Lagrangian-relaxation

正交频分复用的papr仿真，在MATLAB环境下，m语言实现。(Orthogonal Frequency Division Multiplexing papr of simulation, in the MATLAB environment, m language.)

this is about WLS algorthim to remove noise components in sine signal

FEM code for Computational Code

this code is to learn more about the mattlab

基于matlab的条件平差方法的实现，以水准网为例构建条件方程(Implementation of the method based on the matlab conditions adjustment, leveling network, for example to build conditional equation)

导航栏，精选ios编程学习源码，很好的参考资料。(The navigation bar, select learning IOS programming source code, a good reference.)

Convert grayscale images to RGB using specified colormap.

曲线模型的半自适应交互多模型跟踪方法 我存的一篇论文，拿来与大家共享(When using interactive multiple model (IMM) to track targets,to select smallermodel set to better cover the move- ment property and the maneuvering level of various targets and meanwhile to reduce computation complexity are both worthwhile and also necessary research tasks to project implementation.The main work is done through the IMM algorithm of curvilinear model,the construction of angle velocity estimation model and the extension of it to state equations,whichmake it possible for normal acceleration to be self-adaptively adjusted,hence it reduces the model setto associate onlywithMcurvilinearmodels selatingtotangential acceler- ation.Computation burden is reduced and algorithm’s applying range is extended.The simulation further proves the conclusion )

一、椭圆型偏微分方程 1. Helmholtz方程 及 特例（Possion方程， Laplace方程）； Helmholtz.m possion 2. 满足牛顿边值条件的Helmholtz方程；Helmholtz_Newton.m 二、抛物线型偏微分方程 1. 显式前向欧拉法 EF_Euler.m 2. 隐式后向欧拉法 IB_Euler.m 3. Grank-Nicholson法 Grank_Nicholson.m 4. 二维热传导抛物线方程 TDE.m 三、双曲线型偏微分方程 1. 显式中心差分法（一维波动方程） ECD_Wave.m 2. 显式中心差分法（二维波动方程） Wave2.m 四、有限元法 二维偏微分法方程（拉普拉斯方程） fem_basis_ftn.m Show_Basis.m fem_coef 五、使用GUI形式的偏微分方程求解工具求解偏微分方程（PDETOOL） 来自《精通Matlab科学计算》第三版(Numerical Methods for PDE)

upml边界条件下的FDTD程序，感觉很不错，分享给大家吧，也希望大家能更多的分享自己的程序。谢谢(boundary conditions under upml FDTD program, I feel very good, for everyone to share it, I hope you will be able to share their program more. Thank you)