Monte Carlo Risk Analysis

Marcus Miller - A Night In Monte-Carlo (2010) {Dreyfus}  Music

Posted by tiburon at April 26, 2018
Marcus Miller - A Night In Monte-Carlo (2010) {Dreyfus}

Marcus Miller - A Night In Monte-Carlo (2010) {Dreyfus}
EAC 0.99pb4 | FLAC tracks level 8 | Cue+Log+M3U | Full Scans 600dpi | 472MB + 5% Recovery
MP3 CBR 320 Kbps | 145MB + 5% Recovery
Genre: Jazz-Funk, Fusion

Had Marcus Miller chosen a more fusion-centric path, it's quite possible that he would have become as iconic among fusion heads as Jaco Pastorius or Miroslav Vitous. Miller certainly knows his way around his electric bass, and he probably would have been a great addition to Return to Forever if Stanley Clarke had been unavailable for their 2008 reunion tour and Chick Corea had offered him the gig. But that is speculation, of course. What we can say with certainty is that being hell-bent for fusion is not the path chosen by the highly eclectic, broad-minded Miller, who is as well known for his work with Luther Vandross and for co-writing E.U.'s 1988 funk/go-go hit "Da Butt" as he is for the composing, producing, and playing he did on Miles Davis' Tutu and Amandla albums in the ‘80s.

Simulation and the Monte Carlo Method  eBooks & eLearning

Posted by tarantoga at March 12, 2018
Simulation and the Monte Carlo Method

Dirk P. Kroese, Reuven Y. Rubinstein, "Simulation and the Monte Carlo Method, 3rd Edition"
ISBN: 1118632168 | 2013 | EPUB | 432 pages | 54 MB

Project Risk Analysis Made Ridiculously Simple  eBooks & eLearning

Posted by Underaglassmoon at Feb. 1, 2018
Project Risk Analysis Made Ridiculously Simple

Project Risk Analysis Made Ridiculously Simple
World Scientific | English | 2017 | ISBN-10: 9814759376 | 284 pages | PDF | 20.87 mb

by Lev Virine (Author),‎ Michael Trumper (Author)
The Monte Carlo Simulation Method for System Reliability and Risk Analysis (repost)

The Monte Carlo Simulation Method for System Reliability and Risk Analysis (Springer Series in Reliability Engineering) by Enrico Zio
English | 2 Nov. 2012 | ISBN: 1447145879 | 214 Pages | PDF | 5.34 MB

Monte Carlo simulation is one of the best tools for performing realistic analysis of complex systems as it allows most of the limiting assumptions on system behavior to be relaxed.
Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation (repost)

Stochastic Simulation and Monte Carlo Methods: Mathematical Foundations of Stochastic Simulation (Stochastic Modelling and Applied Probability) by Carl Graham
English | 29 July 2013 | ISBN: 3642393624 | 278 Pages | PDF | 2.24 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,
The Man Who Broke the Bank at Monte Carlo: Charles Deville Wells, Gambler and Fraudster Extraordinaire

Robin Quinn, "The Man Who Broke the Bank at Monte Carlo: Charles Deville Wells, Gambler and Fraudster Extraordinaire"
ISBN: 0750961775 | 2016 | EPUB | 288 pages | 8 MB

Risk Analysis of Complex and Uncertain Systems  eBooks & eLearning

Posted by DZ123 at April 18, 2018
Risk Analysis of Complex and Uncertain Systems

Louis Anthony Cox, "Risk Analysis of Complex and Uncertain Systems"
English | 2009 | ISBN: 0387890130, 1441947035 | PDF | pages: 453 | 2.6 mb
Risk Analysis of Natural Hazards: Interdisciplinary Challenges and Integrated Solutions

Paolo Gardoni and Colleen Murphy, "Risk Analysis of Natural Hazards: Interdisciplinary Challenges and Integrated Solutions"
English | ISBN: 3319221256 | 2016 | 320 pages | EPUB | 2 MB

Computational Materials Science: From Ab Initio to Monte Carlo Methods  eBooks & eLearning

Posted by AvaxGenius at April 14, 2018
Computational Materials Science: From Ab Initio to Monte Carlo Methods

Computational Materials Science: From Ab Initio to Monte Carlo Methods, Second Edition By Kaoru Ohno
English | PDF,EPUB | 2018 | 433 Pages | ISBN : 3662565404 | 16.75 MB

This textbook introduces modern techniques based on computer simulation to study materials science. It starts from first principles calculations enabling to calculate the physical and chemical properties by solving a many-body Schroedinger equation with Coulomb forces. For the exchange-correlation term, the local density approximation is usually applied. After the introduction of the first principles treatment, tight-binding and classical potential methods are briefly introduced to indicate how one can increase the number of atoms in the system.

Monte Carlo Simulation and Finance (Repost)  eBooks & eLearning

Posted by DZ123 at April 6, 2018
Monte Carlo Simulation and Finance (Repost)

Don L. McLeish, "Monte Carlo Simulation and Finance"
English | 2005 | ISBN: 0471677787 | PDF | pages: 402 | 3.3 mb