Shooting Method Algorithm and MATLAB Implementation
Introduction to the Shooting Method (打靶法) algorithm with MATLAB programming examples for boundary value problems, provided for reference purposes.
Shooting Method for Solving the Schrödinger Equation
This implementation uses MATLAB to solve the eigenvalue and eigenfunction problems of the time-independent Schrödinger equation by combining the shooting method with the Numerov algorithm. The method successfully computes eigenvalues and eigenfunctions meeting precision requirements for various parabolic potential configurations, demonstrating robust performance across different quantum well potentials through iterative boundary value matching.
Implementation of Shooting Method for Solving Boundary Value Problems of Differential Equations in MATLAB
This MATLAB program implements the shooting method to solve differential equations with boundary conditions, with all parameters clearly documented in the code and comprehensive explanations of the algorithmic implementation approach.
Shooting Method Implementation in MATLAB for Solving Boundary Value Problems in Differential Equations
Implementation of the shooting method in MATLAB for solving differential equations with boundary conditions, featuring code integration techniques and iterative optimization approaches.
Shooting Method: Numerical Solution for Boundary Value Problems
Shooting Method Implementation for ODE Boundary Value Problems with MATLAB Code Integration
Finite Difference Methods for Solving Systems of Equations
Finite Difference Methods for Solving Differential Equation Systems with Code Implementation Considerations