Search Results for "compute"

Se tienen las funciones que determinan las componentes principales (PCA) e independientes (ICA). Se tienen también ejemplos de aplicación para cada caso (tutorial para PCA, transformada de Hotelling, y comparación entre PCA e ICA "problema del coctail").

...These groups will be perturbed by varying their positions relative to the rest of the system (rigid-body-motions) and/or by adding Zernike shape deformations on their front surface. After a certain perturbation is applied, ZOS runs (sequential) raytracing to compute the optical performance such as centroid displacement or wavefront error.

...Given a user written file, together with information on the inputs of said file, ADiGator uses forward mode automatic differentiation to generate a new file which contains the calculations required to compute the numeric derivatives of the original user function. Furthermore, these calculations are written entirely in the native MATLAB language, and thus the process may be repeated to obtain nth order derivative files. The package is particularly appealing for applications where the same derivative must be found at multiple different points, i.e. non-linear root finding/optimization, stiff ode integration, etc.

Modal Interferometer Simulation Tool (MIST) is a MATLAB toolbox that can simulate arbitrary resonant optical systems in the paraxial beam approximation. It allows the user to define any optical setup (composed typically of laser sources, mirrors, lenses, electro-optical modulators and detectors) and to compute the static laser field at any point. It uses a Hermite-Gauss modal decomposition to simulate diffraction limited optics. This tool is being developed mainly for simulation of large scale interferometers with resonant cavities used for the detection of gravitational waves. Subscribe to the mailing list for updates and news. ...

A MATLAB package to simulate sample paths of the solution of a Itô or Stratonovich stochastic differential equation (SDE), compute statistics and estimate the parameters from data. A note of caution: SDE Toolbox is no more developed but it's still downloadable. Its inferential capabilities can be considered surpassed (at best). Actually the parameter estimation methods were already far from the state-of-art when the project began in 2007 (!). The considered implemented parametric and non-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. ...