Householder method least squares problems. Avoid conventional methods encountere...

本程序由kyungsang基姆制作。如果你有问题或问题，发送电子邮件到me.kssigari@gmail.complease试试这些测试步骤1。模拟器是用于测量投影。2。demo2是解析重建众所周知过滤backprojection3。Demo3 is the iterative reconstruction using the maximum likelihood expectation maximization (MLEM) method.nx: number of image pixels of x-directionny: number of image pixels of y-directionnz: number of image pixels of z-directionsx: real size (length) of x-axis of the image -> resolution of a pixel = sx/nxsx: real size (length) of y-axis of the image -> resolution of a pixel = sy/nysx: real size (length) of z-axis of the image -> resolution of a pixel = sz/nznu: number of detector pixels of x-direction (u)nv: number of detector pixels of z-direction (axial) (v)su: size of real (length) of detector u-direction -> resolution of a pixel = su/nusv: size of real (length) of detector v-direction -> resolution of a pixel = sv/nvDSD: distance between source to detectorDSO: distance between source to iso-center (image center).dir: rota

96位大数运算实现-96 big number operation realizes

Exceptional C++ shows by example how to go about solid software engineering. Along with a lot of other material, this book includes expanded versions of the first 30 issues of the popular Internet C++ feature Guru of the Week (or, in its short form, GotW), a series of self-contained C++ engineering problems and solutions that illustrate specific design and coding techniques.

输入原始数据，选择增量序列，通过希尔排序算法，得到升序排列的新数据，算法逻辑细致，实现简单，能有效地处理数据排序问题。

数值分析最常用的四十种算法，使用c++/matlab实现-numerical analysis of the 40 most commonly used algorithms, the use of c/Matlab achieve

% Function: [class,type]=dbscan(x,k,Eps) % ------------------------------------------------------------------------- % Aim: % Clustering the data with Density-Based Scan Algorithm with Noise (DBSCAN) % ------------------------------------------------------------------------- % Input: % x - data set (m,n); m-objects, n-variables % k - number of objects in a neighborhood of an object % (minimal number of objects considered as a cluster) % Eps - neighborhood radius, if not known avoid this parameter or put [] % ------------------------------------------------------------------------- % Output: % class - vector specifying assignment of the i-th object to certain % cluster (m,1) % type - vector specifying type of the i-th object % (core: 1, border: 0, outlier: -1)

VC编写的最小二乘法算法，适用于3阶方程，可编译为链接库文件。-VC prepared by the method of least squares algorithms for three-order equation can be compiled to link library file.

一个简单的计算器程序，进行简单的数学计算，正确无误-A simple calculator program to carry out simple mathematical calculations are correct

群微粒算法：本算法用群微粒算法求目标函数的最大值 //本算法使用步骤 // （1）派生自己的群微粒类，类中必须定义double GetFit(PARTICLE&)方法，用来计算每个微粒的适合度 // （2）生成派生类实例，并在构造函数中指明微粒坐标维数和群体个数 // （2）设置微粒坐标上界数组和下界数组，并用SetXup与SetXdown设置微粒坐标上下界 // （3）用SetVmax方法设置微粒最大速度 // （4）设置可选参数：C1，C2，W和通讯函数 // （5）采用Run方法进行优化运算，优化后用GetBest方法获得最优个体适合度和坐标