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Tags: Science and math
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25–48 of 111 · Most stars

Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.

A collection of GICP-based fast point cloud registration algorithms

  • point-cloud
  • pcl
  • gicp
  • icp

A research toolkit for particle swarm optimization in Python

  • particle-swarm-optimization
  • optimization-tools
  • pso
  • global-optimization

GeneticSharp is a fast, extensible, multi-platform and multithreading C# Genetic Algorithm library that simplifies the development of applications using Genetic Algorithms (GAs).

linalg.h is a single header, public domain, short vector math library for C++

C++ library for solving large sparse linear systems with algebraic multigrid method

  • amg
  • c-plus-plus
  • sparse-linear-systems
  • opencl

A lightweight high performance tensor algebra framework for modern C++

  • tensors
  • tensor-contraction
  • multidimensional-arrays
  • simd

Open-source cross-platform symbolic algebra library for C# and F#. Can be used for both production and research purposes.

  • csharp
  • algebra
  • integration
  • latex

RBDL is a C++ library that contains some essential and efficient rigid body dynamics algorithms such as the Articulated Body Algorithm (ABA) for forward dynamics, Recursive Newton-Euler Algorithm (RNEA) for inverse dynamics, the Composite Rigid Body Algorithm (CRBA) for the efficient computation of the joint space inertia matrix and is also able to compute forward dynamics with external contact constraints and collision impulses. Furthermore it has some basic support for forward and inverse kinematics.

  • articulated-body-algorithm
  • inverse-dynamics
  • forward-dynamics
  • multi-body-dynamics

ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.

🎯 A comprehensive gradient-free optimization framework written in Python