mk

An example of using a matrix object in order to pass values and complete a function.

Delphi实现最小二乘法，进行多点拟合，目前支持4点拟合(Delphi realizes the least square method and multi-point fitting. At present, it supports four-point fitting.)

张学工老师模式识别第一次作业，用贝叶斯方法和正态分布的监督参数估计对身高体重二维数据进行性别分类(Zhang engineering teacher pattern recognition for the first time operations, using Bayesian methods, and the supervision of normal height and weight of two-dimensional parameter estimation of the gender-disaggregated data)

说明：  模糊控制的C语言实现，双输入单输出，采用查表法进行模糊推理，去模糊方法采用重心法，易于单片机实现(C language realization of fuzzy control, double input and single output, using look-up table method for fuzzy reasoning, using center of gravity method for deblurring, easy to realize by single chip computer)

说明：  虽然现在网上的FFT程序很多，但是有的结果是错误的，比如说，经过一次正反变换后，不能得到原来的数列，所以，本人测试了多个程序，提供几个能用的，给大家，希望大家支持！ (Although many online FFT program, but some results are wrong, for example, through a positive and negative change, you can not get the original series, so I tested several programs to provide a few usable for everyone I hope we can support!)

用以计算nscat地球物理模型函数的程序！(This is a program for calculating the nscat geophysical model.)

圆面上的点到圆心的距离 圆面上的点到圆心的距离 圆面上的点到圆心的距离 圆面上的点到圆心的距离(Round surface of the distance from point to circle center point of the surface of the distance to the center circle to the center point of the surface of the distance from the surface point to the center circle distance)

三角形网格上的线性有限元方法求解Helmholtz问题，多项式重构以及Richardson外推(solve the Helmholtz equation with robin boundary condition on triangulation mesh, PPR and Richardson extrapolation)

利用matlab实现的部分CFD功能的代码，很有参考价值(Matlab to achieve part of the CFD function of the code, a very valuable reference)

稀疏矩阵的DIA/ELLPACK/COO/CSR/HYB表示形式，以及各表示形式下的稀疏矩阵乘法（稀疏大矩阵*矢量）的CUDA实现。对于矩阵中每一行稀疏元素个数较统一的情况，ELLPACK表示最佳，其次是HYB（ELL+COO）。 CUDA™ 是一种由NVIDIA推出的通用并行计算架构，该架构使GPU能够解决复杂的计算问题。 它包含了CUDA指令集架构（ISA）以及GPU内部的并行计算引擎。 开发人员现在可以使用C语言来为CUDA™ 架构编写程序(Sparse matrix DIA/ELLPACK/COO/CSR/HYB representation, as well as the representation of the sparse matrix multiplication (large sparse matrix* vector)' s CUDA implementation. For each row of the sparse matrix representing the number of elements the case of unification, ELLPACK that the best, followed by HYB (ELL+COO). NVIDIA CUDA ™ is introduced by a general purpose parallel computing architecture that makes the GPU to solve complex computational problems. It contains the CUDA Instruction Set Architecture (ISA) and the GPU parallel computing engine. Developers can now use the C language to write programs for the CUDA ™ architecture)