Monte Carlo Matlab

Numerical Methods: Design, Analysis, and Computer Implementation of Algorithms (repost)

Numerical Methods: Design, Analysis, and Computer Implementation of Algorithms by Anne Greenbaum and Timothy P. Chartier
English | 2012 | ISBN: 0691151229 | 472 pages | PDF | 9,5 MB

Numerical Methods: Design, Analysis, and Computer Implementation of Algorithms  eBooks & eLearning

Posted by roxul at April 6, 2022
Numerical Methods: Design, Analysis, and Computer Implementation of Algorithms

Anne Greenbaum, "Numerical Methods: Design, Analysis, and Computer Implementation of Algorithms"
English | ISBN: 0691151229 | 2012 | 464 pages | EPUB | 9 MB

Numerical Methods: Design, Analysis, and Computer Implementation of Algorithms  eBooks & eLearning

Posted by interes at June 1, 2014
Numerical Methods: Design, Analysis, and Computer Implementation of Algorithms

Numerical Methods: Design, Analysis, and Computer Implementation of Algorithms by Anne Greenbaum and Timothy P. Chartier
English | 2012 | ISBN: 0691151229 | 472 pages | EPUB | 9,5 MB

Numerical Methods provides a clear and concise exploration of standard numerical analysis topics, as well as nontraditional ones, including mathematical modeling, Monte Carlo methods, Markov chains, and fractals.

Quant Finance Essentials  eBooks & eLearning

Posted by ELK1nG at Dec. 30, 2022
Quant Finance Essentials

Quant Finance Essentials
Last updated 10/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 938.05 MB | Duration: 2h 19m

Quantitative Finance, using programming, step - by step !

Probability and Statistics for Computer Scientists, Second Edition (repost)  eBooks & eLearning

Posted by interes at Dec. 13, 2016
Probability and Statistics for Computer Scientists, Second Edition (repost)

Probability and Statistics for Computer Scientists, Second Edition by Michael Baron
English | 2013 | ISBN: 1439875901 | 473 pages | PDF | 15 MB

Probability and Statistics for Computer Scientists, Second Edition (repost)  eBooks & eLearning

Posted by interes at May 4, 2019
Probability and Statistics for Computer Scientists, Second Edition (repost)

Probability and Statistics for Computer Scientists, Second Edition by Michael Baron
English | 2013 | ISBN: 1439875901 | 473 pages | PDF | 15 MB

Probability and Statistics for Computer Scientists, Second Edition  eBooks & eLearning

Posted by ksveta6 at Aug. 21, 2014
Probability and Statistics for Computer Scientists, Second Edition

Probability and Statistics for Computer Scientists, Second Edition by Michael Baron
2013 | ISBN: 1439875901 | English | 473 pages | PDF | 15 MB

"Finite Element Methods Applications" ed. by Mahboub Baccouch  eBooks & eLearning

Posted by exLib at Nov. 19, 2021
"Finite Element Methods Applications" ed. by Mahboub Baccouch

"Finite Element Methods Applications" ed. by Mahboub Baccouch
ITexLi | 2021 | ISBN: 183962342X 9781839623424 1839623411 9781839623417 183962356X 9781839623561 | 297 pages | PDF | 21 MB

This book provides several applications of the finite element method (FEM) for solving real-world problems. This book describes the development of FEM and discusses and illustrates its specific applications.

Engineering optimization: An introduction with metaheuristic applications  eBooks & eLearning

Posted by insetes at July 15, 2019
Engineering optimization: An introduction with metaheuristic applications

Engineering optimization: An introduction with metaheuristic applications By Yang X.-S.
2010 | 378 Pages | ISBN: 0470582464 | DJVU | 3 MB

Engineering Optimization: An Introduction with Metaheuristic Applications  eBooks & eLearning

Posted by AvaxGenius at Oct. 10, 2022
Engineering Optimization: An Introduction with Metaheuristic Applications

Engineering Optimization: An Introduction with Metaheuristic Applications by Xin-She Yang
English | PDF | 2010 | 358 Pages | ISBN : 0470582464 | 27.85 MB

An accessible introduction to metaheuristics and optimization, featuring powerful and modern algorithms for application across engineering and the sciences From engineering and computer science to economics and management science, optimization is a core component for problem solving. Highlighting the latest developments that have evolved in recent years, Engineering Optimization: An Introduction with Metaheuristic Applications outlines popular metaheuristic algorithms and equips readers with the skills needed to apply these techniques to their own optimization problems. With insightful examples from various fields of study, the author highlights key concepts and techniques for the successful application of commonly-used metaheuristc algorithms, including simulated annealing, particle swarm optimization, harmony search, and genetic algorithms.