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Mathematical Programming for Operations Researchers and Computer Scientists

2020-11-25 Mathematics
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Release : 2020-11-25
Genre : Mathematics
Kind : eBook
Book Rating : 273/5 ( reviews)

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Book Synopsis Mathematical Programming for Operations Researchers and Computer Scientists by : Albert G. Holzman

Download or read book Mathematical Programming for Operations Researchers and Computer Scientists written by Albert G. Holzman. This book was released on 2020-11-25. Available in PDF, EPUB and Kindle. Book excerpt: 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

1981-06-01 Computers
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Release : 1981-06-01
Genre : Computers
Kind : eBook
Book Rating : 994/5 ( reviews)

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Book Synopsis Mathematical Programming for Operations Researchers and Computer Scientists by : Holzman

Download or read book Mathematical Programming for Operations Researchers and Computer Scientists written by Holzman. This book was released on 1981-06-01. Available in PDF, EPUB and Kindle. Book excerpt:

Mathematical Programming in Machine Learning

2011-03-29 Computers
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Release : 2011-03-29
Genre : Computers
Kind : eBook
Book Rating : 247/5 ( reviews)

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Book Synopsis Mathematical Programming in Machine Learning by : O. Erhun Kundakcioglu

Download or read book Mathematical Programming in Machine Learning written by O. Erhun Kundakcioglu. This book was released on 2011-03-29. Available in PDF, EPUB and Kindle. Book excerpt: There have been dramatic improvements in the algorithms and techniques used in machine learning over the last twenty years. Numerous methods have been developed that utilize mathematical programming techniques that are well known to operations researchers. Because understanding of the fundamentals of mathematical programming is essential for theoretical computer scientists, this book intends to provide this audience a strong introduction to the analysis and mathematical programming techniques used in machine learning. Additionally, the book offers operations researchers various examples of machine learning’s applications to optimization and modeling. Primary Audience for Work: Researchers and practitioners in fields of Computer Science and Operations Research

Julia Programming for Operations Research

2019-03-03 Technology & Engineering
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Release : 2019-03-03
Genre : Technology & Engineering
Kind : eBook
Book Rating : 475/5 ( reviews)

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Book Synopsis Julia Programming for Operations Research by : Changhyun Kwon

Download or read book Julia Programming for Operations Research written by Changhyun Kwon. This book was released on 2019-03-03. Available in PDF, EPUB and Kindle. Book excerpt: 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

Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search

2013-03-14 Business & Economics
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Release : 2013-03-14
Genre : Business & Economics
Kind : eBook
Book Rating : 077/5 ( reviews)

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Book Synopsis Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search by : David L. Woodruff

Download or read book Advances in Computational and Stochastic Optimization, Logic Programming, and Heuristic Search written by David L. Woodruff. This book was released on 2013-03-14. Available in PDF, EPUB and Kindle. Book excerpt: Computer Science and Operations Research continue to have a synergistic relationship and this book - as a part of the Operations Research and Computer Science Interface Series - sits squarely in the center of the confluence of these two technical research communities. The research presented in the volume is evidence of the expanding frontiers of these two intersecting disciplines and provides researchers and practitioners with new work in the areas of logic programming, stochastic optimization, heuristic search and post-solution analysis for integer programs. The chapter topics span the spectrum of application level. Some of the chapters are highly applied and others represent work in which the application potential is only beginning. In addition, each chapter contains expository material and reviews of the literature designed to enhance the participation of the reader in this expanding interface.

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