Equitable Resource Allocation: Models, Algorithms, And Applications

Equitable Resource Allocation: Models, Algorithms and Applications  eBooks & eLearning

Posted by ChrisRedfield at May 1, 2015
Equitable Resource Allocation: Models, Algorithms and Applications

Hanan Luss - Equitable Resource Allocation: Models, Algorithms and Applications
Published: 2012-10-09 | ISBN: 1118054687 | PDF | 376 pages | 2 MB

Handbook of Parallel Computing: Models, Algorithms and Applications (repost)  eBooks & eLearning

Posted by Willson at July 19, 2017
Handbook of Parallel Computing: Models, Algorithms and Applications (repost)

Sanguthevar Rajasekaran, John Reif, "Handbook of Parallel Computing: Models, Algorithms and Applications (Chapman & Hall/CRC Computer and Information Science Series) "
English | 2007 | ISBN: 1584886234 | 1224 pages | PDF | 10.5 MB

Large-Scale Simulation: Models, Algorithms, and Applications (Repost)  eBooks & eLearning

Posted by step778 at Feb. 28, 2017
Large-Scale Simulation: Models, Algorithms, and Applications (Repost)

Dan Chen, Lizhe Wang, Jingying Chen, "Large-Scale Simulation: Models, Algorithms, and Applications"
2012 | pages: 256 | ISBN: 1439868867 | PDF | 4,0 mb

High Speed Railway Track Dynamics: Models, Algorithms and Applications  eBooks & eLearning

Posted by readerXXI at Nov. 3, 2016
High Speed Railway Track Dynamics: Models, Algorithms and Applications

High Speed Railway Track Dynamics: Models, Algorithms and Applications
by Xiaoyan Lei
English | 2017 | ISBN: 981102037X | 431 Pages | True PDF | 17.4 MB

This book systematically summarizes the latest research findings on high-speed railway track dynamics, made by the author and his research team over the past decade.

High Speed Railway Track Dynamics: Models, Algorithms and Applications  eBooks & eLearning

Posted by arundhati at Oct. 15, 2016
High Speed Railway Track Dynamics: Models, Algorithms and Applications

Xiaoyan Lei, "High Speed Railway Track Dynamics: Models, Algorithms and Applications"
2016 | ISBN-10: 981102037X | 414 pages | PDF | 18 MB

Large-Scale Simulation: Models, Algorithms, and Applications (repost)  eBooks & eLearning

Posted by interes at March 2, 2015
Large-Scale Simulation: Models, Algorithms, and Applications (repost)

Large-Scale Simulation: Models, Algorithms, and Applications by Dan Chen and Lizhe Wang
English | 2012 | ISBN: 1439868867 | 259 pages | PDF | 4 MB

Link Mining: Models, Algorithms, and Applications (repost)  eBooks & eLearning

Posted by interes at Feb. 24, 2015
Link Mining: Models, Algorithms, and Applications (repost)

Link Mining: Models, Algorithms, and Applications by Philip S. Yu, Jiawei Han and Christos Faloutsos
English | 2010 | ISBN: 1441965149 | 600 pages | PDF | 10,3 MB

Markov Chains: Models, Algorithms and Applications by Michael K. Ng  eBooks & eLearning

Posted by tanas.olesya at Dec. 22, 2014
Markov Chains: Models, Algorithms and Applications by Michael K. Ng

Markov Chains: Models, Algorithms and Applications (International Series in Operations Research & Management Science) by Michael K. Ng
English | December 5, 2005 | ISBN: 0387293353 | 222 Pages | PDF | 1 MB

Markov chains are a particularly powerful and widely used tool for analyzing a variety of stochastic (probabilistic) systems over time. This monograph will present a series of Markov models, starting from the basic models and then building up to higher-order models.

Markov Chains: Models, Algorithms and Applications, 2nd edition (repost)  eBooks & eLearning

Posted by interes at Nov. 25, 2014
Markov Chains: Models, Algorithms and Applications, 2nd edition (repost)

Markov Chains: Models, Algorithms and Applications, 2nd edition by Wai-Ki Ching, Ximin Huang, Michael K. Ng and Tak Kuen Siu
English | 2013 | ISBN-10: 1461463114 | 260 pages | PDF | 2 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.