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Linear System Theory and Design
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Chi-Tsong Chen
This text is an extensive revision of the author's highly successful text, "Linear Systems Theory and Design". In the third edition, the author is revising his formerly more theoretical approach to the topic of linear systems, choosing instead a more general approach that will appeal to a wider audience. A key feature of the revision is the ...
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Linear Programming and Network Flows
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M S Bazaraa
Linear Programming and Network Flows, now in its third edition, addresses the problem of minimizing or maximizing a linear function in the presence of linear equality or inequility constraints. This book: * Provides methods for modeling complex problems via effective algorithms on modern computers. * Presents the general theory and characteristics ...
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Numerical Optimization
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Jorge Nocedal, Stephen J Wright
"Numerical Optimization" presents a comprehensive and up-to-date description of the most effective methods in continuous optimization. It responds to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems. Drawing on their experiences in teaching, research, ...
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Methods of Operations Research
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Philip M Morse
METHODS OF OPERATIONS RESEARCH PHILIP M. MORSE IKOFRShOU OK Im SHS MASSAC in M, rrs ivsrrii LI OF ri, c iiNOLO FOHMKHLl IMH1 TOR OK m.-K Hril WE PONS SlHlM-M A H AFION SHIM 1 OKKICK OK rilK SKCHhrVKk OK DKKKNSh GEORGE E. KIV1HAIJ IKOKI-SSOK OF III MlSlU OLlMHI IMVMiSlI FOKMI HI 1 1. IM l i D1UKCTOK orhii noNs IA IA rioN CHOI I MTK1 hTAri-Ji NAN ...
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Linear programming and economic analysis
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Robert Dorfman
Clear, comprehensive exposition of interrelation of game theory and linear programming, interrelation of linear programming and modern welfare economics, Leontief theory of input-output, problems of dynamic linear programming, more.
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Linear programming: methods and applications
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Saul I Gass
Clear and comprehensive, this volume introduces theoretical, computational, and applied concepts and is useful both as text and as a reference book. Considerations of theoretical and computational methods include the general linear programming problem, the simplex computational procedure, the revised simplex method, more. Examples and exercises ...
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Model building in mathematical programming
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by
H P Williams
Review of previous editions 'Such a text - and this is the only one of this type I know of - should be the basis of all instruction in Mathematical Programming.' Journal of the Royal Statistical Society 'An excellent introduction ...for students of business administration and people who want to see the utility of operations research.' European ...
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Linear and nonlinear programming
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Stephen Nash, Ariela Sofer
This text presents linear and nonlinear programming in an integrated setting and serves as a complete and unified introduction to applications, theory, and algorithms.
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How to Solve It: Modern Heuristics
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Zbigniew Michalewicz, David B Fogel
This book is the only source that provides comprehensive, current, and correct information on problem solving using modern heuristics. It covers classic methods of optimization, including dynamic programming, the simplex method, and gradient techniques, as well as recent innovations such as simulated annealing, tabu search, and evolutionary ...
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Ampl: A Modeling Language for Mathematical Programming
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Robert Fourer
AMPL is a language for large-scale optimization and mathematical programming problems in production, distribution, blending, scheduling, and many other applications. Combining familiar algebraic notation and a powerful interactive command environment, AMPL makes it easy to create models, use a wide variety of solvers, and examine solutions. Though ...
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Linear and Nonlinear Programming
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David G Luenberger, Yinyu Ye
"Linear and Nonlinear Programming" is considered a classic textbook in Optimization. While it is a classic, it also reflects modern theoretical insights. These insights provide structure to what might otherwise be simply a collection of techniques and results, and this is valuable both as a means for learning existing material and for developing ...
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Linear Programming: Foundations and Extensions
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Robert J Vanderbei
"Linear Programming: Foundations and Extensions" is an introduction to the field of optimization. The book emphasizes constrained optimization, beginning with a substantial treatment of linear programming, and proceeding to convex analysis, network flows, integer programming, quadratic programming, and convex optimization. The book is carefully ...
