Implementation from scratch of AI/ML algorithms
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Updated
Jan 8, 2023 - Jupyter Notebook
Implementation from scratch of AI/ML algorithms
R codes for FEA of microscale structures using the modified couple stress theory
Runge-Kutta Method in C++
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
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.
C++14 library of contour advection algorithms
Numeric library in C++ with basic methods
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
Solutions to the Exercises from "An Introduction to MATLAB and Numerical Methods for Engineers." by Timmy Siauw and Alexandre M. Bayen
This repository shows implementation of different Numerical Methods using C program
Some applications in Financial Mathematics.
A bunch of codes done in the labs of various courses during Undergrad.
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