Script written in Python to integrate the equations of motion of N particles interacting with each other gravitationally. The script computes the equations of motion and use scipy.integrate to integrate them. Then it uses matplotlib to visualize the solution.
C++17 N-body Barnes-Hut on heterogeneous hardware architectures
This Python project's goal is to model the collision of multiple galaxies through the use of an optimized N-Body problem engine.
Gravitational simulation of the N-body problem using FPGA hardware acceleration
Solve many-body problem via numerical minimization of orbits action
N body problem simulation based on Barnes-Hut algorithm
N-Body simulation in Go
N-Body problem in C with parallel computing using 12 order Runge-Kutta with adaptive step size
Repo for my coursework for PHYS281 Scientific Programming and Modelling. A Library to simulate the interaction of solid bodies in 3D, and be able to graphically display motion or output in multiple forms. Integrates JPLHorizons data to be able to use in simulation.
多体問題に対するいろんなアイディアを試す
Performance Benchmarking.
Exercice sur les schémas d'intégration d'Euler et de Runge-Kutta d'ordre 4
Simulateur à N corps interagissant gravitationnellement entre eux dans la physique newtonienne
Simulation of a dynamic system of N particles under the gravitational force in 3 dimensions.
High-performance n-body solver achieving 128× speedup via checkerboard domain decomposition, toroidal neighbor communication, and sweep-and-prune for scalable uniform/gaussian workloads.
Exact symbolic computation of Lie algebras generated by pairwise Hamiltonians under Poisson brackets, for the N-body problem. Headline N=3 sequence 3, 6, 17, 116 is universal across potentials (1/r, 1/r², log, Yukawa, …), spatial dimensions, mass ratios (incl. Tsygvintsev cases), and physical regimes (gravity, atomic, plasma, prime distributions).
💻 N-Body problem parallelization with OpenMP and MPI
Exploring the motions and gravitational interactions of celestial objects. Contains scripts and algorithms to solve example problems.
Parallel implementation of some algorithms
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