求解无约束优化问题wolfe

递归神经网络-实时学习训练算法代码，亲测可用，简洁无误，容易上手。( Recursive neural network- real-time learning training algorithm code, pro-test available, simple and correct, easy to use.)

最小二乘估值的SVD分解计算方法，本程序可将最小二乘估值问题转化为超定方程组的问题处理，且可用奇异值分解的方法计算最小二乘问题。(Least Squares Estimates of the SVD decomposition method, the valuation process can be transformed into squares overdetermined equations deal with the problem, and can be calculated singular value decomposition least squares problem.)

对常微分方程进行数值解的matlab函数(Matlab function for numerical solution of ordinary differential equation)

该函数用来计算任意函数的一阶偏导数(数值方法),使用大量的有限元法求解偏微分方程，基于kaiser窗的双谱线插值FFT谐波分析。( This function is used to calculate the arbitrary function of the first order partial derivative (numerical methods), Using a large number of finite element method to solve partial differential equations, Dual-line interpolation FFT harmonic analysis kais)

create random function -

关于用户自定义标量输运（UDS)中非定态情况下的代码源项，主要用于非稳定流动的物质输运的耦合(On the code of the user-defined scalar transport (UDS) Central Africa steady state case the source terms, mainly for non-steady flow of the coupling of mass transport)

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)

多目标遗传算法求解多目标优化问题的实际例子，运用matlab编写(Multi-objective Genetic Algorithm for multi-objective optimization problem actual examples, the use of Matlab prepared)

算符优先的计算器，用于编译原理的课程作业(caculator for opp)

本例实现了插值函数，将不同次数的插值进行了显示，防止了龙格现象，研究生一般以此题为作业。(The cases to achieve interpolation function, the number of different interpolation were shown to prevent the Runge phenomenon, in order to graduate generally entitled operations.)