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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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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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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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Linear Programming and Network Flows
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M S Bazaraa
"Linear Programming and Network Flows" presents the problem of minimizing and maximizing a linear function in the presence of linear equality or inequality constraints. This text provides methods for modeling complex problems via effective algorithms on modern computers, optimization problems, and effective solution algorithms. The book also ...
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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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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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Civil and Environmental Systems Engineering
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Charles A Revelle, Earl Whitlatch, Jeff Wright
For junior/senior-level courses in Systems Analysis or Systems Analysis and Economics as applied to civil engineering. With a reorganization and new material, the Second Edition of this acclaimed text is designed to enhance the student's learning experience by providing exposure to modeling ideas and concepts. Network flow problems are emphasized ...
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Introduction to Linear Optimization
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Dimitris Bertsimas
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Precalculus: A Self-Teaching Guide
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Steve Slavin, Stephen L Slavin, Ginny Crisonino
This guide provides a clear, interactive introduction to the key concepts of those disciplines collectively known as precalculus, including an algebra review and complete coverage of exponential and log functions, trigonometry, and linear programming. An addition to Wiley's stable of self-teaching maths titles, it offers a self-teaching approach ...
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Linear Programming: Foundations and Extensions
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Robert J Vanderbei
This book focuses largely on constrained optimization. It begins with a substantial treatment of linear programming and proceeds to convex analysis, network flows, integer programming, quadratic programming, and convex optimization. Along the way, dynamic programming and the linear complementarity problem are touched on as well. This book aims to ...
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Ampl: A Modeling Language for Mathematical Programming
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Robert Fourer
The is a MS-DOS version 3.2 and compatible with later operating systems such as Microsoft Windows. It can be used with Intel 80386 or a compatible microprocessor with 4 MB of disk space and 2 or more MB of memory. This student edition has a conventional memory variant that can be used on any MS-DOS machine with 640K. Developed at AT&T's Bell ...
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Dynamic Programming and Optimal Control
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Dimitri P Bertsekas
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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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Cooperative Stochastic Differential Games
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David W K Yeung, Leon A Petrosyan
Stochastic differential games represent one of the most complex forms of decision making under uncertainty. In particular, interactions between strategic behaviors, dynamic evolution and stochastic elements have to be considered simultaneously. The complexity of stochastic differential games generally leads to great difficulties in the derivation ...
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Combinatorial Optimization
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William Cook, William H Cunningham, William R Pulleyblank
A complete, highly accessible introduction to one of today's most exciting areas of applied mathematics One of the youngest, most vital areas of applied mathematics, combinatorial optimization integrates techniques from combinatorics, linear programming, and the theory of algorithms. Because of its success in solving difficult problems in areas ...
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An Introduction to Generalized Linear Models
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Annette J Dobson, Adrian G Barnett
Popular for its accessible, concise, and clear introduction to this key statistical methodology, "An Introduction to Generalized Linear Models, Third Edition" provides a wealth of examples from such diverse fields as business, medicine, engineering, and the social sciences. Emphasizing graphical methods for exploratory data analysis and ...
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The Logical Basis for Computer Programming, Volume 1
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Zohar Marra, Richard Waldinger, Zohar Manna
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Optimal Stopping and Free-Boundary Problems
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Goran Peskir, Albert Shiryaev
The book aims at disclosing a fascinating connection between optimal stopping problems in probability and free-boundary problems in analysis using minimal tools and focusing on key examples. The general theory of optimal stopping is exposed at the level of basic principles in both discrete and continuous time covering martingale and Markovian ...
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Practical Optimization: Algorithms and Engineering Applications
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by
Andreas Antoniou, Wu-Sheng Lu
"Practical Optimization: Algorithms and Engineering Applications" provides a hands-on treatment of the subject of optimization. A comprehensive set of problems and exercises makes the book suitable for use in one or two semesters of a first-year graduate course or an advanced undergraduate course. Each half of the book contains a full semester's ...
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Matrix Methods in Finite Mathematics: An Introduction with Applications to Business and Industry
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Steven C. Althoen, Robert J. Bumcrot
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Approximate Dynamic Programming: Solving the Curses of Dimensionality
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Warren B Powell
A complete and accessible introduction to the real-world applications of approximate dynamic programming With the growing levels of sophistication in modern-day operations, it is vital for practitioners to understand how to approach, model, and solve complex industrial problems. Approximate Dynamic Programming is a result of the author's decades ...
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Operations research : methods and problems
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by
Maurice Sasieni
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Applications of Linear Algebra
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by
Chris Rorres
This undergraduate textbook, which includes problems and exercises, covers all applications of linear algebra. Topics include constructing curves and surfaces through specified points, plane geometry, graphy theory, computer graphics, linear programming and much more.
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Linear Operators and Linear Systems: An Analytical Approach to Control Theory
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Jonathan R Partington, C M Series (Editor), J W Bruce (Editor)
Linear systems can be regarded as a causal shift-invariant operator on a Hilbert space of signals, and by doing so this book presents an introduction to the common ground between operator theory and linear systems theory. The book therefore includes material on pure mathematical topics such as Hardy spaces, closed operators, the gap metric, ...
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An Introduction to Information Theory
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by
Fazlollah M Reza
Graduate-level study for engineering students presents elements of modern probability theory, information theory, coding theory, more. Emphasis on sample space, random variables, capacity, etc. Many reference tables and extensive bibliography. 1961 edition.
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