Search Results for "windows 11 optimization software"

NEW OPTIMIZATION TECHNOLOGY & PLANNING EXPERIMENT. Technology is designed for multidimensional optimization practical problems with continuous object functions. Technology higher efficiency than traditional optimization methods.

Optical design application geared to telescopes and other optical systems. Features include layout design, optimization, standard expected output, ability to import ZMX and LNS files

We have moved to GitHub: https://github.com/cadet The Chromatography Analysis and Design Toolkit (CADET) is developed at the Institute of Bio- and Geosciences 1 (IBG-1) under supervision of Prof. Eric von Lieres. The core of the CADET software is a fast and accurate solver for the General Rate Model (GRM) of packed bed liquid chromatography. The CADET solver covers a wide range of GRM variants, combining different transport and binding models with state-of-the-art mathematical algorithms...

Software for optimization of multi modal, multi dimensional functions based on SOMA algorithm. Program is implemented on top of hadoop, and is especially well suited for functions with high computational times because of its distributed nature.

Tailorshop: Optimization based Analysis and data Generation tOol. Support tool for the computer test scenario "Tailorshop" that is the basis for many psychological studies. Data can be generated, visualized, and provided to optimization solvers.

The Automatic Model Optimization Reference Implementation, AMORI, is a framework that integrates the modelling and the optimization processes by providing a plug-in interface for both. A genetic algorithm and Markov simulations are currently implemented.

OpenDiscreteDynamicProgrammingTemplate : founds optimal constrainted parameters of a discrete controls with second order optimization template replacing Hessian with directional derivatives and backpropagation for digital filter(as neural network)

Web-Service for discrete dynamic systems' model description and simulation. Firstly, recursive procedures of stochastic optimization are added. The framework for open and closed loop model description and simulation.