Implementation from scratch of AI/ML algorithms
-
Updated
Jan 8, 2023 - Jupyter Notebook
Implementation from scratch of AI/ML algorithms
Gauss's quadrature formula, computing integrals from functions with singularities, computing multiple integrals by the Monte Carlo method, solving ODE numerically, least-squares method, QR algorithm, Jacobi eigenvalue algorithm, solving boundary value problems
R codes for FEA of microscale structures using the modified couple stress theory
Runge-Kutta Method in C++
Matrices multiplication, Newton's / Lagrange's interpolation, Gauss's / Seidel's methods for solving a system of linear differential equations, numerical differentiation, spline interpolation, Fourier transform
Solving Cauchy problems and stiff systems of differential equations, finding eigenvalues in symmetric matrices
Numerical Method All Programming Assignment
Methods Based on First-Order Approximation and Fixed-Point Methods
Solving Quartic Equations
ngx-mat-miyagi-dolab is a set of Angular focused libraries for numerical calculations, focused on bioinformatics
Python Modules for a Static Star Model: A Python code to simulate a simple stellar model.
Numeric library in C++ with basic methods
C++14 library of contour advection algorithms
Phase field modelling of fracture. I am having convergence issues. If anyone can help me fix this let me know
Numerical Techniques in Matlab Examples
This repository shows implementation of different Numerical Methods using C program
Solutions to the Exercises from "An Introduction to MATLAB and Numerical Methods for Engineers." by Timmy Siauw and Alexandre M. Bayen
A bunch of codes done in the labs of various courses during Undergrad.
Some applications in Financial Mathematics.
Add a description, image, and links to the numerical-methods-implementation topic page so that developers can more easily learn about it.
To associate your repository with the numerical-methods-implementation topic, visit your repo's landing page and select "manage topics."