Project on numerical computation for the dynamics of mechanical systems. Simulation of particle, rigid body and Multibody systems.
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Updated
Aug 1, 2024 - MATLAB
Project on numerical computation for the dynamics of mechanical systems. Simulation of particle, rigid body and Multibody systems.
Teach numerical methods for interpolation, differentiation, integration, and solving ODEs and PDEs with MATLAB.
This repository contains MATLAB programs and algorithms covering various numerical methods. These scripts are designed to help understand and implement fundamental numerical techniques commonly used in scientific computing.
Integrals' approximation using Composite Trapezoidal and Simpson's x Composite rules
Interactive courseware module that addresses the fundamentals of numerical integration taught in mathematics courses.
Shilling is implementation of 28 Runge Kutta Based fixed-step ODE solvers in MATLAB.
numerical methods implementation via MATLAB
This repo contains implementations of several numerical methods in MATLAB.
This is a Git repository containing code for a numerical analysis lab using Fortran and MATLAB
Double integral approximation using the composite trapezoidal method with the domain transformation from circle to square
Script, demo e codice ausiliario per “Soluzione numerica di equazioni integrali di Fredholm su domini poligonali”
Course Taken @ UCMerced [2021]
This repository contains source code for the term project of Advanced CFD class in Spring 2022 (Instructor: Prof. Danesh Tafti).
Engineering Analysis
Numerical Methods
A collection of octave/matlab scripts used for testing new concepts
Numerical methods implementations from computational methods class
Numerical solution of Painlevé III D7 equation and calculation of canonical barriers according to arXiv:1806.06588
MATLAB function that performs numerical integration using Simpson's Rule where possible, and the Trapezoidal Rule otherwise
We, a team of students, recently completed a series of projects as part of our numerical analysis course. These projects involved the application of various numerical methods to solve mathematical problems and analyze the results. Through these projects, we gained a deeper understanding of the concepts covered in the course and honed our skills in
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