AKMC-_TIS_Solute-

ADINA 系统是一个单机系统的程序，用于进行固体、结构、流体以及结构相互作用的流体流动的复杂有限元分析。借助 ADINA 系统，用户无需使用一套有限元程序进行线性动态与静态的结构分析，而用另外的程序进行非线性结构分析，再用其他基于流量的有限元程序进行流体流动分析。此外， ADINA 系统还是最主要的、用于结构相互作用的流体流动的完全耦合分析程序（多物理场）。(ADINA System is a stand-alone system program for performing complex fluid flow finite element solid structure, and fluid structure interaction analysis. With ADINA system, users do not need to use a finite element program linear static and dynamic structural analysis, but with additional nonlinear structural analysis program, and then the other program flow based on finite element analysis of fluid flow. In addition, ADINA system or main, fully coupled analysis program for fluid flow structure interaction (multi-physics).)

边界元法，可以求解外声场、内声场,在此基础上可以开发出快速边界元法(boundary element method for acoustic problem)

计算重力异常,只需要输入最大重力场模型的最大阶数以及重力场模型文件名在程序里设置经纬度范围和间隔即可得到重力异常(Gravity anomaly)

abaqus Umat 计算复合材料的损伤问题，可以学习一下(abaqus umat subroutine for damage of the composite material)

最小二乘曲面拟合程序（m文件），对一组三维数据z=f(x,y)拟合，成为关于x和y的多项式(least squares fitting procedure Surface (m), a group of three-dimensional data z = f (x, y) fitting, be on the x and y polynomial)

Faran散射模型，能够计算液体中球形物体的散射声压(The Faran scattering model, able to calculate the scattering of spherical objects in the liquid sound pressure)

C# 计算机图形学 基础 图形变换 实现基础的平移，旋转，缩放等功能。通过鼠标左右键确定所绘矩形。 窗体界面。欢迎交流

混合高斯分布的em算法，e步和m步，输出各参数值(mixture of gaussian,em)

这是几篇关于粒计算在故障诊断中的应用，对学习粒计算的应用很有帮助。(This is a few on Granular Computing in Fault Diagnosis of learning the application of granular computing helpful.)

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> )