Search Results for "monte carlo plot matlab"

MCX is a GPU-accelerated, general-purpose, physically-accurate and feature-rich 3-D light transport simulator. It is one of the fastest simulators because it can use tens of thousands of GPU threads to simulate photons in parallel.

Blueprint XAS is a Matlab-based suite designed for the processing and analysis of near-edge x-ray absorption spectroscopy (XAS) data. The suite is designed primarily to assist users in exploring reasonable fit solutions while minimizing user bias.

... of estimation commands that incorporate Monte Carlo data simulation, linear covariance analysis, and measurement processing at a generic level.

LIPRAS v466 LIPRAS [LEEP-ruhs], short for Line-Profile Analysis Software, is a graphical user interface for least-squares fitting of Bragg peaks in powder diffraction data. For any region of the inputted data, user can choose which profile functions to apply to the fit, constrain profile functions, and view the resulting fit in terms of the profile functions chosen. If you use LIPRAS for your research, please cite it: Giovanni Esteves, Klarissa Ramos, Chris M. Fancher, and Jacob L....

ICE is a simple mathematical calculator with very useful shortcuts for Engineer: works natively with tolerance, can run Monte Carlo analysis, uses engineer notation, includes most of the day by day functions used by engineers.

.... For uncertainties budgeting, EDMFit makes use of Monte-Carlo simulations and supports different distribution function: - Uniform distribution, - Triangular distribution and - Gaussian (normal) distribution. For refractive index determination, the application supports the following models: - Barrel and Sears (1939), - Edlen (1953, 1966), - Owens (1967), - IAG (1999) and - Ciddor (1996, 2002). The results of the adjustment are reported in a template-based and valid HTML5/CSS3 report.

.... The convergence analysis provides a stability bound for the adaptation step-size. Monte Carlo simulations can be performed to illustrate the accuracy of the model, which can then used to provide design guidelines. Application of the new model confirms previous experimental findings that the same cancellation performance of a single-microphone AEC can be achieved with a shorter AEC when the possibility of spatial filtering is available.

SPSens is a complete software package written in C that estimates parameter sensitivities for stochastic models of chemical and biochemical reaction networks using Monte Carlo (MC) stochastic simulations. It is possible to estimate sensitivities with respect to system parameters using the following algorithms: finite difference methods (crude monte carlo, common reaction path, coupled finite differences); likelihood ratio methods; and regularized pathwise derivatives. Additionally the package...

Simulate the optical reflectance from an infinite turbid medium under an ideal oblique incidence optical source. Two versions are implemented: CPU and GPU. They both generate statistically the same results but GPU version works much faster.

RandTree is a MatLab based tree simulator program where the algorithm is based on Honda's model. We have used probabilistic generation of branches in order to simulate visually realistic tree structures. This program is designed to generate branching structures with bifurcation branching pattern (sympodial branching). By changing the probabilities and branching angles, you can generate different shapes of trees.

Portfolio Optimizer Software. Automatically calculates the best asset combination for a given portfolio, expected return, risk and Sharpe ratio. Performs Monte Carlo simulation of thousands of different portfolios.

A similarity-free approach to compare the diversity of environmental viral communities

Matlab toolbox for Markov Chain Monte Carlo. Includes interfaces for storing and retrieving trace and run information.

Source code for the paper J. Keiner and B. Waterhouse. Fast Principal Components Analysis method for finance problems with unequal time steps. In P. L'Ecuyer and A. B. Owen, editors, Monte Carlo and Quasi-Monte Carlo Methods 2008, Springer Verlag, 2010

...-parametric Monte Carlo likelihood methods were chosen for their ability to treat both one-dimensional and multivariate SDE systems, although the quality of the inferential results can't match those obtained using more advanced techniques. Nevertheless the toolbox capabilities to simulate numerical solutions of SDE systems are still valid and can serve as a useful starting point to those willing to simulate stochastic dynamical models easily.