Linear systems' resolution using Forward and Backward Substitution Algorithms, LU factorisation with and without partial pivoting, Gauss-Seidel and Jacobi Methods

Métodos numéricos con python(Numpy, matplotlib, pandas)

C code bisection, gauss seidel, incremental search, jacobi Method , LU Decomposition, Newton_Raphson, Power Method, QR_Decomposition, regula_falsi Method, Simpson and Trapezoidal Integration

Computational Linear Algebra course covering topics like iterative methods, matrix decompositions, and applications. It includes theoretical concepts, practical exercises, and code. Advanced methods like QR factorization, spectral theorem, and iterative solvers for linear systems.

Density Functional Theory in real space, for atoms, LDA and LSDA

Numerical Computing (CS Undergraduate course labs)

A Python-based linear equation solver CLI application that allows a user to input a number of linear equations and choose any one of 4 numerical methods (Gaussian-elimination, LU decomposition, Gaussian-Jordan and Gauss-Seidel), along with their respective parameters, to solve the equations.

Python library for optimized interpolation.

A simple investigation into various CFD methods (like SF-Vorticity approach, primitive variable FDM, FVM etc.) by using the Lid-Driven Cavity problem as an example

Computational Linear Algebra - Python

Computing hydrodynamic interaction forces and torques between two spheres moving inside a viscous flow

Solver for Power Flow Problem ⚡

This Module is Numerical analysis, an area of mathematics and computer science that creates, analyzes, and implements algorithms for obtaining numerical solutions to problems involving continuous variables. Such problems arise throughout the natural sciences, social sciences, engineering, medicine, and business.

MATLAB code for performing power flow analysis on electrical networks using different algorithms provided by MATPOWER, a powerful simulation tool widely used in power system engineering.

Linear algebra library which outputs step-by-step calculations in the terminal.

MATLAB programs for solving the power-flow equations using either of methods: Gauss-Seidel (G-S), Newton-Raphson (N-R) & Fast Decoupled Load Flow (FDLF).

Implementations of various Algorithms used in Numerical Analysis, from root-finding up to gradient descent and numerically solving PDEs.

Serial and Parallel numerical methods for solving partial differential equations using finite differences with OpenMP. Implementation of the serial and parallel Jacobi and Gauss-Seidel methods for solving linear systems. Implementation of the Additive Schwarz and Restricted Additive Schwarz methods for domain decomposition.

Python scripts referring to methods of numerical analysis.

Gauss–Seidel algorithm for electrostatic fields