SOAmodel

常用的算法设计策略(包括分治策略、动态规划、贪心策略、回溯法、随机算法等) 算法复杂度分析方法(计算迭代次数、使用递归方程、频度分析等) (Commonly used algorithm design strategies (including the strategy of divide and conquer, dynamic programming, greedy strategy, backtracking method, random algorithm) algorithm complexity analysis (number of iterations, using a recursive equation, frequency analysis, etc.))

比Windows自带的高级一点的计算器，能将整个表达式输入，然后求值。 这个程序要求读者具备编译原理的一些知识。 (Advanced calculator than Windows built, the whole expression input can be then evaluated. This program requires the reader to have some knowledge of compiler theory.)

用QR 法方程组合SVD分解进行最小二乘解方程组，并比较三种方法的稳定性以及准确性(Combined with the QR equation SVD decomposition least squares solution of equations, and compare the stability and accuracy of three methods)

半参数回归模型在测绘领域中的应用，先利用多期数据构建半参数回归模型，然后再预报未来多期数据(Semiparametric regression model applied in the field of surveying and mapping, the first use of multi-phase data to construct semi-parametric regression model, and then predict the future multi-phase data)

satellite-tracking-opensource

使用lasso方法，对特征矩阵进行优化特征选择（向量选择），使其达到最优。(Use lasso method, optimize the characteristic matrix feature selection (vector selection), to the optimal.)

是以有限差分算法的MATLAB实现，可以运行的，给出谐振腔的场强的表示方法(finite diffenence time domain programmed by matlab language is for cavity, and its elelctro magnetic field can be showed.)

说明：  berkeley加州大学SAP系列软件之SolidSAP，由Edward L.Wilson教授开发的三维结构源程序，功能强大，代码清晰，含学习手册。(SolidSAP, a three-dimensional structure source program developed by Professor Edward L. Wilson, is a software of the SAP series at the University of California, Berkeley. It has powerful functions, clear code and learning manual.)

用matlab实现的二维两相水驱油数值模拟，可作为数值模拟课的作业。(Using matlab to achieve the two-dimensional two-phase water-flooding numerical simulation, numerical simulation can be used as homework assignment.)

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.)