Introduction_of_dbn

各种插值算法，高斯插值算法，线性插值算法，牛顿插值法，哈米特矩阵插值算法(Various interpolation algorithm, the Gaussian interpolation algorithm, linear interpolation algorithm, Newton interpolation, Hammett matrix interpolation algorithm)

别人的程序（Fortran）是关于边界元法求解声学问题。(Someone else' s program (Fortran) is on the boundary element method to solve acoustic problems.)

abaqus蠕变子程序,user中的实例(creep subroutine for abaqus user)

根据传输线理论，计算无耗传输线的输入输出阻抗，画图表示电压电流和阻抗随线路长的变化(Based on transmission line theory to calculate the input and output impedance of the lossless transmission line, drawing, said the change of voltage, current and impedance with the line length)

计算波导中四波混频效率，考虑线性损耗、自由载流子吸收损耗、双光子吸收损耗(FWM efficiency in silicon waveguide)

Fitting curve distribution function拟合曲线分布函数(Fitting curve distribution function)

描述了雷达sra成像等，用c语言开发 ，包含有fft等程序(Describes the radar imaging Sra, using c language development, contains the procedures fft)

地球科学（Fortran90）: 计算空间重力异常、扰动重力、垂线偏差或重力梯度的垂向梯度。 计算方式：数值积分、二维平面FFT、二维球面FFT或一维FFT。(Earth Science (Fortran90): calculate the gravity anomaly, gravity disturbance, the deflection of the vertical or gravity gradient vertical gradient. Calculation: numerical integration, FFT of the two-dimensional plane, two-dimensional spherical FFT or one-dimensional FFT.)

使用BP神经网络预测农产品的需求，论文在知网上应该就一篇。(Using neural network to predict the demand of agricultural products)

This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen. Usage for KMEANS is: KMEANS SOURCEFILE <enter> The format of the source file is: NPat - Number of patterns (int) SizeVect - Size of vector (int) NClust - Number of cluster centers(int) vect[1,1] ... vect[1,SizeVect] - vector 1 (real) vect[2,1] ... vect[2,SizeVect] - vector 2 (real) . . . . . . vect[NPat,1] ... vect[NClust,SizeVector] - vector N (real) To compile: ICC KMEANS.CPP <enter> (This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen. Usage for KMEANS is: KMEANS SOURCEFILE <enter> The format of the source file is: NPat - Number of patterns (int) SizeVect - Size of vector (int) NClust - Number of cluster centers(int) vect[1,1] ... vect[1,SizeVect] - vector 1 (real) vect[2,1] ... vect[2,SizeVect] - vector 2 (real) . . . . . . vect[NPat,1] ... vect[NClust,SizeVector]- vector N (real) To compile: ICC KMEANS.CPP <enter> )