Search Results for "ode"
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Showing 62 open source projects for "ode"
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TaylorIntegration.jl
ODE integration using Taylor's method, and more, in Julia
ODE integration using Taylor's method in Julia. -
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ProbNumDiffEq.jl
Probabilistic Numerical Differential Equation solvers via Bayesian fil
ProbNumDiffEq.jl provides probabilistic numerical ODE solvers to the DifferentialEquations.jl ecosystem. The implemented ODE filters solve differential equations via Bayesian filtering and smoothing. The filters compute not just a single point estimate of the true solution, but a posterior distribution that contains an estimate of its numerical approximation error. -
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Catalyst.jl
Chemical reaction network and systems biology interface
...Leveraging ModelingToolkit and Symbolics.jl, Catalyst enables large-scale simulations through auto-vectorization and parallelism. Symbolic ReactionSystems can be used to generate ModelingToolkit-based models, allowing the easy simulation and parameter estimation of mass action ODE models, Chemical Langevin SDE models, stochastic chemical kinetics jump process models, and more. Generated models can be used with solvers throughout the broader SciML ecosystem, including higher-level SciML packages (e.g. for sensitivity analysis, parameter estimation, machine learning applications, etc). -
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KrylovKit.jl
Krylov methods for linear problems, eigenvalues, and singular values
A Julia package collecting a number of Krylov-based algorithms for linear problems, singular value and eigenvalue problems and the application of functions of linear maps or operators to vectors. -
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OrdinaryDiffEq.jl
High performance ordinary differential equation (ODE)
This is a suite for numerically solving differential equations written in Julia and available for use in Julia, Python, and R. The purpose of this package is to supply efficient Julia implementations of solvers for various differential equations. The well-optimized DifferentialEquations solvers benchmark as some of the fastest implementations, using classic algorithms and ones from recent research that routinely outperform the “standard” C/Fortran methods, and include algorithms optimized... -
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CasADi
CasADi is a symbolic framework for numeric optimization
...These expression graphs, encapsulated in Function objects, can be evaluated in a virtual machine or exported to stand-alone C code. Initial value problems in ordinary or differential-algebraic equations (ODE/DAE) can be calculated using explicit or implicit Runge-Kutta methods or interfaces to IDAS/CVODES from the SUNDIALS suite. Derivatives are calculated using sensitivity equations, up to arbitrary order. -
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FreeWRL Revival for Mac Silicon
Modernized macOS (arm64) build of the FreeWRL VRML97/X3D browser
...The app is fully self-contained: Developer ID signed, hardened runtime, Apple notarized and stapled, and Gatekeeper verified — no Homebrew or external runtime required. It bundles FreeType, ODE (double precision), freealut and stb_image, and renders on Apple's OpenGL 4.1 Core profile using the OpenAL framework for audio. This is the FreeWRL 6.7 engine line, maintained by the Ascendance Open Worlds project. It is not the official upstream FreeWRL distribution. Canonical development: https://github.com/Ascendance3D/freewrl Downloads: https://sourceforge.net/projects/freewrl-mac-silicon/files/ -
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Matcha-TTS
A fast TTS architecture with conditional flow matching
Matcha-TTS is a non-autoregressive neural text-to-speech architecture that uses conditional flow matching to generate speech quickly while maintaining natural quality. It models speech as an ODE-based generative process, and conditional flow matching lets it reach high-quality audio in only a few synthesis steps, which greatly reduces latency compared to score-matching diffusion approaches. The model is fully probabilistic, so it can generate diverse realizations of the same text while still sounding stable and intelligible. ... -
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Minsky
System dynamics program with additional features for economics
Minsky brings system dynamics and monetary modelling to economics. Models are defined using flowcharts on a drawing canvas (as are Matlab's Simulink, Vensim, Stella, etc). Minsky's unique feature is the "Godley Table", which uses double entry bookkeeping to generate stock-flow consistent models of financial flows. Minsky is good for demonstrating mathematics too, with the most "math-like" interface in system dynamics. Sign up to Minsky's Patreon page (for as little as $1 a month) at... -
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DPM-Solver
Fast ODE Solver for Diffusion Probabilistic Model Sampling
DPM-Solver is a machine learning research implementation focused on accelerating the sampling process in diffusion probabilistic models used for generative AI tasks. Diffusion models are powerful generative systems capable of producing high-quality images and other data, but traditional sampling methods often require hundreds or thousands of computational steps. The project introduces a specialized numerical solver designed to approximate the diffusion process using a small number of... -
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ADiGator
A MATLAB Automatic Differentiation Tool
...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. -
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HBV interventions model
ODE HBV model and MCMC for fitting HBsAg, HBcAg and HBeAg data.
