Автор: Gass Saul I. Название: Linear Programming: Methods and Applications: Fifth Edition ISBN: 048643284X ISBN-13(EAN): 9780486432847 Издательство: Dover Рейтинг: Цена: 24780.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: "One of the best introductory books on linear programming ... excellent." -- Journal of the American Statistical Association. "A good elementary text. "-- Mathematical Reviews. Clear and comprehensive in its coverage of the entire spectrum of linear programming techniques, this volume introduces theoretical, computational, and applied concepts. Considerations of theoretical and computational methods include the general linear programming problem, the simplex computational procedure, the revised simplex method, the duality problems of linear programming, degeneracy procedures, parametric linear programming and sensitivity analysis, and additional computational techniques. The treatment of applications covers the transportation problem and general linear programming applications, and a final part examines nonlinear programming. Numerical examples and exercises with selected answers appear in every chapter. Useful both as a text and as a reference, this volume provides valuable help to research analysts, applied mathematicians, economists, statisticians, and others wishing to make effective use of modern programming techniques.
Автор: Nelson Barry L. Название: Stochastic Modeling: Analysis and Simulation ISBN: 0486477703 ISBN-13(EAN): 9780486477701 Издательство: Dover Рейтинг: Цена: 24820.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: A coherent introduction to the techniques for modeling dynamic stochastic systems, this volume also offers a guide to the mathematical, numerical, and simulation tools of systems analysis. Suitable for advanced undergraduates and graduate-level industrial engineers and management science majors, it proposes modeling systems in terms of their simulation, regardless of whether simulation is employed for analysis. Beginning with a view of the conditions that permit a mathematical-numerical analysis, the text explores Poisson and renewal processes, Markov chains in discrete and continuous time, semi-Markov processes, and queuing processes. Each chapter opens with an illustrative case study, and comprehensive presentations include formulation of models, determination of parameters, analysis, and interpretation of results. Programming language-independent algorithms appear for all simulation and numerical procedures. Solutions to the exercises are available upon request from the publisher at editors@doverpublications.com.
Автор: Gass, Saul I. Название: An Illustrated Guide to Linear Programming ISBN: 0486262588 ISBN-13(EAN): 9780486262581 Издательство: Dover Рейтинг: Цена: 12370.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
"I would not hesitate to recommend the book." -- Industrial Engineering Linear programming is an extremely effective problem-solving tool, with applications in business, agriculture, government, manufacturing, transportation, engineering, and many other areas. This very readable book presents an elementary introduction to linear programming in a refreshing, often humorous style. Requiring no math beyond high-school algebra, the book shows how linear programming can help anyone reach the optimum solution for a host of diverse problems. Chapter One introduces the basic concepts of linear programming and discusses its relationship to other mathematical models. Chapter Two discusses the formulation of linear-programming problems, including detailed treatment of problems involving diet, catering, assignment, and activity analysis. Chapter Three briefly introduces solution techniques for linear-programming problems, emphasizing the graphical approach. The final chapter describes and formulates a number of important applications, including network problems, traveling-salesman problems and the relationship between linear programming and the theory of games. Finally, a useful appendix offers precise statements of definitions, theorems and techniques, as well as additional computational procedures. Enlivened with over 70 excellent illustrations, this book represents a very accessible introduction to basic linear programming.
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