online service)
件　名	LCSH:System theory LCSH:Control theory LCSH:Mathematical optimization LCSH:Calculus of variations LCSH:Econometrics FREE:Systems Theory, Control FREE:Calculus of Variations and Optimization FREE:Quantitative Economics
一般注記	1 Extrema of a Function of One Variable -- 2 Extrema of a Function of Two or More Variables (without Constraint) -- 3 Functions of Two or More Variables (with Constraint) -- 4 Simultaneous Maxima of Several Functions -- 5 Linear Programming -- 6 Linear Programming—Duality and Sensitivity Analysis -- 7 Nonlinear Programming -- 8 Optimal Control -- Appendix I -- Quadratic Forms and Characteristic Roots -- Appendix II -- Convexity and Quasiconvexity This book attempts to present the concepts which underlie the various optimization procedures which are commonly used. It is written primarily for those scientists such as economists, operations researchers, and en­ gineers whose main tools of analysis involve optimization techniques and who possess a (not very sharp) knowledge of one or one-and-a-half year's calculus through partial differentiation and Taylor's theorem and some acquaintance with elementary vector and matrix terminology. Such a scientist is frequently confronted with expressions such as Lagrange multi­ pliers, first-and second-order conditions, linear programming and activity analysis, duality, the Kuhn-Tucker conditions, and, more recently, dy­ namic programming and optimal control. He or she uses or needs to use these optimization techniques, and would like to feel more comfortable with them through better understanding of their underlying mathematical concepts, but has no immediate use for a formal theorem-proof treatment which quickly abstracts to a general case of n variables and uses a style and terminology that are discouraging to people who are not mathematics majors. The emphasis of this book is on clarity and plausibility. Through examples which are worked out step by step in detail, I hope to illustrate some tools which will be useful to scientists when they apply optimization techniques to their problems. Most of the chapters may be read independently of each other-with the exception of Chapter 6, which depends on Chapter 5. For instance, the reader will find little or no difficulty in reading Chapter 8 without having read the previous chapters HTTP:URL=https://doi.org/10.1007/978-1-4612-6358-6

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