This code implements the MCMC and ordinary differential equation (ODE) model described in [1]. The core MCMC and ODE code is implemented in C/C++, and is wrapped with an R front end. This is not an R-package (although there are plans to extend the code and eventually make it into an R-package). Please read the PDF file supplied for further instructions on how to use this code. [1] HBV vaccination and PMTCT as elimination tools in the presence of HIV: insights from a clinical cohort and dynamic model https://bmcmedicine.biomedcentral.com/articles/10.1186/s12916-019-1269-x -
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...SciPy is package of tools for science and engineering for Python. It includes modules for statistics, optimization, integration, linear algebra, Fourier transforms, signal and image processing, ODE solvers, and more.
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...In this project, we develop a new way to describe these networks that minimises the combinatorial complexity and allows an automatic visualisation and export of mathematical (ODE/rulebased) models.
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Icarus Scene Engine
3D .NET engine for Windows, Linux, Mac
Icarus Scene Engine is a cross-platform, CLS-compliant 3D framework, integrating open source APIs into a cohesive all-open-source, all .NET solution. For Windows, MacOSX & Linux. Uses OpenTK, OpenGL, OpenAL APIs for graphics and audio. Runs on Mono/.NET. Links to FFMpeg for streaming video, and FreeType as a temporary conversion mod to bring fonts into a native XML format. Binary builds of Icarus will be infrequent, roughly every 18 months or so, the GIT code updates regularly on a... -
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Crystal Space is an Open Source 3D SDK for Unix, Windows, and MacOS/X. It renders with OpenGL and features GLSL shaders, CG shaders, deferred rendering, dynamic shadows, bullet based physics library, terrain engine, skeleton based animation meshes, exporter for Blender, portals, etc...
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This is a sophisticated & integrated simulation and analysis environment for dynamical systems models of physical systems (ODEs, DAEs, maps, and hybrid systems). It supports symbolic math, optimization, continuation, data analysis, biological apps...
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TIDES
Taylor series Integrator for Differential Equations
Taylor series Integrator for Differential EquationS. This software is developed by Profs. A. Abad, R. Barrio, F. Blesa and M. Rodriguez, (GME, University of Zaragoza, Spain). It consists on a C (Fortran) library, libTIDES, and a Mathematica package, MathTIDES. (MathTIDES requires Mathematica version >= 7.0) . Basic references: * A. Abad, R. Barrio, F. Blesa, M. Rodriguez, 2012. Algorithm 924: TIDES, a Taylor series Integrator for Differential EquationS, ACM TOMS. 39, no. 1, art. 5.... -
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This toolbox generates automatically a vtk-visualization for an ode (Open Dynamics Engine) simulation under Python. You only have to define the simulation space and world and forward these entities to the visualization. That's all... Install also via pip possible: pip install odeViz
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"Unified Modular System" is project primarily designed to create platform independent light-weighted modular applications like games but also GUI or service utilities supported. Application is gathered from unified modules as brick wall from brick.
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Open source 3D physics and dynamics engine and library written in pure Java. This is a Java port of ODE / OpenDE (Open Dynamics Engine). THIS PROJECT HAS BEEN MOVED TO A NEW LOCATION: http://www.ode4j.org
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compare-results
Program comparing Simulation Results for the SBML TestSuite
Compare SBML Test Suite Results =============================== The [SBML Testsuite](http://sbml.org/Facilities/Online_SBML_Test_Suite) allows developers of ODE based simulators to test their implementation against a large number of test cases that test a wide aspect of the [SBML Specifications](http://sbml.org/Documents/Specifications). While implementing my simulator [RoadRunner](http://roadrunner.sf.net) I wanted to be able to compare it using a wider range of parameters: - filter for new tests - filter for tests with specific tags - mark elements that I know I did not implement -
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Engine desenvolvida em C++ utilizando ODE (Open Dynamics Engine) e OpenGL, para desenvolvimento de jogos e pequenas simulações fisicas.
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simbTUM
Simulation of stochastic processes and ODE models in biology.
SIMulation of Biological systems (developed at the TU Munich) This program allows to define ODE-models or stochastic compartemental models of biological processes, to simulate, to fit data and to do some statistics (fitting and statistics for deterministic models only). -
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Processor Enhanced Recursive Dynamics
Processor Enhanced Robust Core Solver for Recursive Multibody Dynamics
...Gaussian Elimination with Complete Pivoting converts constraint Jacobian matrices and equations into Row-Reduced Echelon Form and partitions variables into Dependent/Independent sets. The constrained equations of motion are effectively converted from DAE to ODE form, allowing simple robust sparse factor and solve algorithms. Processors enhance and maintain most aspects of runtime algorithm performance, insuring continuous robust and efficient solutions. ANSI-C is the proposed programming language. Project administrator and programmers are needed. I will provide theoretical background, technical detail, and training once I learn how to use this website.
