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Fast integrator of stochastic partial differential equations
XMDS is a code generator that integrates equations. You write them down in human readable form in a XML file, and it goes away and writes and compiles a C++ program that integrates those equations as fast as it can possibly be done in your architecture.
Build a mathematical model of a differential equation, using building blocks like integrator, addition, functions and output pens.
Chose an integration method: Euler, Trapez or Simpson.
Specify calculation parameter, like time step, end time etc.
Run the model and output the results as chart or as CSV file.
For example the Lorenz equations can be calculated in 3 000 000 integration steps in 63 seconds.
Please refer to the screenshots.
A multi-modeling and simulation environment to study complex systems
...The models can be developed with the DEVS formalism or with the classical mathematical formalism: Ordinary Differential Equation with Euler, Range-Kutta or QSS integrator, Finite state automaton (FDDEVS, UML State chart, Hybrid Petri net). The VLE environment provides an IDE to develop C++ models, DEVS coupled models. VLE have also three ports to use the VFL with Python, Java and R programming languages.
Libraries for integration of atmospheric trajectories. Includes a basic trajectory integrator, contour advection codes and semi-Lagrangian tracer simulations.
Auth0 Token Vault handles secure token storage, exchange, and refresh for external providers so you don't have to build it yourself.
Rolling your own OAuth token storage can be a security liability. Token Vault securely stores access and refresh tokens from federated providers and handles exchange and renewal automatically. Connected accounts, refresh exchange, and privileged worker flows included.
The Calculus project should include a derivator for multiple derivatives, and integrator for iterated integrals and other calculus features that I am not familiar with as of yet. This project is based on C (C++) and GNU bc.