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Award winning software library for nonlinear dynamics and nonlinear timeseries analysis
Example files for Excel Tutorials at https://www.youtube.com/watch?v=dEGVT1_yHKg&list=PLhPyEFL5u-i3ToOEhCPbpak4_S8zAZLn-
Python implementation of Levenberg-Marquardt algorithm built from scratch using NumPy.
An active set method for sequential quadratic programming
Matlab implementation of projected gradient descent
Implementation of Nesterov's accelerated method for function minimization
Python code for Fake Nodes interpolation approach.
A generalized finite difference / interpolation algorithm using Lagrange polynomials from B. Fornberg (1998).
Collection of Matrix/Linear Algebra Information
A repository containing implementations of various numerical methods written in Python
Solve automatic numerical differentiation problems in one or more variables.
Python package for numerical derivatives and partial differential equations in any number of dimensions.
Solve symbolically defined systems of non-linear equations numerically.
Developer documentation for the SciML scientific machine learning ecosystem's differential equation solvers
Python library for arbitrary-precision floating-point arithmetic
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
Fortran Library for numerical INTegration of differential equations
pure-Julia multidimensional h-adaptive integration
Julia package for Gaussian quadrature
adaptive 1d numerical Gauss–Kronrod integration in Julia
A Modern Fortran Library for Astrodynamics 🚀
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)
Implementation of the Gauss-Kronrod method for quadrature formulas. It contains two versions - with and without parallelization of calculations.