LDAMatab

最小二乘优化算法。Matlab源码，直接可以使用。(Least Squares optimal affine subspace The zip includes: (1) lsqAffineSpace: a low level routine that takes a set of m-dimensional real sample data and returns the optimal-fit k-dimensional affine subspace, with some options for discarding outliers. (2) lsqPlane and lsqLine: lsqAffineSpace wrappers, that compute optimal line and hyperplane (plane, if the samples are 3-vectors) of the input samples. (3) lsqAffineTestScript: demonstrating usage of the functions.)

基于matlab的隐马尔可夫模型应用，解决了经典的三大基本问题。带有详细解释(The matlab-based hidden Markov model is applied to solve the classic three basic questions. With a detailed explanation of)

在复杂网络中，求经典的无标度网络最短路径算法的matlab源程序非常的实用。(In complex networks, and the classical scale-free network shortest path algorithm matlab source code is very practical.)

a code that inserts ur given watermark in an image using the dct domain

利用MATLAB实现有限元分析中8节点平面结构单元的计算，程序中定义多个参变量及函数，具有极强的通用性(Using MATLAB to achieve 8-node finite element analysis of plane structural elements of the calculation, the program defined in the function of many variables and parameters, is highly versatile)

Abaqus焊接传热分析中高斯热源子程序(Abaqus subroutine DFlux of Gaussian Heat Source for welding analysis)

A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.(A Novel Image Reconstruction Algorithm Based on Concatenated Dictionary This paper presents a novel method for image reconstruction, which decomposites the image by concatenating a redundant dictionary of several bases and then reconstruct the image efficiently by means of Matching Pursuit algorithm. The proposed method constructs the concatenated dictionary with cosine bases, wavelet bases and contourlet bases, which will lead to a better approximation of the original image. The experimental results show that the proposed algorithm can greatly reduce the computational complexity and generate a better reconstruction effect compared with previous methods.)

定起点定终点的多旅行商MTSP问题的MATLAB代码(Multiple travel quotient MATLAB code for fixed point terminal point)

平滑矩阵的music算法，是阵列信号处理的一种算法.....(Music smoothing matrix algorithm is an algorithm array signal processing .....)

matlab在数学建模中的应用，有效利用matlab进行数学建模(matlab mathematical modeling applications, the effective use of matlab mathematical modeling)