Applied Linear Programming
Applied Linear Programming

Author: Michael R. Greenberg

Publisher: Elsevier

Published: 2013-09-25

Total Pages: 346

ISBN-13: 1483273741

DOWNLOAD EBOOK

Applied Linear Programming for the Socioeconomic and Environmental Sciences discusses applications of linear and related programming to help in the transformation of the student or reader from book learning to computer use. The author reviews the theory, methods and applications of linear programming. The author also presents some programming codes that can be used in solving linear programming problems. He describes processes such as parametric programming, sensitivity analysis, and postoptimal analysis. The author lists five possible applications of linear programming, as follows: 1) estimates involving supply of and demand for services; 2) transport and schedule planning; 3) scale, technologies, and optimal site selection; (4) evaluation of impact of activates; and 5) evaluation of alternative options. The author cites a case study of solid-waste management in New Jersey that is common to other areas: availability of disposal sites, increasing amounts of garbage, and stricter environmental regulations. This book can be appreciated by environmentalist, sociologists, economists, civil engineers, and students and professors of advance mathematics and linear programming.

Applied Integer Programming
Applied Integer Programming

Author: Der-San Chen

Publisher: John Wiley & Sons

Published: 2010-01-12

Total Pages: 489

ISBN-13: 0470373067

DOWNLOAD EBOOK

An accessible treatment of the modeling and solution of integer programming problems, featuring modern applications and software In order to fully comprehend the algorithms associated with integer programming, it is important to understand not only how algorithms work, but also why they work. Applied Integer Programming features a unique emphasis on this point, focusing on problem modeling and solution using commercial software. Taking an application-oriented approach, this book addresses the art and science of mathematical modeling related to the mixed integer programming (MIP) framework and discusses the algorithms and associated practices that enable those models to be solved most efficiently. The book begins with coverage of successful applications, systematic modeling procedures, typical model types, transformation of non-MIP models, combinatorial optimization problem models, and automatic preprocessing to obtain a better formulation. Subsequent chapters present algebraic and geometric basic concepts of linear programming theory and network flows needed for understanding integer programming. Finally, the book concludes with classical and modern solution approaches as well as the key components for building an integrated software system capable of solving large-scale integer programming and combinatorial optimization problems. Throughout the book, the authors demonstrate essential concepts through numerous examples and figures. Each new concept or algorithm is accompanied by a numerical example, and, where applicable, graphics are used to draw together diverse problems or approaches into a unified whole. In addition, features of solution approaches found in today's commercial software are identified throughout the book. Thoroughly classroom-tested, Applied Integer Programming is an excellent book for integer programming courses at the upper-undergraduate and graduate levels. It also serves as a well-organized reference for professionals, software developers, and analysts who work in the fields of applied mathematics, computer science, operations research, management science, and engineering and use integer-programming techniques to model and solve real-world optimization problems.

Introduction to Linear Programming
Introduction to Linear Programming

Author: Richard Darst

Publisher: CRC Press

Published: 2020-08-26

Total Pages: 380

ISBN-13: 100014769X

DOWNLOAD EBOOK

Stressing the use of several software packages based on simplex method variations, this text teaches linear programming's four phases through actual practice. It shows how to decide whether LP models should be applied, set up appropriate models, use software to solve them, and examine solutions to a

Applied Integer Linear Programming
Applied Integer Linear Programming

Author: Adam Furmanek

Publisher:

Published: 2021-05-04

Total Pages: 764

ISBN-13:

DOWNLOAD EBOOK

Learn practical applications of Integer Linear Programming from former Polish Olympiad in Informatics finalist and experienced software development engineer Adam Furmanek. Topics covered in the book include ILP theory, complex operators like multiplication and exponentiation, imperative structures like loops and conditions, nondeterministic Turing machine emulation in ILP, solvers comparison, and 30 puzzles and riddles solved with ready to use source code. The text is structured to inspire the reader to explore and develop new ideas. Each puzzle contains hints, full solution with explanation, and logs from running the model with multiple state-of-the-art ILP solvers. This book can be used as a complete ILP course, declarative programming course, or constraint programming introduction.About the author: Adam Furmanek is a Polish Olympiad in Informatics finalist, author of MilpManager library, author of .NET Internals Cookbook, public speaker, and software development engineer.

Applied Mathematical Programming
Applied Mathematical Programming

Author: Stephen P. Bradley

Publisher: Addison Wesley Publishing Company

Published: 1977

Total Pages: 748

ISBN-13:

DOWNLOAD EBOOK

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.

