利用龙格库塔法解布洛赫方程

this pdf is for using matlab for tem wave

创建一个n维的稀疏数组对象，n是任意值。 定义N可能是大于2的一类n维稀疏阵列。然而，它应该被认为是一种起动方式与普通的MATLAB稀疏矩阵和重塑它有N维度。换句话说，稀疏的数据，首先必须能够作为一个普通的2D MATLAB稀疏矩阵被前n维。事实上，如果目标数组的尺寸mxnxp……yxz，然后将它存储在内部类是一个普通的二维稀疏阵列的尺寸（M×N×P×……×Y）XZ。这导致了某些内存株时使用大量的尺寸。我发现有用的类主要用于中等尺寸像三维图像边缘检测，你经常要举行一个稀疏的3D的边缘地图。(Creates an N-dimensional sparse array object, for arbitrary N.This submission defines a class of N-dimensional sparse arrays for N possibly greater than 2. However, it should really be thought of as a way of starting with an ordinary MATLAB sparse matrix and reshaping it to have N dimensions. In other words, the sparse data must first be able to exist as an ordinary 2D MATLAB sparse matrix before being made N-dimensional. In fact, if the intended array has dimensions MxNxP...YxZ, then the class will store it internally as an ordinary 2D sparse array of dimensions (M*N*P*...*Y)xZ. This leads to certain memory strains when using large numbers of dimensions. I find the class useful mainly for moderate dimensional things like edge detection in 3D imaging, where you often want to hold a sparse 3D edge map. )

image roate with random angle

关于地球物理反演的软件包，重点是一些规则化的程序，压缩文件里包括matlab code和书籍(geophysics inversion, regulariation in inverse problems, and the manual is included)

基于风谱的谐波叠加法的代码生成随机风速时程曲线(Time curve generates a random code based wind velocity spectrum harmonic superposition method)

书籍：高等光学仿真-光波导激光，通过具体例子展示matlab的强大功能(Books: higher- optical waveguide laser optical simulation, through specific examples show the powerful functions of matlab)

直流电动机的机械特性，很有用的，MATLAB仿真(DC motor mechanical properties, very useful, MATLAB simulation)

Pure Sine Wave Inverter Driver Board EGS002 _ EVE-eVision Electronics Pakistan _ Atmel Controllers in Pakistan

Description The Joint Spectral Radius of a set of matrices characterizes the maximal asymptotic rate of growth of a product of matrices taken in this set, when the length of the product increases. It is known to be very hard to compute. In recent years, many different methods have been proposed to approximate it. These methods have different advantages, depending on the application considered, the type of matrices considered, the desired accuracy or running time, etc. The goal of this toolbox is to provide the practioner with the best available methods, and propose an easy tool for the researcher to compare the different methods.

smoothing images processing