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An Introduction to Linear Programming and Game Theory
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Paul R Thie
Providing a rigorous introduction to the theoretical concepts and computational techniques of linear programming and game theory, this text illustrates how mathematics can be used to understand and resolve real world problems. Standard topics are covered - the simplex algorithm; duality; sensitivity; integer programming; the transportation problem ...
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Introduction to Discrete Event Systems
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Christos G Cassandras, Stephane Lafortune
A substantial portion of this book is a revised version of "Discrete Event Systems: Modeling and Performance Analysis" (1993), which was written by the first author and received the 1999 Harold Chestnut Prize, awarded by the International Federation of Automatic Control (IFAC) for best control engineering textbook. This new expanded book is a ...
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Nonlinear Programming: Theory and Algorithms
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Mokhtar S Bazaraa, C M Shetty
"Nonlinear Programming: Theory and Algorithms" - now in an extensively updated third edition - addresses the problem of optimizing an objective function in the presence of equality and inequality constraints. Many realistic problems cannot be adequately represented as a linear program owing to the nature of the nonlinearity of the objective ...
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An Introduction to Computer Science: An Algorithmic Approach
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Jean-Paul Tremblay
This book, intended for a 1- or 2-semester introductory computer science course, teaches the principles of algorithm development and computer science. Problem solving and solution development are emphasized.
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Introduction to Mathematical Programming: Applications and Algorithms
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Wayne L Winston, Ph.D.
Focusing on deterministic models, this book is designed for the first half of an operations research course. A subset of Winston's best-selling Operations Research, Introduction to Mathematical Programing offers self-contained chapters that make it flexible enough for one- or two-semester courses ranging from advanced beginning to intermediate in ...
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Information theory and statistics
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by
Solomon Kullback
Highly useful text studies logarithmic measures of information and their application to testing statistical hypotheses. Includes numerous worked examples and problems. References. Glossary. Appendix. 1968 2nd, revised edition.
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Linear System Theory
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Frank M Callier, Charles A Desoer
This volume is intended for engineers in research and development and applied mathematicians. It is also designed to be a useful reference for graduate students in linear systems with interests in control. With this purpose in mind, the discrete-time case is treated in an isomorphic fashion with the continuous-time case. This volume is self ...
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The Mathematics of Nonlinear Programming
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Anthony L. Peressini, Anthony L. Perssini
Nonlinear programming provides an excellent opportunity to explore an interesting variety of pure and solidly applicable mathematics, numerical analysis, and computing. This text develops some of the ideas and techniques involved in the optimization methods using calculus, leading to the study of convexity. This is followed by material on basic ...
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Convex Analysis and Nonlinear Optimization: Theory and Examples
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Jonathan Borwein, Adrian S Lewis
Optimization is a rich and thriving mathematical discipline. The theory underlying current computational optimization techniques grows ever more sophisticated. The powerful and elegant language of convex analysis unifies much of this theory. The aim of this book is to provide a concise, accessible account of convex analysis and its applications ...
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Combinatorial Optimization: Polyhedra and Efficiency
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Alexander Schrijver
This book offers an in-depth overview of polyhedral methods and efficient algorithms in combinatorial optimization. These methods form a broad, coherent and powerful kernel in combinatorial optimization, with strong links to discrete mathematics, mathematical programming and computer science. In eight parts, various areas are treated, each ...
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Linear Programming
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Vasek Chvatal
"An innovative, attractive introduction to linear programming ..." American Mathematical Monthly
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Nonlinear Programming: Analysis and Methods
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Mordecai Avriel
This overview provides a single-volume treatment of key algorithms and theories. Begins with the derivation of optimality conditions and discussions of convex programming, duality, generalized convexity, and analysis of selected nonlinear programs, and then explores techniques for numerical solutions and unconstrained optimization methods. 1976 ...
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Nonlinear Programming
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Dimitri P. Bertsekas
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