Extremal Optimization: Fundamentals, Algorithms, And Applications

Extremal Optimization: Fundamentals, Algorithms, and Applications  eBooks & eLearning

Posted by AlenMiler at March 26, 2016
Extremal Optimization: Fundamentals, Algorithms, and Applications

Extremal Optimization: Fundamentals, Algorithms, and Applications by Yong-Zai Lu
English | Mar 9, 2016 | ISBN: 1498705650 | 350 Pages | AZW4/PDF (True) | 22.74 MB

Extremal Optimization: Fundamentals, Algorithms, and Applications introduces state-of-the-art extremal optimization (EO) and modified EO (MEO) solutions from fundamentals, methodologies, and algorithms to applications based on numerous classic publications and the authors’ recent original research results.

Global Optimization: Theory, Algorithms, and Applications [repost]  eBooks & eLearning

Posted by naag at April 1, 2017
Global Optimization: Theory, Algorithms, and Applications [repost]

Global Optimization: Theory, Algorithms, and Applications (Mos-Siam Series on Optimization) by Marco Locatelli, Fabio Schoen
2013 | ISBN: 1611972663 | English | 445 pages | PDF | 3 MB
Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with MATLAB (repost)

Amir Beck, "Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with MATLAB"
English | 2014 | ISBN: 1611973643 | 294 pages | PDF | 3 MB

Glowworm Swarm Optimization: Theory, Algorithms, and Applications  eBooks & eLearning

Posted by AlenMiler at Jan. 11, 2017
Glowworm Swarm Optimization: Theory, Algorithms, and Applications

Glowworm Swarm Optimization: Theory, Algorithms, and Applications (Studies in Computational Intelligence) by Krishnanand N. Kaipa
English | 28 Jan. 2017 | ISBN: 3319515942 | 248 Pages | PDF (True) | 100.33 MB

This book provides a comprehensive account of the glowworm swarm optimization (GSO) algorithm, including details of the underlying ideas, theoretical foundations, algorithm development, various applications, and MATLAB programs for the basic GSO algorithm.
Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with MATLAB (repost)

Amir Beck, "Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with MATLAB"
English | 2014 | ISBN: 1611973643 | 294 pages | PDF | 3 MB

Global Optimization: Theory, Algorithms, and Applications  eBooks & eLearning

Posted by ksveta6 at Dec. 14, 2015
Global Optimization: Theory, Algorithms, and Applications

Global Optimization: Theory, Algorithms, and Applications by Marco Locatelli, Fabio Schoen
2013 | ISBN: 1611972663 | English | 445 pages | PDF | 3 MB
Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with MATLAB

Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with MATLAB by Amir Beck
English | 2014 | ISBN: 1611973643 | 294 pages | PDF | 59 MB
Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with MATLAB

Amir Beck, "Introduction to Nonlinear Optimization: Theory, Algorithms, and Applications with MATLAB"
2014 | ISBN-10: 1611973643 | 294 pages | Djvu | 5 MB
Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications (repost)

Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications by Zhening Li, Simai He and Shuzhong Zhang
English | 2012 | ISBN-10: 1461439833 | PDF | 132 pages | 3,9 MB

Polynomial optimization have been a hot research topic for the past few years and its applications range from Operations Research, biomedical engineering, investment science, to quantum mechanics, linear algebra, and signal processing, among many others.
Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications (repost)

Approximation Methods for Polynomial Optimization: Models, Algorithms, and Applications by Zhening Li, Simai He and Shuzhong Zhang
English | 2012 | ISBN-10: 1461439833 | PDF | 132 pages | 3,9 MB

Polynomial optimization have been a hot research topic for the past few years and its applications range from Operations Research, biomedical engineering, investment science, to quantum mechanics, linear algebra, and signal processing, among many others.