Applied Mathematical Programming for Business and Economics

Applied Mathematical Programming for Business and Economics PDF

Author: Man-Keun Kim

Publisher: World Scientific Publishing Company

Published: 2025-01-31

Total Pages: 0

ISBN-13: 9789811254116

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This introductory/intermediate level textbook focuses on mathematical programming and its applications. It introduces basic linear programming -- the easiest form of mathematical programming with emphasis on economic interpretation of the model solution. Well-known applications of linear programming to problems in business and agriculture are presented.The text then extends into more advanced forms of mathematical programming including quadratic and integer programming. These models include the introduction of risk and uncertainty into decision-making and a class of models known as price endogenous models in which market equilibrium analyses can be modelled. Integer programming includes conditional decision-making model, machinery selection, and a class of models known as supply chain models.Supplements are provided to assist solution of the models using either GAMS or Excel, the two most widely used software packages for solution of mathematical programming models.

Mathematical Programming for Economics and Business

Mathematical Programming for Economics and Business PDF

Author: Roger C. Pfaffenberger

Publisher: Iowa State Press

Published: 1976

Total Pages: 484

ISBN-13:

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Characteristics and types of models; Linear programming; Nonlinear programming; Nonlinear programming algorithms; Quadratic programming; Integer programming; Dynmic programming; Recursive; Calculus of variations; Stochastic programming.

Mathematical Programming for Agricultural, Environmental, and Resource Economics

Mathematical Programming for Agricultural, Environmental, and Resource Economics PDF

Author: Harry M. Kaiser

Publisher: Wiley

Published: 2012-01-18

Total Pages: 0

ISBN-13: 9780470599365

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Mathematical Programming Models for Agriculture, Environmental, and Resource Economics provides a comprehensive overview of mathematical programming models and their applications to real world and important problems confronting agricultural, environmental, and resource economists. Unlike most mathematical programming books, the principal focus of this text is on applications of these techniques and models to the fields of agricultural, environmental, and resource economics. The three fundamental goals of the book are to provide the reader with: (1) a level of background sufficient to apply mathematical programming techniques to real world policy and business to conduct solid research and analysis, (2) a variety of applications of mathematical programming to important problems in the areas of agricultural, environmental, and resource economics, and (3) a firm foundation for preparation to more advanced, Ph.D. level books on linear and/or nonlinear programming. Despite its introductory nature, the text places significant emphasis on real world applications of mathematical programming to decision problems. A wide array of examples and case studies are used to convey the various programming techniques available to decision analysts.

Business Optimisation Using Mathematical Programming

Business Optimisation Using Mathematical Programming PDF

Author: Josef Kallrath

Publisher: MacMillan

Published: 1997

Total Pages: 423

ISBN-13: 9780333676233

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This new textbook provides a theoretical and practical introduction to Business Optimisation using mathematical programming. Few textbooks have integrated modelling with state-of-the-art commercially available software. This text will be up to date with relevant examples and cases and will be accompanied by the software to solve the models. An instructor's manual will also be available.

Mathematics for Economics and Business

Mathematics for Economics and Business PDF

Author: Jean Soper

Publisher: Wiley-Blackwell

Published: 2004-05-21

Total Pages: 432

ISBN-13: 9781405111270

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This text offers the ideal approach for economics and business students seeking to understand the mathematics relevant to them. Each chapter demonstrates basic mathematical techniques, while also explaining the economic analysis and business context where each is used. By following the worked examples and tackling the practice problems, students will discover how to use and apply each of these techniques. Now in its second edition, the text features expanded summaries of economic analysis, new sections on matrix algebra and linear programming, and additional demonstrations of economics applications. Demonstrates mathematical techniques while explaining their economic and business applications Engages the reader with numerous worked examples and practice problems Features new sections on matrix algebra and linear programming Includes a companion website with the book, containing the award winning MathEcon software, Excel files, Powerpoint slides, all definitions and 'remember boxes', and additional practice questions

Methods of Mathematical Economics

Methods of Mathematical Economics PDF

Author: Joel N. Franklin

Publisher: Springer

Published: 2013-06-29

Total Pages: 307

ISBN-13: 3662253178

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In 1924 the firm of Julius Springer published the first volume of Methods of Mathematical Physics by Richard Courant and David Hilbert. In the preface, Courant says this: Since the seventeenth century, physical intuition has served as a vital source for mathematical problems and methods. Recent trends and fashions have, however, weakened the connection between mathematics and physics; mathematicians, turning away from the roots of mathematics in intuition, have concentrated on refinement and emphasized the postulational side of mathematics, and at times have overlooked the unity of their science with physics and other fields. In many cases, physicists have ceased to appreciate the attitudes of mathematicians. This rift is unquestionably a serious threat to science as a whole; the broad stream of scientific development may split into smaller and smaller rivulets and dry out. It seems therefore important to direct our efforts toward reuniting divergent trends by clarifying the common features and interconnections of many distinct and diverse scientific facts. Only thus can the student attain some mastery of the material and the basis be prepared for further organic development of research. The present work is designed to serve this purpose for the field of mathe matical physics . . . . Completeness is not attempted, but it is hoped that access to a rich and important field will be facilitated by the book. When I was a student, the book of Courant and Hilbert was my bible.

Mathematical Economics

Mathematical Economics PDF

Author: Kelvin Lancaster

Publisher: Courier Corporation

Published: 2012-10-10

Total Pages: 450

ISBN-13: 0486145042

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Graduate-level text provides complete and rigorous expositions of economic models analyzed primarily from the point of view of their mathematical properties, followed by relevant mathematical reviews. Part I covers optimizing theory; Parts II and III survey static and dynamic economic models; and Part IV contains the mathematical reviews, which range fromn linear algebra to point-to-set mappings.

Matheuristics

Matheuristics PDF

Author: Vittorio Maniezzo

Publisher: Springer Science & Business Media

Published: 2009-09-18

Total Pages: 283

ISBN-13: 1441913068

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Metaheuristics support managers in decision-making with robust tools that provide high-quality solutions to important applications in business, engineering, economics, and science in reasonable time frames, but finding exact solutions in these applications still poses a real challenge. However, because of advances in the fields of mathematical optimization and metaheuristics, major efforts have been made on their interface regarding efficient hybridization. This edited book will provide a survey of the state of the art in this field by providing some invited reviews by well-known specialists as well as refereed papers from the second Matheuristics workshop to be held in Bertinoro, Italy, June 2008. Papers will explore mathematical programming techniques in metaheuristics frameworks, and especially focus on the latest developments in Mixed Integer Programming in solving real-world problems.