Computational Adaptable Stochastic Simulator
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Updated
Nov 21, 2013 - Python
Computational Adaptable Stochastic Simulator
Older KeYmaera 3: A Hybrid Theorem Prover for Hybrid Systems
Solving Differential Equation with Euler's and Euler's Modified method.
Numerical Recipes
Code pertaining to the Hierarchical Preferential Attachment model.
Pricing derivatives using the explicit finite-difference method
Multivariable Calculus and Differential Equations
A numerical solver for differential equations with the ability to use Euler's, Improved Euler's, and Runge Kutta methods.
Appliying differential equations for modeling a learning curve over https://lichess.org/ users
Simple example of counting approximation by least squares using JavaFX
LAB : Multivariable Calculus and Differential Equations | MATLAB | 1 Credit
MES LShapedDomain, project for differential equations course at AGH UST
Solver for differential algebraic equations
My master thesis on the modelling of filter cake formation in filtration processes, involving computational fluid dynamics to describe the liquid in the system and an agent-based model to describe the movement of the dispersed particles
An ordinary differential equation solving library in golang.
Sample Python code for Euler's method, Runge-Kutta methods, and Bulirsch Stoeir method, and more
many numerical methods in one repo
MPI program written in python for solving partial differential equations
This repository is my codes for solving differential equation. The algorithm is used is 4th order Runge-Kutta and the eigenvalues are found out by shooting.
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