utxcr

是用MATLABA编写的遗传运算发的一个小程序 挺好用的 大家(MATLABA is prepared by the genetic operator issued a small procedure very well, we try to use)

这是一个关于数字预失真功能仿真的matlab程序，效果不错，希望对大家有所帮助。(This is a matlab program about function estimation of digital estimation,and it has a good performance,really hope it can help you.)

说明：  ABAQUS 的二次开发,详细注释说明，自学ABAQUS的二次开发(ABAQUS secondary development, detailed notes, self-study ABAQUS secondary development)

划分网格一个开源的库，有限元的算法，很好用(Meshing an open source library = for finite element)

说明：  经验正交函数分析FORTRAN程序，用于变量场的时空结构分离（配套书籍《现代气候统计诊断与预测技术》）。(empirical orthogonal function, FORTRAN procedure, used to separate the spatio-temporal structure of climate variables.)

数值计算实例，主要有LU分解，龙格库塔法，高斯分解法，欧拉法，曲线拟合，曲线插值(Numerical example)

计算离散傅里叶变换的一种快速算法，简称FFT。快速傅里叶变换是1965年由J.W.库利和T.W.图基提出的。采用这种算法能使计算机计算离散傅里叶变换所需要的乘法次数大为减少，特别是被变换的抽样点数N越多，FFT算法计算量的节省就越显著。(A computing discrete Fourier transform fast algorithm, referred to as FFT. Fast Fourier Transform in 1965 by the JW Cooley and TW Tuji Ti out. Using this algorithm enables a computer to calculate the number of multiplications needed for the discrete Fourier transform greatly reduced, especially sampling points N is transformed more and save FFT algorithm to calculate the amount of the more remarkable.)

一阶偏微分方程的基础知识，很容易入门,很多工程处理要用到的(Introduce the basic knoeledge of Partial Differential Equation)

第一个把专家青睐的数学模型技术（NNM 算法模型）引入词汇记忆软件中，并取得了巨大的成功。NNM 算法模型与经典的“艾滨豪斯遗忘曲线”真正的融合于一体，使得该著名的理论在计算机与数学模型下第一次得到了淋漓尽致的发挥。(First a mathematical model of the popular technology expert (NNM algorithm model) the introduction of vocabulary learning software, and has achieved great success. NNM algorithm model and the classic " Ai Bin House forgetting curve" true integration in one, making the well-known theory in computer and mathematical models has been most vividly the first time under play.)

这是一个数值计算Fortran程序，将矩阵进行奇异值分解，SVD.txt存放待分解的矩阵，u.dat,v.dat为分解后的左右矩阵，qiyizhi.dat和qiyizhi0.dat为得到的奇异值。(This is a numerical Fortran program matrix singular value decomposition, SVD.txt store to be factored matrix, u.dat, v.dat about decomposition of the matrix, qiyizhi.dat and singular value obtained qiyizhi0.dat .)