nml is a "simple" matrix/numerical analysis library written in pure C. The scope of the library is to highlight various algorithm implementations related to matrices. Code readability was a major concern.
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Updated
Jun 17, 2024 - C
nml is a "simple" matrix/numerical analysis library written in pure C. The scope of the library is to highlight various algorithm implementations related to matrices. Code readability was a major concern.
Autodiff is a numerical library for the Go programming language that supports automatic differentiation. It implements routines for linear algebra (vector/matrix operations), numerical optimization and statistics
Vector, Matrix, Quaternion, Euler Angles, SLERPs, Projections, Transforms
A linear algebra library for TypeScript and JavaScript
Implementation of well-known numerical methods.
In numerical analysis, a numerical method is a mathematical tool designed to solve numerical problems. The implementation of a numerical method with an appropriate convergence check in a programming language is called a numerical algorithm
A collection of python implementations using SWIG, Instant, F2PY... Optimization like Least Squares Levenberg-Marquardt. Boundary Value problem solvers. Integration Simpson/Trapezoidal. Interpolation like Cubic spline. Tridiagonal/pentadiagonal system of equations solver. Linear algebra like Matrix inversion (Gauss-Jordan) and much more
Algebra Linear System Solver Task, Second Year 1st Semester - UNI211T.
MAL111 - Mathematics Laboratory MATLAB Codes. Bisection Method, Fixed Point Method, Gauss Elimination, Gauss Jordan, Matrix Inversion, Lagrange Interpolation, Newton-Raphson, Regula-Falsi, Row Reduced Echelon Form, Simpson's Integration, Trapezoidal Method.
Numerical Method Codes in Python
Implementation for different numerical algorithms
Scratch implementation of Gaussian Elimination algo in Julia
Computing the optimized values using Simplex method
A special repository for Numerical Methods course from my uni in April 2022. All of the code written in C++ with five methods included.
Linear Equations solver project done using Matlab, uses different method to solve the equations as Gauss Elimination, Gauss Jordan, LU Decomposition, Gauss Seidel, and Jacobi Iterative Method
Compute the inverse of a matrix using the Gauss-Jordan method.
My codes for the courses of Computer Programming, and Numerical and Computational Physics at IITR
MAL114 - Linear Algebra MATLAB Codes: QR decomposition and eigenvalues, Gauss-Jacobi, Gauss-Jordan, Gauss-Seidel, Graham-Schmidt, Jacobi Eigenvalues, Projection, Successive over Relaxation, System of Equations.
You can enter any matrix and my code will solve it using Gauss Jordan Elimination method showing each step.
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