matlab cftool代码Sabatier-reaction-PDE-solver 这是一个用于求解质量和能量偏微分方程的 matlab 代码。 Cftool 可用于生成沿React器（壳管式换热器）长度的温度和浓度分布。 MATLAB 使用内置函数 pde-solver 来求解偏微分方程。 React器体积、空隙率、活化能等参数值取自文献，因此通过与该主题相关的各种其他研究论文进行验证。

使用偏微分方程PDE进行图像去噪的matlab代码集合-calc_lam.m 希望对大家有帮助

Partial differential equations (PDEs) and variational methods were introduced into image processing about fifteen years ago. Since then, intensive research has been carried out. The goals of this book are to present a variety of image analysis applications, the precise mathematics involved and how to discretize them. Thus, this book is intended for two audiences. The first is the mathematical community by showing the contribution of mathematics to this domain. It is also the occasion to highlight some unsolved theoretical questions. The second is the computer vision community by presenting a clear, self-contained and global overview of the mathematics involved in image processing problems. This work will serve as a useful source of reference and inspiration for fellow researchers in Applied Mathematics and Computer Vision, as well as being a basis for advanced courses within these fields. During the four years since the publication of the first edition, there has been substantial progress in the range of image processing applications covered by the PDE framework. The main goals of the second edition are to update the first edition by giving a coherent account of some of the recent challenging applications, and to update the existing material. In addition, this book provides the reader with the opportunity to make his own simulations with a minimal effort. To this end, programming tools are made available, which will allow the reader to implement and test easily some classical approaches.

COMSOL_PDE_学习资料

偏微分方程式(PDE)就是指含有偏导函数(partial.doc

%% 有限差分隐式方法（矩阵方程），D = 扩散率：Fick 的第二扩散定律% by Prof. Roche C. de Guzman 清除; clc; 关闭所有'）; %% 给定xi = 0; xf = 0.6; dx = 0.04; % x 范围和步长 = dx [m] xL = 0; xU = 0.1; % 初始值 x 下限和上限 [m] ti = 0; tf = 0.05; dt = 4e-4; % t 范围和步长 = dt [s] ci = 2; % 初始浓度值 [ng/L] cLU = 8; x 上下限范围内的 % 初始浓度值 [ng/L] D = 1.5； % 扩散率或扩散系数 [m^2/s] %% 计算％自变量：x和t X = xi:dx:xf; nx = 数字（X）； T = ti:dt:tf; nt = numel(T); % x 和 t 向量及其元素数[x,t] =

%% 有限差分显式方法（迭代），D = 扩散率：Fick 的第二扩散定律% by Prof. Roche C. de Guzman 清除; clc; 关闭所有'）; %% 给定xi = 0; xf = 0.6; dx = 0.04; % x 范围和步长 = dx [m] xL = 0; xU = 0.1; % 初始值 x 下限和上限 [m] ti = 0; tf = 0.05; dt = 4e-4; % t 范围和步长 = dt [s] ci = 2; % 初始浓度值 [ng/L] cLU = 8; x 上下限范围内的 % 初始浓度值 [ng/L] D = 1.5； % 扩散率或扩散系数 [m^2/s] %% 计算％自变量：x和t X = xi:dx:xf; nx = 数字（X）； T = ti:dt:tf; nt = numel(T); % x 和 t 向量及其元素数[x,t] = me

ADI交替方向隐式法求抛物型PDE的fortran程序

文集本身是众多方程领域的数学家为贺法国大家Haim Brezis60岁生日而拿出的祝贺论文的集合。很多文章都是具有很强概括性的综述。But，我也没有详细读过。

Data-driven discovery of partial differential equations 源代码