应用fluent进行两相流的仿真

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)

说明：  本程序基于matlab进行了声波在固体中的仿真模拟。(This procedure carried out based on sound waves in matlab in the simulation of solid.)

山农的通信的数学方法。是信息论的奠基性文章。(Shannong mathematical methods of communication. Is the foundation of information theory article.)

GNU Scientific Library (GSL) 是一个用于科学计算的 C 语言类库。有超过1000个函数。 (GNU Scientific Library (GSL) is a C language library for scientific computing. There are more than 1000 functions.)

一种流形学习算法，用于非线性降维，文章发表在2000年science杂志上，是一种非常经典的算法。(A manifold learning algorithm for nonlinear dimensionality reduction, articles published in science journal in 2000, is a very classic algorithms.)

PLS部分最小二乘工具箱,数值分析的EULER法，matlab编写的元胞自动机。( PLS PLS toolbox, EULER numerical analysis method, matlab prepared cellular automata.)

基于全相位谱分析的相位差频谱校正法，结合了全相位FFT与传统FFT谱分析法。(Phase Difference Correcting Spectrum Method)

自己编的最小二乘参数辨识，已经调试，内附详细程序说明。(Their own series of least-squares parameter identification, has been commissioning, containing detailed description of the procedures.)

计算机常用数值算法与程序(C++版) (Commonly used numerical algorithm of computer and program )

说明：  支持向量机中的支持向量回归函数对数据进行预测(Support Vector Regression Function in Support Vector Machine to Predict Data)