Test for KNN

说明：  Dijkstra算法与Floyd算法的matlab实现，以求解最短路问题(Dijkstra algorithm and Floyd algorithm matlab realize in order to solve the shortest path problem)

应用牛顿法的直角坐标系下的33节点潮流计算(33 node flow calculation)

用Fluent VOF模型模拟单个小水滴落入盛水的水杯之中(Fluent VOF model simulations using a single drop falling into a water glass)

二元二次多项式曲面拟合法的Matlab实现，含有M文件及数据文件示例(Binary quadratic polynomial surface fitting Matlab, contain the M-file and the data file example)

包括基本的克里金(Kriging)插值法实现代码，仅实现基本方法部分，不包含扩展克里金方法( kriging uses ordinary kriging to interpolate a variable z measured at locations with the coordinates x and y at unsampled locations xi, yi. The function requires the variable vstruct that contains all necessary information on the variogram. vstruct is the forth output argument of the function variogramfit. This is a rudimentary, but easy to use function to perform a simple kriging interpolation. I call it rudimentary since it always includes ALL observations to estimate values at unsampled locations. This may not be necessary when sample locations are not within the autocorrelation range but would require something like a k nearest neighbor search algorithm or something similar. Thus, the algorithms works best for relatively small numbers of observations (100-500). For larger numbers of observations I recommend the use of GSTAT. Note that kriging fails if there are two or more observa)

实现矩阵转置并且方便观看，第二个程序用于进行对海表面高度SSH进行EOF分析，第三个程序进行海陆点分离并写为NC文件(Matrix transpose and convenient to watch the second program for the EOF analysis of sea surface height SSH third program separation of land and sea, and write for NC files)

NSGA2 and MOPSO algorithms

常微分方程求解的搜索延拓法，克服了Newton-Raphson法对初值问题影响过大的问题(Solving Ordinary Differential Equations search continuation method to overcome the Newton-Raphson method for initial value problem of the impact of the problem is too large)

平面应力、平面应变有限元数值计算,适合于有限元编程入门(plane stress and plane strain for numerical calcualtion)

包含了悉尼科技大学徐亦达老师的课程课件，有贝叶斯理论、EM算法、卡尔曼滤波、HMM、粒子滤波、概率论相关知识等(The file includes knowledge about EM, HMM, particle filter, kalman filter and so on.)