Topic: runge-kutta Goto Github
Some thing interesting about runge-kutta
Some thing interesting about runge-kutta
runge-kutta,Fully customizable/interactable pendulum simulation with 3 PDE methods and an ability to use none of them. Comes with a GUI; Is easily generalizable. PDE-s derived from MatLab.
User: a1k28
runge-kutta,Flight mechanics atmospheric reentry study for ballistic capsules and lifting vehicles
User: alexis-leon-delgado
runge-kutta,The optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers. Most of these cliché methods mimic animals' searching trends and possess a small contribution to the optimization process itself. Most of these cliché methods suffer from the locally efficient performance, biased verification methods on easy problems, and high similarity between their components' interactions. This study attempts to go beyond the traps of metaphors and introduce a novel metaphor-free population-based optimization based on the mathematical foundations and ideas of the Runge Kutta (RK) method widely well-known in mathematics. The proposed RUNge Kutta optimizer (RUN) was developed to deal with various types of optimization problems in the future. The RUN utilizes the logic of slope variations computed by the RK method as a promising and logical searching mechanism for global optimization. This search mechanism benefits from two active exploration and exploitation phases for exploring the promising regions in the feature space and constructive movement toward the global best solution. Furthermore, an enhanced solution quality (ESQ) mechanism is employed to avoid the local optimal solutions and increase convergence speed. The RUN algorithm's efficiency was evaluated by comparing with other metaheuristic algorithms in 50 mathematical test functions and four real-world engineering problems. The RUN provided very promising and competitive results, showing superior exploration and exploitation tendencies, fast convergence rate, and local optima avoidance. In optimizing the constrained engineering problems, the metaphor-free RUN demonstrated its suitable performance as well. The authors invite the community for extensive evaluations of this deep-rooted optimizer as a promising tool for real-world optimization. The source codes, supplementary materials, and guidance for the developed method will be publicly available at different hubs at http://aliasgharheidari.com/RUN.html.
User: aliasgharheidaricom
Home Page: https://aliasgharheidari.com/RUN.html
runge-kutta,A 2D flow visualization tool based on LIC and RK4. Developed using C++ and VTK.
User: andresbejarano
runge-kutta,A 3D flow visualization tool based on Runge-Kutta 4 (RK4) and Greedy Tiling for Streamsurface reconstruction. Developed using C++ and VTK.
User: andresbejarano
runge-kutta,Competitive Lotka–Volterra equations, solved using Runge-Kutta methods. Four dimensional system.
User: aromanro
runge-kutta,Electric field lines and equipotentials using Runge-Kutta methods, including adaptive ones
User: aromanro
Home Page: https://compphys.go.ro/electric-field-lines/
runge-kutta,A generic Runge-Kutta module to solve a system of ODEs
User: cbcoutinho
runge-kutta,Numerical methods implementation in MATLAB.
User: cfgnunes
runge-kutta,Numerical methods implementation in Python.
User: cfgnunes
runge-kutta,Adaptive P/ODE numerics with Grassmann element TensorField assembly
User: chakravala
Home Page: https://grassmann.crucialflow.com
runge-kutta,A Mathematica paclet for analyzing and deriving Runge–Kutta, linear multistep, and general linear methods
Organization: computationalsciencelaboratory
Home Page: https://computationalsciencelaboratory.github.io/Integreat/html/tutorial/IntegreatPackage.html
runge-kutta,/!\ Warning! I don't have the energy to keep working on this project at the moment. Would like to return to it some point in the future, but if you'd like to work on it I'm willing to transfer ownership.
User: donryudragoni
runge-kutta,Finding evidence for the existence of Strange, non-chaotic attractors in the Quasi-periodically driven duffing oscillator.
User: fistofhit
runge-kutta,Contains sample implementations in python of the following numerical methods: Euler's Method, Midpoint Euler's Method, Runge Kuttta Method of Order 4, and Composite Simpson's Rule
User: fritzwill
runge-kutta,Code for efficient solution of oscillatory ordinary differential equations
User: fruzsinaagocs
runge-kutta,A Python math package for numerical analysis: root finding, iterative solvers & other algorithms. Bisection, Newton, Euler, RK2, RK4, Adams-Bashforth-Moulton, etc. Uses Python, NumPy, SymPy, pytest.
