Numerical methods for solving linear systems and non-linear equations
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Updated
Jun 7, 2021 - MATLAB
Numerical methods for solving linear systems and non-linear equations
This repository provides implementations of various algorithms in linear algebra and numerical optimization.
Some numerical methods implementations using Octave/Python
Solving nonlinear coordinate-wise monotonic systems of algebraic equations
MATLAB algorithm that computes the eigenvalues of a Schrödinger operator with decaying potential.
A software to solve linear equations using numerical analysis methods.
This repository contains implementations of numerous numerical methods for the Numerical Methods course @ ITBA. These methods are used for solving mathematical problems, including root finding, interpolation, and differential equations. Students can learn and practice using these methods for real-world applications.
A root finder application that uses numerical analysis methods to find the roots for a given equation.
Mathematical modelling of microglial cells for the neuroscience community
Numerical Methods implementation in MATLAB.
Euler-Maruyama and Milstein methods for solving a general SDE
This repository provides essential numerical algorithms for solving mathematical problems. Covering linear equations, differential equations and more, it's a valuable resource for students and professionals in science and engineering.
This repository contains implementations of common Numerical Methods using MATLAB. These codes are written for educational purposes to help students understand the logic behind each numerical algorithm.
Implementing Gaussian method for derivative estimation for an arbitrary number of points in MATLAB
A repository of numerical analysis routines created to learn MATLAB
Material introductorio a MATLAB como parte de un curso de Calculo Numérico dictado por la FCEN, UBA, el 2do cuatrimestre del 2014.
Numerical Methods labs and projects
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