Implementation from scratch of AI/ML algorithms
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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++
Numerical Method All Programming Assignment
Methods Based on First-Order Approximation and Fixed-Point Methods
Solving Quartic Equations
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
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.
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