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Monte Carlo Methods And Stochastic Processes

Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear  eBooks & eLearning

Posted by roxul at Dec. 8, 2016
Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear

Emmanuel Gobet, "Monte-Carlo Methods and Stochastic Processes: From Linear to Non-Linear"
English | ISBN: 1498746225 | 2016 | 336 pages | EPUB | 25 MB

Monte Carlo Methods and Models in Finance and Insurance (repost)  eBooks & eLearning

Posted by libr at May 16, 2017
Monte Carlo Methods and Models in Finance and Insurance (repost)

Monte Carlo Methods and Models in Finance and Insurance by Ralf Korn, Elke Korn and Gerald Kroisandt
English | 2010 | ISBN: 1420076183 | 484 pages | PDF | 4 MB

Monte Carlo Methods and Applications  eBooks & eLearning

Posted by Grev27 at July 25, 2015
Monte Carlo Methods and Applications

Karl K. Sabelfeld, "Monte Carlo Methods and Applications"
English | ISBN: 3110293471 | 2012 | PDF | 233 pages | 8 MB

Monte Carlo Methods and Models in Finance and Insurance (repost)  eBooks & eLearning

Posted by interes at June 30, 2014
Monte Carlo Methods and Models in Finance and Insurance (repost)

Monte Carlo Methods and Models in Finance and Insurance by Ralf Korn, Elke Korn and Gerald Kroisandt
English | 2010 | ISBN: 1420076183 | 484 pages | PDF | 4 MB

Offering a unique balance between applications and calculations, Monte Carlo Methods and Models in Finance and Insurance incorporates the application background of finance and insurance with the theory and applications of Monte Carlo methods.

Monte Carlo Methods and Models in Finance and Insurance (repost)  eBooks & eLearning

Posted by arundhati at Sept. 22, 2013
Monte Carlo Methods and Models in Finance and Insurance (repost)

Ralf Korn, Elke Korn, Gerald Kroisandt, "Monte Carlo Methods and Models in Finance and Insurance"
2010 | ISBN: 1420076183 | 484 pages | PDF | 5 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 | 2013 | ISBN: 3642393624 | 264 pages | PDF | 2.07 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.
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.
Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation [Repost]

Carl Graham, ‎Denis Talay - Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation
Published: 2013-07-29 | ISBN: 3642393624 | PDF | 264 pages | 3 MB
Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation

Carl Graham, Denis Talay, "Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation"
English | ISBN: 3642393624 | 2013 | 264 pages | PDF | 3 MB