Neandla

四阶龙格库塔法，用C++编写，很有参考价值(Fourth-order Runge-Kutta method, written in C, a good reference)

MFC编写的计算器，基本功能都已实现，加速键没有实现(Written in MFC calculator, basic functions have been achieved, not achieved accelerator)

C++实现的FFT，详细，简单，内含多个测试类(using C++ implements fft，including serials class)

第一个把专家青睐的数学模型技术（NNM 算法模型）引入词汇记忆软件中，并取得了巨大的成功。NNM 算法模型与经典的“艾滨豪斯遗忘曲线”真正的融合于一体，使得该著名的理论在计算机与数学模型下第一次得到了淋漓尽致的发挥。(First a mathematical model of the popular technology expert (NNM algorithm model) the introduction of vocabulary learning software, and has achieved great success. NNM algorithm model and the classic " Ai Bin House forgetting curve" true integration in one, making the well-known theory in computer and mathematical models has been most vividly the first time under play.)

说明：  矩阵的转置，相乘及界面的面换稀疏矩阵的三元组相加(Sum of the transpose of the matrix, multiplying, and interfacial surface replacing the sparse matrix triples)

fluent多相流DPM模型中使用用户自定义函数对颗粒进行统计(DPM fluent multiphase flow model using user-defined functions for particle statistics)

基于时间序列法的超短期电力负荷预测 利用时间序列法进行数学建模(Mathematical modeling based on very short-term power load time series forecasting using time series method)

fft混合基算法，c代码实现，可移植混合基的傅立叶变换算法(fft-based hybrid algorithm, c code, portable hybrid-based Fourier transform algorithm)

说明：  Optics聚类算法 OPTICS没有显示地产生一个数据集合簇，它为自动和交互地聚类分析计算一个簇次序。这个次序代表了数据基于密度地聚类结构。它包含地信息，等同于从一个宽广地参数设置范围所获得的基于密度的聚类(Optics do not show clustering algorithm OPTICS to produce a collection of data clusters, it is automatically and interactively computing cluster analysis a cluster order. This order represents the data to cluster based on the density structure. It contains in information from a broadly equivalent range of parameters obtained by density-based clustering)

在VS2005环境下，使用CUDA编程实现SAR成像中CSA算法的实现，得到了很好的加速比。(In the VS2005 environment, using the CUDA programming SAR imaging algorithm implementation in the CSA, has been very good speedup.)