Carlo Rubini

Project Risk Analysis is for Cost Engineering and Project Management pros who must develop cost estimates of known accuracy and risk on capital investment projects. Uses Monte Carlo Simulation to find the contingency needed to achieve any desired level of confidence. All statistical models are...

When planning and saving for retirement, investors are confronted with a variety of investment choices, ranging from the very safe to very aggressive. There are 100s of Monte Carlo simulators and calculators to assist retirees in projecting a so-called "safe withdrawal rate" (SWR) from their...

A Monte Carlo Micro Black Hole event generator for Particle Physics.


Platforms: Windows, Mac, Linux

Inyo is a Monte Carlo-based global illumination renderer written in Java.


Platforms: Windows, Mac, Linux

This library is a Java port from the libFooID audio fingerprinting library created by Gian-Carlo Pascutto. The fingerprint captures how the audio is perceived by an audience so it can e.g. be used in a database to retrieve metatags of a track.


Platforms: Mac

Photonics is a photon tracking Monte Carlo package, which calculates photon flux and time distributions in a heterogeneous medium surrounding a light source. The propagation medium and detector and light sources are highly customizable.


Platforms: Mac, BSD, Linux

The Metropolis-Hastings Sampler is the most common Markov-Chain-Monte-Carlo (MCMC) algorithm used to sample from arbitrary probability density functions (PDF). Suppose you want to simulate samples from a random variable which can be described by an arbitrary PDF, i.e., any function which...


Platforms: Windows, Mac, *nix, Python, BSD Solaris

HapCluster is a software package for linkage disequilibrium mapping.It is based on a Bayesian Markov-chain Monte Carlo (MCMC) method for fine-scale linkage-disequilibrium gene mapping using high-density marker maps.


Platforms: C and C plus plus

The MATLAB program simulates binary frequency shift keying (BFSK) at baseband through Monte Carlo method. The goal is to simulate bit error rate (BER) over an additive white Gaussian noise (AWGN) channel. For realizing that, the effect of noise is represented in the baseband with Gaussian random...


Platforms: Matlab

The MATLAB program simulates binary phase shift keying (BPSK) at baseband through Monte Carlo method. The goal is to simulate bit error rate (BER) over an additive white Gaussian noise (AWGN) channel. For realizing that, the effect of noise is represented in the baseband with Gaussian random...


Platforms: Matlab

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

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

In Evolutionary Multiobjective Optimization (EMO), an algorithm produces a set of points in the performance space as an estimation of the Pareto front. A quantitive measure is desired to estimate the closeness of the estimated data points to the true Pareto front.One of such measures is the...


Platforms: Matlab

Revised from Dr. Wang Lihong's MCML. Tested ok on windowsXP+Matlab7.0. Performes about 30% to 40% faster than MCML.Beta version 1.01.qiang.2@osu.edu


Platforms: Matlab

Introduction----------------This code simulates commodity spot prices using the Clewlow and Strickland one factor daily spot model using a Monte Carlo approach. The derived stochastic differential equations (SDEs) are solved using several finite difference schemes.The paper detailing the...


Platforms: Matlab

The Hardy Weinberg equilibrium is a fundamental law in genetic.This function was deeply rewrited.If a locus is biallelic the function use the exact Hardy Weinberg test (similar to Fisher exact test) analyzing all possible tables. If you download TERNPLOT functions (ID:2299) the function plots a...


Platforms: Matlab

Simulates the wall effect in a gaseous thermal neutron detector with a gaseous neutron converter (He-3) using the Monte Carlo method. Based on the gap thickness (in m) and the partial pressure of helium-3 (in bar), this program computes the fraction of events that suffers to some extent from the...


Platforms: Matlab

A Zip file containing the examples that were used in the MathWorks webinar: "Pricing Derivatives Securities using MATLAB".Highlights:* Pricing a portfolio of vanilla options using Black-Scholes, a Binomial Tree and Monte Carlo simulation.* Pricing exotic options using the implied trinomial tree...


Platforms: Matlab

Compute European call option price using the Heston model and a conditional Monte-Carlo method [call_prices, std_errs] = Heston(S0, r, V0, eta, theta, kappa, strike, T, M, N)*******************************************************************************INPUTS: S0 - Current price of the underlying...


Platforms: Matlab

This GUI accepts the various constants needed to run a Black-Scholes calculation for pricing several European options:Put, Call, Straddle, Strangle, Bull Spread, Bear Spread, ButterflyIt plots the pricing surface for the appropriate option and then runs a number of Monte Carlo simulations (d


Platforms: Matlab