dijkstraties

Edge detection result should be enhanced using linear method like Median filter to remove the garbage around the pupil to gain clear pupil to determine perfect centre. Get the centre of the pupil by counting the number of black pixels (zero value) of each column and row. Then get each row and column that has the maximum number of these black pixels. Then determine the center by simple calculation according to the image coordinate to set it correct on the image, consequently we can determine the radius of the pupil. Thus we can find the pupillary boundary (inner). A similar procedure is extended by using a coarse scale to locate the outer boundary (limbus) which can be apparent by using the mid-point algorithms of circle and ellipse.

OPtiFDTD reference OptiFDTD Technical Background and Tutorials Time Domain Photonics Simulation Software

英文版书籍，学生版学习matlab的书籍，非扫描版。(English books, student books to learn matlab, non-scan version.)

matlab实现图上需找最短路径的迪杰斯特拉算法，寻找任一点和其他点之间的最短距离，最终结果为最短路径度量矩阵和正序路由矩阵(matlab implementation on the map to find the shortest path Dijkstra algorithm to find the shortest distance between any point and other points, the final result is the shortest path metric matrix and positive sequence routing matrix)

一种混杂粒子群优化算法，通过单纯形加速优化过程(A hybrid particle swarm optimization algorithm, to accelerate the adoption of simplex optimization process)

《MATLAB程序设计教程》一书的源代码( MATLAB Programming Tutorial the book s source code)

在matlab的环境下实现了自回归移动平均模型（arima）(Matlab environment in the realization of the auto-regressive moving average model (arima))

On the implementation and usage of SDPT3 – a Matlab software package for semidefinite-quadratic-linear programming, version 4.0

说明：  有限元的四边形剖分程序，可用于有限元求解磁场，电场等问题是的区域划分中(fem use to answer EMT )

SkewT分布是近年来得到广泛使用的一种参数化分布。区别于传统的正太分布、学生-t分布，SkewT分布除了具有厚伟特征之外，还引入了偏斜特征。该分布对于金融领域的研究与应用具有十分重要的价值。当然，也是一个重要的统计工具。SkewT分布由Bruce E. Hansen(1994)构造，本源码包括SkewT分布的密度函数、累计概率、随机数生成、理论矩。(SkewT distribution has been widely used recently. Different from traditional Normality and Student-t distribution, SkewT parameterizes both tail-thickness and skewness. SkewT is valuable to financial applications and studies, and other statistic tool. SkewT is firstly introduced by Bruce E. Hansen(1994). This package includes M files on the density of SkewT, CDF, random number generator and theoretical moments of SkewT.)