Applied Mathematical Programming

This book PDF is perfect for those who love Mathematics genre, written by Stephen P. Bradley and published by Addison Wesley Publishing Company which was released on 28 May 1977 with total hardcover pages 748. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Applied Mathematical Programming books below.

Applied Mathematical Programming

Author	: Stephen P. Bradley
File Size	: 47,7 Mb
Publisher	: Addison Wesley Publishing Company
Language	: English
Release Date	: 28 May 1977
ISBN	: MINN:31951001006972E
Pages	: 748 pages

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Applied Mathematical Programming by Stephen P. Bradley Book PDF Summary

Mathematical programming: an overview; solving linear programs; sensitivity analysis; duality in linear programming; mathematical programming in practice; integration of strategic and tactical planning in the aluminum industry; planning the mission and composition of the U.S. merchant Marine fleet; network models; integer programming; design of a naval tender job shop; dynamic programming; large-scale systems; nonlinear programming; a system for bank portfolio planning; vectors and matrices; linear programming in matrix form; a labeling algorithm for the maximun-flow network problem.

Applied Mathematical Programming by Stephen P. Bradley,Arnoldo C. Hax,Thomas L. Magnanti

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Building and Solving Mathematical Programming Models in Engineering and Science by Enrique Castillo,Antonio J. Conejo,Pablo Pedregal,Ricardo García,Natalia Alguacil

Fundamental concepts of mathematical modeling Modeling is one of the most effective, commonly used tools in engineering and the applied sciences. In this book, the authors deal with mathematical programming models both linear and nonlinear and across a wide range of practical applications. Whereas other books concentrate on standard methods

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Methods and Models in Mathematical Programming by S. A. MirHassani,F. Hooshmand

This book focuses on mathematical modeling, describes the process of constructing and evaluating models, discusses the challenges and delicacies of the modeling process, and explicitly outlines the required rules and regulations so that the reader will be able to generalize and reuse concepts in other problems by relying on mathematical

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Applied Mathematical Programming for Business and Economics by Man-Keun Kim,Thomas H Spreen,Bruce A McCarl,Chengcheng Fei

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

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Progress in Mathematical Programming by Nimrod Megiddo

The starting point of this volume was a conference entitled "Progress in Mathematical Programming," held at the Asilomar Conference Center in Pacific Grove, California, March 1-4, 1987. The main topic of the conference was developments in the theory and practice of linear programming since Karmarkar's algorithm. There were thirty presentations and

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Mathematical Programming by Michel Minoux

This comprehensive work covers the whole field of mathematical programming, including linear programming, unconstrained and constrained nonlinear programming, nondifferentiable (or nonsmooth) optimization, integer programming, large scale systems optimization, dynamic programming, and optimization in infinite dimensions. Special emphasis is placed on unifying concepts such as point-to-set maps, saddle points and perturbations

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Mathematical Programming with Data Perturbations by Anthony V. Fiacco

Presents research contributions and tutorial expositions on current methodologies for sensitivity, stability and approximation analyses of mathematical programming and related problem structures involving parameters. The text features up-to-date findings on important topics, covering such areas as the effect of perturbations on the performance of algorithms, approximation techniques for optimal control

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Applied Mathematical Programming for Business and Economics by Man-Keun Kim,Thomas H Spreen,Bruce A McCarl,Chengcheng Fei

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