Search Results for "art"

...With a very easy-to-use GUI, anyone is now able to quickly set up and perform large scale dynamical and complex engineering physics simulations, with coupled fluid flow, heat transfer, structural mechanics, chemical transport, and electromagnetics effects, without having to learn complex programming. In addition to built-in CAD and pre/post-processing, automatic mesh generation, and multi-physics solvers, FEATool also seamlessly integrates the state-of-the-art OpenFOAM [1], SU2, and FEniCS CFD and FEA solvers. Moreover, native itegration with MATLAB and Python allows advanced simulation scripts and programmatic use cases such as in AI and machine learning [2]. [1]: https://www.featool.com/Easy-to-Use-OpenFOAM-GUI/ [2]: https://featool.com/model-showcase/2024-11-12-CFD-and-Flow-Prediction-Based-on-Deep-Learning

ART is a flexible simulation framework for wind instruments. It includes a growing library of modelling elements. So far bore discontinuities, branches, tone holes, cylindrical and conical tubes, Bessel horns and bent tubes are available for frequency domain modelling. In the time domain generic bidirectional propagation elements, scattering elements, fractional delays, convolution with reflection functions and general z-domain networks are available and can be described using MuParserX expressions. ...

RoadRunner represents a state-of-the-art simulation library for SBML models. It is fast, portable and accurate. This projects hosts the library and tools using the library.

Development of new data assimilation techniques for ocean models

Rejection-based stochastic simulation algorithm (RSSA) is an efficient exact algorithm for doing stochastic simulation of biochemical reaction systems. RSSA improves over state of the art of stochastic simulations by avoiding and collapsing as much the number of propensity updates.

...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 and scientific computing techniques. The CADET framework also comprises a MATLAB interface and standard routines for parameter estimation, process optimization and experimental design. CADET is freely distributed as a contribution to the scientific community. If you find it useful for your own work, we would appreciate acknowledgements of the CADET software and citations of our papers: http://doi.org/10.1016/j.compchemeng.2010.03.008 http://doi.org/10.1016/j.compchemeng.2018.02.025

...Written in the C programming language: although the code is 30 pages long, it's simple. Trailer can be detouched pressming 'l' (minuscle ELL) so to drive a normal car. There's an OpenGL version too: see the CTruck3D _Open,and an ASCII-Art ver (Term_ CTruck3D). This is also a good dydactical software: code is easy to undersand,and drawing procedures and physics sim procedure are written from 0 so it's clearly understandable how a complete 3D game is done in C, starting from a blank page of any plain text editor.Only basic knowledge of C was used. VID: http://youtu.be/n_O-9EFW5zk Lagrande_Rally_3D is an evolution of this

ViennaFEM is a library-centric implementation of the finite element method in C++. It features a symbolic math kernel, which manipulates the strong or weak form of the problem and automatically derives the discrete form. ViennaFEM is built on top of the following libraries: ViennaMath provides the symbolic math kernel, ViennaGrid (with ViennaData) allows for a generic grid handling and quantity storage, while ViennaCL provides the linear solvers and GPU acceleration.

Tina's Random Number Generator Library (TRNG) is a state of the art C++ pseudo-random number generator library for sequential and parallel Monte Carlo simulations.

The ART testbed program allows researchers to compare their work from a practical point of view in the modelling of trust in agent societies.

...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. 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.