Numerical methods implementation in MATLAB.
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Updated
May 2, 2024 - MATLAB
Numerical methods implementation in MATLAB.
Solve the 1D forced Burgers equation with high order finite elements and finite difference schemes.
4th-order Runge-Kutta method for solving the first-order ordinary differential equation (MATLAB)
Finding evidence for the existence of Strange, non-chaotic attractors in the Quasi-periodically driven duffing oscillator.
The optimization field suffers from the metaphor-based “pseudo-novel” or “fancy” optimizers. Most of these cliché methods mimic animals' searching trends and possess a small contribution to the optimization process itself. Most of these cliché methods suffer from the locally efficient performance, biased verification methods on easy problems, an…
Flight mechanics atmospheric reentry study for ballistic capsules and lifting vehicles
This paper graphically presents the evolutions of several variables during the re-entry of two types of vehicles: Ballistic and Supporters
Plot and Simulation of satelite, projectile and missile using the Runge Kutta numerical method in MATLAB.
The dynamic displacement response of a line-like structure to an uncorrelated Gaussian white noise input is computed in the time domain.
Simulation of a simple harmonic oscillator pendulum using 3 different numerical methods with MATLAB.
Implementation of explicit Runge-Kutta time-marching schemes for the coupled hydro-mechanical problem.
Gallery of more than 100 three-dimensional сhaotic attractors.
This repo contains implementations of several numerical methods in MATLAB.
A MATLAB routine to compute numerically the solution to the 1D stationary Schrödinger equation in the highly oscillatory regime.
A Matlab library of numerical methods for solving differential equations stochastically and continuously .
Programming different types of numerical methods using MATLAB. All codes have been developed from the scratch during the academic year 2016-2017 for Numerical Analysis course at Shiraz University.
Numerical Solution for Ordinary Differential Equations - Euler, Ralston's Second-Order RK, Fourth-Order Runge-Kutta, NSS Heun, Adams-Bashforts, Adams-Moulton
This repository includes numerical integration-based solutions for solving non-linear equations. The solutions include Newton Raphson technique for algebraic equations and Euler's/Modified-Euler's/Runge-Kutta (RK4) for differential algebraic equations.
Lotka-Volterra approximations using various numerical methods
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