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单纯形法，求解线性规划问题的通用方法。单纯形是美国数学家G.B.丹齐克于1947年首先提出来的。它的理论根据是：线性规划问题的可行域是 n维向量空间Rn中的多面凸集，其最优值如果存在必在该凸集的某顶点处达到。顶点所对应的可行解称为基本可行解。单纯形法的基本思想是：先找出一个基本可行解，对它进行鉴别，看是否是最优解；若不是，则按照一定法则转换到另一改进的基本可行解,再鉴别；若仍不是，则再转换,按此重复进行。因基本可行解的个数有限，故经有限次转换必能得出问题的最优解。如果问题无最优解也可用此法判别。 (Simplex method for the minimum)

FFT DIF 分裂基的C语言代码，比较好的说明了整个流程(FFT DIF split the base of the C language code, better explains the entire process)

利用abaqus软件建模，然后将inp文件导入flac软件中。(ABAQUS software is used to model, and then the InP file is imported into the FLAC software.)

程序算任意点FFT和小波变换,以及可选择多种小波及小波变换后的单频带重够,另算信号的Lipschitz指数,高级数字信号处理!(counting procedures arbitrary point FFT and Wavelet Transform, and the choice of multiple wavelet and the wavelet transform of a single-band heavy enough, and another count signal Lipschitz index advanced digital signal processing!)

《计算理论导引》(作者)[美] Michael Sipser(译者)张立昂 王捍贫 黄雄 机械工业2000年2月第1版.pdf(Computational Theory，(Author) [America] Michael Sipser (translator) Zhang Li Ang Wang Hanpin Wong Hung Machinery Industry in February 2000 1st edition. Pdf)

计算方法程序:多项式拟合(Calculation procedure: Polynomial Fitting)

高斯消元法、高斯列主元消元法解线性方程组。程序由本人独立完全独立完成。版权所有！(Gaussian elimination method out PCA Gaussian elimination method for solving linear equations. I am independent program consists entirely independently. All rights reserved!)

用VBA在Excel里实现分级计算，实现通过年终奖和月收入计算个人所得税的功能。数据为2012年最新的标准，对于会计电算化人员有非常强的实用性。(VBA in Excel to achieve grade calculated to achieve the functionality of the calculation of personal income tax through the end of the year Award and the monthly income. The data for 2012 the latest standards, computerized accounting personnel have a very strong practicability.)

说明：  数值分析中的chebyshev拟合程序，学习数值分析的同学可以参考参考(Numerical Analysis of chebyshev fit program, students study and numerical analysis can refer to reference)

同时辨识模型阶次及参数算法。用阶次递推算法，结合AIC法——利用赤池信息准则辨识上例的模型阶次和参数。(At the same time identify model order and parameters algorithm. By order recursive algorithm, combined with AIC method- the use of Akaike information criterion to identify the cases of the model order and parameters.)