Stochastic Simulation Methods

Advances in Stochastic Simulation Methods  eBooks & eLearning

Posted by arundhati at April 21, 2015
Advances in Stochastic Simulation Methods

N. Balakrishnan, V.B. Melas, "Advances in Stochastic Simulation Methods"
2012 ( repr. 2000) | ISBN-10: 146127091X, 0817641076 | 418 pages | PDF | 14 MB

Stochastic Simulation: Algorithms and Analysis  eBooks & eLearning

Posted by tanas.olesya at April 18, 2016
Stochastic Simulation: Algorithms and Analysis

Stochastic Simulation: Algorithms and Analysis (Stochastic Modelling and Applied Probability) by Soren Asmussen
English | 27 July 2007 | ISBN: 038730679X | 488 Pages | PDF | 7 MB

Sampling-based computational methods have become a fundamental part of the numerical toolset of practitioners and researchers across an enormous number of different applied domains and academic disciplines.
Reliability Assessment of Electric Power Systems Using Monte Carlo Methods Softcover reprint of the original

Reliability Assessment of Electric Power Systems Using Monte Carlo Methods Softcover reprint of the original
by Billinton, W. Li
English | 2013 | ISBN: 1489913483 | 352 pages | PDF | 8.75 MB

Molecular Dynamics: With Deterministic and Stochastic Numerical Methods (repost)  eBooks & eLearning

Posted by interes at June 19, 2015
Molecular Dynamics: With Deterministic and Stochastic Numerical Methods (repost)

Molecular Dynamics: With Deterministic and Stochastic Numerical Methods (Interdisciplinary Applied Mathematics) by Ben Leimkuhler and Charles Matthews
English | 2015 | ISBN-10: 3319163744 | 443 pages | pdf | 11,8 mb
Stochastic Optimization Methods: Applications in Engineering and Operations Research (Repost)

Kurt Marti, "Stochastic Optimization Methods: Applications in Engineering and Operations Research"
English | ISBN: 3662462133 | 2015 | 368 pages | PDF | 4 MB

Foundations and Methods of Stochastic Simulation: A First Course (repost)  eBooks & eLearning

Posted by interes at Nov. 25, 2014
Foundations and Methods of Stochastic Simulation: A First Course (repost)

Foundations and Methods of Stochastic Simulation: A First Course (International Series in Operations Research & Management Science) by Barry Nelson
English | ISBN: 1461461596 | 2013 | PDF | 284 pages | 1,7 MB

This graduate-level text covers modeling, programming and analysis of simulation experiments and provides a rigorous treatment of the foundations of simulation and why it works.
Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation (repost)

Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation by Carl Graham and Denis Talay
English | ISBN: 3642393624 | 2013 | 264 pages | PDF | 2 MB

In various scientific and industrial fields, stochastic simulations are taking on a new importance. This is due to the increasing power of computers and practitioners’ aim to simulate more and more complex systems, and thus use random parameters as well as random noises to model the parametric uncertainties and the lack of knowledge on the physics of these systems.

Foundations and Methods of Stochastic Simulation: A First Course (repost)  eBooks & eLearning

Posted by interes at Aug. 2, 2014
Foundations and Methods of Stochastic Simulation: A First Course (repost)

Foundations and Methods of Stochastic Simulation: A First Course (International Series in Operations Research & Management Science) by Barry Nelson
English | ISBN: 1461461596 | 2013 | PDF | 284 pages | 1,7 MB

This graduate-level text covers modeling, programming and analysis of simulation experiments and provides a rigorous treatment of the foundations of simulation and why it works.

Stochastic Numerical Methods: An Introduction for Students and Scientists  eBooks & eLearning

Posted by roxul at July 4, 2014
Stochastic Numerical Methods: An Introduction for Students and Scientists

Raúl Toral and Pere Colet, "Stochastic Numerical Methods: An Introduction for Students and Scientists"
English | ISBN: 3527411496 | 2014 | 416 pages | PDF | 4 MB
Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation (repost)

Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation by Carl Graham and Denis Talay
English | ISBN: 3642393624 | 2013 | 264 pages | PDF | 2 MB

In various scientific and industrial fields, stochastic simulations are taking on a new importance. This is due to the increasing power of computers and practitioners’ aim to simulate more and more complex systems, and thus use random parameters as well as random noises to model the parametric uncertainties and the lack of knowledge on the physics of these systems.