sod ausm

安装32bit-win的spss中PSL所需的所有安装文件，包括PythonPlugInWin32、Python2.5.4、scipy-0.6.0、numpy-1-1.0、PLS.py以及plscommand.xml并附安装说明。 第一步:安装spss17.0 第二步：安装 SPSSStatisticsPythonPlugInWin32_1700.exe 第三步：安装Python2.5.4 第四步：安装scipy-0.6.0和numpy-1-1.0 第五步：复制PLS.py文件到Python安装目录----Python25Libsite-packages 复制plscommand.xml文件到spss安装目录----SPSSIncStatistics17extensions，没有extensions文件夹就新建一个。 第六步：打开软件，导入数据，分析-回归-部分最小平方回归。Ok(Install all the installation files required by PSL in the SPSS of 32bit-win, including PythonPlugInWin32, Python2.5.4, scipy-0.6.0, numpy-1-1.0, PLS.py and plscommand.xml, and attach the installation instructions.)

相场法模拟晶粒,有关相场的matlab程序，有相场法fortran源代码 (Matlab program on phase field)(grain evalution based on phase field method)

产生 50 个标准正态分布的随机数, 经验累计分布函数图.(Random number generated 50 standard normal distribution, noting their distribution characteristics, and to draw experience cumulative distribution function diagram.)

利用时域有限差分求解CFD问题，其中差分格式为LUSGS，是求解流体问题的理论基础(Solved using finite-difference time-domain CFD problems, in which the differential form LUSGS )

EnKF集合卡尔曼滤波代码，用于读写模式集合，包括两种扰动观测分析方案。(These files illustrate the model used for storing, reading and writing the ensemble of model states.)

变系数/非线性微分方程的求解，包括原式及改变的式子。 (Variable coefficients/non-linear differential equations to solve, including the original style and formula changes.)

说明：  非常好的卡尔曼滤波学习程序。文章中有原题，有解题步骤，有实现程序。适合卡尔曼学习过程中的人。(Very good learning process Kalman filter. The article in the original title, there are problem-solving steps to achieve the procedure. Kalman learning process for people.)

Using Runge-Kutta 10 inoder to solve

基于db8小波的,平移不变小波变换,层有关硬阈值滤波,(Based on db8 wavelet, translation invariant wavelet transform, layer related hard threshold filtering,)

说明：  最速下降法就是梯度下降法,可以用于求解最小二乘问题(线性和非线性都可以)。可以说是求解机器算法的最古老、最经典的模型，另一种常用的方法是最小二乘法。(The steepest descent method is the gradient descent method, which can be used to solve the least squares problem (both linear and non-linear). It can be said that it is the oldest and most classical model for solving machine algorithm. Another commonly used method is the least square method.)