Explore MATLAB source code curated for "偏微分方程" with clean implementations, documentation, and examples.
Implementation of ordinary and partial differential equation solvers using fourth-order Runge-Kutta method with MATLAB GUI interface. Key features include: GUI development, ODE/PDE solvers, difference methods, numerical integration algorithms (Runge-Kutta, Euler, Heun). MATLAB version: 7.0 (R14) with code examples demonstrating algorithm implementation and numerical method comparisons.
Image denoising program based on wavelet-PDE (Partial Differential Equation) methodology, implemented using MATLAB 7 programming environment with wavelet decomposition and PDE-based diffusion algorithms
Implementation of Example 1.1.3 using compact difference scheme to solve ordinary differential equation boundary value problems, featuring efficient discretization and matrix-based solutions.
Detailed MATLAB m-file routines for solving various types of partial differential equations, featuring implementation examples with PDE Toolbox functions, finite difference methods, and spectral decomposition algorithms
MATLAB Code Implementation of the Rudin-Osher-Fatemi (ROF) Model for Image Denoising
This classic boundary value problem case study demonstrates the implementation of compact difference schemes for solving ordinary differential equations, highlighting key computational techniques and algorithm design considerations.
Numerical solution of one-dimensional wave equation using finite difference method with implementation details
Numerical Solution Program for Second-Order Elliptic Partial Differential Equations