Linear Programming
Linear Programming

Author: Robert J Vanderbei

Publisher: Springer Science & Business Media

Published: 2013-07-16

Total Pages: 420

ISBN-13: 1461476305

DOWNLOAD EBOOK

This Fourth Edition introduces the latest theory and applications in optimization. It emphasizes constrained optimization, beginning with a substantial treatment of linear programming and then proceeding to convex analysis, network flows, integer programming, quadratic programming, and convex optimization. Readers will discover a host of practical business applications as well as non-business applications. Topics are clearly developed with many numerical examples worked out in detail. Specific examples and concrete algorithms precede more abstract topics. With its focus on solving practical problems, the book features free C programs to implement the major algorithms covered, including the two-phase simplex method, primal-dual simplex method, path-following interior-point method, and homogeneous self-dual methods. In addition, the author provides online JAVA applets that illustrate various pivot rules and variants of the simplex method, both for linear programming and for network flows. These C programs and JAVA tools can be found on the book's website. The website also includes new online instructional tools and exercises.

Linear Programming with MATLAB
Linear Programming with MATLAB

Author: Michael C. Ferris

Publisher: SIAM

Published: 2007-01-01

Total Pages: 270

ISBN-13: 0898716438

DOWNLOAD EBOOK

A self-contained introduction to linear programming using MATLAB® software to elucidate the development of algorithms and theory. Exercises are included in each chapter, and additional information is provided in two appendices and an accompanying Web site. Only a basic knowledge of linear algebra and calculus is required.

Linear Programming
Linear Programming

Author: Yaromir Truma

Publisher: Nova Science Publishers

Published: 2014

Total Pages: 0

ISBN-13: 9781631174735

DOWNLOAD EBOOK

Linear programming (LP), as a specific case of mathematical programming, has been widely encountered in a broad class of scientific disciplines and engineering applications. In view of its fundamental role, the solution of LP has been investigated extensively for the past decades. Due to the parallel-distributed processing nature and circuit-implementation convenience, the neurodynamic solvers based on recurrent neural network (RNN) have been regarded as powerful alternatives to online computation. This book discusses how linear programming is used to plan and schedule the workforce in an emergency room; the neurodynamic solvers, robotic applications, and solution non-uniqueness of linear programming; the mathematical equivalence of simple recourse and chance constraints in linear stochastic programming; and provides a decomposable linear programming model for energy supply chains.

Linear-Fractional Programming Theory, Methods, Applications and Software
Linear-Fractional Programming Theory, Methods, Applications and Software

Author: E.B. Bajalinov

Publisher: Springer Science & Business Media

Published: 2013-12-01

Total Pages: 442

ISBN-13: 1441991743

DOWNLOAD EBOOK

This is a book on Linear-Fractional Programming (here and in what follows we will refer to it as "LFP"). The field of LFP, largely developed by Hungarian mathematician B. Martos and his associates in the 1960's, is concerned with problems of op timization. LFP problems deal with determining the best possible allo cation of available resources to meet certain specifications. In particular, they may deal with situations where a number of resources, such as people, materials, machines, and land, are available and are to be combined to yield several products. In linear-fractional programming, the goal is to determine a per missible allocation of resources that will maximize or minimize some specific showing, such as profit gained per unit of cost, or cost of unit of product produced, etc. Strictly speaking, linear-fractional programming is a special case of the broader field of Mathematical Programming. LFP deals with that class of mathematical programming problems in which the relations among the variables are linear: the con straint relations (i.e. the restrictions) must be in linear form and the function to be optimized (i.e. the objective function) must be a ratio of two linear functions.

Linear Programming
Linear Programming

Author: A. Sultan

Publisher: Elsevier

Published: 2014-06-28

Total Pages: 579

ISBN-13: 1483297241

DOWNLOAD EBOOK

Includes one IBM/PC floppy disk. System Requirements: Monochrome monitors, IBM-compatible machines, minimum: 286 IBM, DOS 2.0 or higher. This book gives a complete, concise introduction to the theory and applications of linear programming. It emphasizes the practical applications of mathematics, and makes the subject more accessible to individuals with varying mathematical abilities. It is one of the first rigorous linear programming texts that does not require linear algebra as a prerequisite. In addition, this text contains a floppy disk containing the program SIMPLEX, designed to help students solve problems using the computer. Key Features * Less rigorous mathematically - will appeal to individuals with varying mathematical abilities * Includes a floppy disk containing the program SIMPLEX and an appendix to help students solve problems using the computer * Includes chapters on network analysis and dynamic programming - topics of great interest to business majors and industrial engineers * Includes modem applications - selected computer programs for solving various max/min applications