User: glider4
runge-kutta,3D animation of the Lorenz Attractor trajectory, implemented in Python using the 4th order Runge-Kutta method. [Personal project]
User: hevenicio
runge-kutta,
Organization: hpc-maths
Home Page: https://ponio.readthedocs.io
runge-kutta,Modern Fortran Edition of Hairer's DOP853 ODE Solver. An explicit Runge-Kutta method of order 8(5,3) for problems y'=f(x,y); with dense output of order 7
User: jacobwilliams
runge-kutta,A Modern Fortran Library for Astrodynamics 🚀
User: jacobwilliams
runge-kutta,Fixed and variable-step Runge-Kutta solvers in Modern Fortran
User: jacobwilliams
Home Page: https://jacobwilliams.github.io/rklib/
runge-kutta,Unofficial mirror of RKSUITE http://www.netlib.org/ode/rksuite/
User: jacobwilliams
runge-kutta,Basic implementation 4th order Runge Kutta method for ODE's
User: jclarriaga5
Home Page: https://jclarriaga5.github.io/Runge-Kutta4/
runge-kutta,Trajectory simulation of the Pelican Prototype Robot of the CICESE Research Center, Mexico. The position control used was PD control with gravity compensation and the 4th order Runge-Kutta method.
User: jclarriaga5
Home Page: https://jclarriaga5.github.io/trajectory-simulation-pelican-robot/
runge-kutta,Numerically solves equations of motion for a given Hamiltonian function
User: jnafzig
Home Page: https://jnafzig.github.io/HamiltonianSolver/
runge-kutta,Python notebooks for Numerical Analysis
User: john-s-butler-dit
runge-kutta,Runge-Kutta ODE Integrator Implemented in Cython and Numba
User: jrenaud90
runge-kutta,Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
User: juliagusak
runge-kutta,Self advection, external force and pressure solve to a velocity field represented by a MaC grid.
User: kbladin
Home Page: http://kbladin.se/dmt_projects/fluid_simulation.php
runge-kutta,4th-order Runge-Kutta method for solving the first-order ordinary differential equation (MATLAB)
User: ksonod
runge-kutta,Lorenz attractor, mathematical Chaos Theory / Butterfly Effect
User: marioariasga
runge-kutta,Easy-to-compile, high-order ODE solvers as C++ classes
User: markmbaum
Home Page: https://markmbaum.github.io/libode/
runge-kutta,ODE solver library in Rust
User: martinjrobins
Home Page: https://martinjrobins.github.io/diffsol/
runge-kutta,Evaluating the Lorenz Attractor using Runge-Kutta, Predictor-Corrector and Euler methods.
User: mirianfsilva
runge-kutta,Blogpost and web demos about numerical solutions to ODEs
User: missing-user
Home Page: https://missing-user.github.io/ode/
runge-kutta,The motion of an asteroid in a two-dimensional space with a star and a planet • University project • 2014 - Laboratorio di Fisica Computazionale - BSc in Physics, II year
User: noranta4
runge-kutta,Rehuel is a simple C++11 library for solving ordinary differential equations with (implicit) Runge-Kutta methods.
User: pakketeretet2
runge-kutta,Fortran Library for numerical INTegration of differential equations
User: princemahajan
Home Page: https://princemahajan.github.io/FLINT/
runge-kutta,Runge-Kutta C program, methods (RK12 and RK24) for solving ordinary differential equations, with adaptive step size.
User: rand-asswad
runge-kutta,Computing with B-series in Julia
User: ranocha
Home Page: https://ranocha.github.io/BSeries.jl
runge-kutta,A collection of functionality around rooted trees to generate order conditions for Runge-Kutta methods in Julia for differential equations and scientific machine learning (SciML)
Organization: sciml
Home Page: https://sciml.github.io/RootedTrees.jl
runge-kutta,Library for solving time dependent PDEs in FEniCS using Runge-Kutta ESDIRK methods
User: skare
runge-kutta,ODE system solver made simple. For IVPs (initial value problems).
User: soypat
runge-kutta,A numerical CFD solver for the Shallow Water Equations
User: thanasismattas
runge-kutta,Runge-Kutta adaptive-step solvers for nonlinear PDEs. Solvers include both exponential time differencing and integrating factor methods.
User: whalenpt
runge-kutta,A numerical integrator written in Elixir for the solution of sets of non-stiff ordinary differential equations (ODEs).
User: woodward
runge-kutta,Extend scipy.integrate with various methods for solve_ivp
User: wrkampi
Home Page: https://github.com/WRKampi/extensisq
runge-kutta,Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.
User: xavierdechamps
runge-kutta,Mathpaqs: a collection of mathematical packages in pure Ada
User: zertovitch
Home Page: http://mathpaqs.sourceforge.net/
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.