Monte Carlo Simulatin

Prepare for any casino visit or just have fun mastering the world's favorite table game in Blackjack World Pro. Six beautiful casinos have been included: Las Vegas Strip, Las Vegas Downtown, Reno, Atlantic City, Monte Carlo, and Macao. Alternatively, buil

Indigo Renderer is a 3D rendering software that uses unbiased rendering technologies to create photo-realistic images. In doing so, Indigo uses equations that simulate the behavior of light, with no approximations or guesses taken. By accurately simulating all the interactions of light, Indigo is...

Indigo Renderer is a 3D rendering software that uses unbiased rendering technologies to create photo-realistic images. In doing so, Indigo uses equations that simulate the behavior of light, with no approximations or guesses taken. By accurately simulating all the interactions of light, Indigo is...


Platforms: Windows

RiskyProject Lite is project management software with integrated risk analysis. RiskyProject allows project managers to perform project planning, scheduling, quantitative risk analysis, and performance measurement of projects with multiple risks and uncertainties. RiskyProject Lite is designed...


Platforms: Windows

The QuantLib project is aimed at providing a comprehensive software framework for quantitative finance. QuantLib is a free/open-source library for modeling, trading, and risk management in real-life. QuantLib is written in C++ with a clean object model, and is then exported to different...


Platforms: Windows, Mac, *nix, C/C++, BSD Solaris

ALAMOUTI performs Monte-Carlo simulation and estimates Bit Error Rate (BER) of Alamouti Scheme [1] over Rayleigh channel. The scheme presumes 2 transmit (Tx) and arbitrary number of receive (Rx) elements. If Rx=1 (one receive element) the ALAMOUTI is transformed to the order 2 transmit diversity...


Platforms: Matlab

Numerical integration with Monte Carlo method (on FPGA chip).Requirements:- Matlab/Simulink- Diamond IDE (3L)- FPGA Xilinx VIrtex II (SMT8036E) http://www.sundance.com/web/files/static.asp?pagename=uni_offer_1)- Visual Studio (Optional)- Xilinx System Generator (Recommended)- Xilinx ISE...


Platforms: Matlab

This practical function provides a tool for quickly including a random process within a Monte Carlo Simulation framework.The main input argument, is a string containing commands in Matlab syntax. Each execution of such string is an instance of a random process. The function expressionMCSsamples...


Platforms: Matlab

The bootstrap is a way of estimating the variability of a statistic from a single data set by resampling it independently and with equal probabilities (Monte Carlo resampling). Allows the estimation of measures where the underlying distribution is unknown or where sample sizes are small. Their...


Platforms: Matlab

A collection of M-Files that provide a succesful implementation of the difficult problem of numerical computation of multivariate normal probabilities. This is very useful for the distributed detection with nuisance parameters and in classical multivariate problems. Two methods are used for which...


Platforms: Matlab

An enhancement of the successful Consideo Modeler. It's the first easy to use tool to run scenarios (System Dynamics) on constraints (ToC) and the critical chain of processes and projects. Connect to MS-Project, Excel or SQL, create management cockpits, identify risks and levers, non linear...


Platforms: Mac

Have you ever wondered how much income you could reliably maintain from your investments and wished that you could have a practice run? The Practice Navigator allows you to do just that. It simulates real-life stock market variability so that you can practice making investment decisions without...


Platforms: Windows

1 Introduction This toolbox implements all the routine PLS-related/based algorithms which kind of serves as the basics in chemometrics, including PLS calibration and prediction, leave one out cross validation (LOOCV), K-fold cross validation, Monte Carlo cross validation(MCCV), double cross...


Platforms: Matlab

PokerCruncher surpasses even PokerStove's features, e.g. range equity breakdown heat maps and hand combos stats. Full grid of all 169 starting hands, top x% of hands slider, extensive built-in hand ranges, save/load/export hand ranges, ???*A* Hand histograms, flop hit stats, odds for flopping...


Platforms: Mac

MCX is a Monte Carlo simulation software for static or time-resolved photon transport in 3D media. It uses GPU-based massively parallel computing techniques and is extremely fast compared to the traditional single-threaded CPU-based simulations.


Platforms: Windows, Mac, Linux

The solution of the nearest correlation matrix applies the hypershpere or spectral decomposition methods as outlined in Monte Carlo methods in Finance by Peter Jackel, Chapter 6.Use CorrelationExample.m that applies a simple example for the two cases.


Platforms: Matlab

This toolbox is a fully object-oriented toolbox with a GUI for Bayesian Wavelet Networks. It is easy to use.The training method is used here is one of powerfull, off-line training algorithm, called Hybrid Markov Chain Monte Carlo- based Bayesian Approach.Also, You can easily add your own function...


Platforms: Matlab

To calculate an area S(A) of a figure A, bounded by a Jordan curve (which in our case is constructed by a cubic splineapproximation) the Monte Carlo method is applied


Platforms: Matlab

Simulation model to accompany the article, "Monte-Carlo Simulation in MATLAB Using Copulas" in the November 2003 issue of MATLAB News&Notes. The function METAPOP runs the metapopulation simulation model described in the article.MATLABdlT«'s Statistics Toolboxd-OC?D? includes a variety of...


Platforms: Matlab

Applying the inverse transform method to the normal distribution entails evaluation of the inverse normal. This is the Beasley-Springer-Moro algorithm for approximating the inverse normal.Input: u, a sacalar or matrix with elements between 0 and 1Output: x, an approximation for the inverse normal...


Platforms: Matlab