Mathematical Programming for Operations Researchers and Computer Scientists

Mathematical Programming for Operations Researchers and Computer Scientists
Author: Holzman
Publisher: CRC Press
Total Pages: 398
Release: 1981-06-01
Genre: Computers
ISBN: 9780824714994

This book covers the fundamentals of linear programming, extension of linear programming to discrete optimization methods, multi-objective functions, quadratic programming, geometric programming, and classical calculus methods for solving nonlinear programming problems.

Mathematical Programming for Operations Researchers and Computer Scientists

Mathematical Programming for Operations Researchers and Computer Scientists
Author: Albert G. Holzman
Publisher: CRC Press
Total Pages: 392
Release: 2020-11-25
Genre: Mathematics
ISBN: 1000110273

This book covers the fundamentals of linear programming, extension of linear programming to discrete optimization methods, multi-objective functions, quadratic programming, geometric programming, and classical calculus methods for solving nonlinear programming problems.

Julia Programming for Operations Research

Julia Programming for Operations Research
Author: Changhyun Kwon
Publisher: Changhyun Kwon
Total Pages: 262
Release: 2019-03-03
Genre: Technology & Engineering
ISBN: 1798205475

Last Updated: December 2020 Based on Julia v1.3+ and JuMP v0.21+ The main motivation of writing this book was to help the author himself. He is a professor in the field of operations research, and his daily activities involve building models of mathematical optimization, developing algorithms for solving the problems, implementing those algorithms using computer programming languages, experimenting with data, etc. Three languages are involved: human language, mathematical language, and computer language. His team of students need to go over three different languages, which requires "translation" among the three languages. As this book was written to teach his research group how to translate, this book will also be useful for anyone who needs to learn how to translate in a similar situation. The Julia Language is as fast as C, as convenient as MATLAB, and as general as Python with a flexible algebraic modeling language for mathematical optimization problems. With the great support from Julia developers, especially the developers of the JuMP—Julia for Mathematical Programming—package, Julia makes a perfect tool for students and professionals in operations research and related areas such as industrial engineering, management science, transportation engineering, economics, and regional science. For more information, visit: http://www.chkwon.net/julia

Mathematical Programming

Mathematical Programming
Author: Michel Minoux
Publisher: John Wiley & Sons
Total Pages: 526
Release: 1986
Genre: Mathematics
ISBN:

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 functions, duality theory and its extensions.

Harvey J. Greenberg

Harvey J. Greenberg
Author: Allen Holder
Publisher: Springer Nature
Total Pages: 172
Release: 2020-11-20
Genre: Business & Economics
ISBN: 3030564290

This volume chronicles the high impact research career of Harvey Greenberg (1940-2018), and in particular, it reviews historical contributions, presents current research projects, and suggests future pursuits. This volume addresses several of his most distinguished hallmarks, including model analysis, model generation, infeasibility diagnosis, sensitivity analysis, parametric programming, energy modeling, and computational biology. There is also an overview chapter on the emergence of computational OR, and in particular, how literature venues have changed the course of OR research. He developed Computer-Assisted Analysis in the 1970s and 80s, creating an artificially intelligent environment for analyzing mathematical programming models and their results. This earned him the first INFORMS Computing Society (ICS) Prize for "research excellence in the interfaces between operations research and computer science" in 1986, notably for his software system, ANALYZE. In 1993, he wrote the first book in the Springer OR/CS Series entitled A Computer-Assisted Analysis System for Mathematical Programming Models and Solutions: A User’s Guide for ANALYZE. He applied OR methods to CS problems, ranging from using queuing theory for optimal list structure design to using integer programming for bioinformatic database search. He also applied CS to OR problems, ranging from super-sparse information structures to the use of compiler design in ANALYZE. This book can serve as a guide to new researchers, and will report the historical trajectory of OR as it solves current problems and forecasts future applications through the accomplishments of Harvey Greenberg.

Introduction to Probability Models

Introduction to Probability Models
Author: Wayne L. Winston
Publisher: Duxbury Resource Center
Total Pages: 762
Release: 2004
Genre: Business & Economics
ISBN:

Vol. 2: CD-ROM contains student editions of: ProcessModel, LINGO, Premium Solver, DecisionTools Suite including @RISK AND RISKOptimizer, Data files.

Nonlinear Integer Programming

Nonlinear Integer Programming
Author: Duan Li
Publisher: Springer Science & Business Media
Total Pages: 452
Release: 2006-08-13
Genre: Mathematics
ISBN: 0387329951

A combination of both Integer Programming and Nonlinear Optimization, this is a powerful book that surveys the field and provides a state-of-the-art treatment of Nonlinear Integer Programming. It is the first book available on the subject. The book aims to bring the theoretical foundation and solution methods for nonlinear integer programming to students and researchers in optimization, operations research, and computer science.

Numerical Optimization

Numerical Optimization
Author: Jorge Nocedal
Publisher: Springer Science & Business Media
Total Pages: 651
Release: 2006-06-06
Genre: Mathematics
ISBN: 0387227423

The new edition of this book 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 methods best suited to practical problems. This edition has been thoroughly updated throughout. There are new chapters on nonlinear interior methods and derivative-free methods for optimization, both of which are widely used in practice and are the focus of much current research. Because of the emphasis on practical methods, as well as the extensive illustrations and exercises, the book is accessible to a wide audience.

Mathematical Programming

Mathematical Programming
Author: Steven Vajda
Publisher: Courier Corporation
Total Pages: 322
Release: 2009-01-01
Genre: Mathematics
ISBN: 0486472132

This classic by a well-known expert explores both theory and applications. It focuses on linear programming, in addition to other programming topics, and features numerous worked-out examples and problems. 1961 edition.