APPM 4660 Intermediate Numerical Analysis II final project [Spring 2021].
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Updated
May 3, 2021 - MATLAB
APPM 4660 Intermediate Numerical Analysis II final project [Spring 2021].
Numerical methods for solving linear systems and non-linear equations
This repository provides implementations of various algorithms in linear algebra and numerical optimization.
3rd year bachelor project: Increase the resolution of images using interpolating surfaces (Documentation in Portuguese)
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.
Implement some finite volume schemes for elliptic PDEs.
Homework done in Matlab
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.
Shilling is implementation of 28 Runge Kutta Based fixed-step ODE solvers in MATLAB.
Curve fitting, root and polynomial approximations algorithms.
Implementations of seminal algorithms in numerical analysis. Coursework for MATH 446: Numerical Analysis (Spring 2017) at George Mason University.
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.
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