AR

说明：  关于多智能体系统一致性的程序，解微分方程(Consistency of multi-agent systems program)

数学中计算曲线积分 数学工具中常用到这样的方法(Calculated curve integral mathematics math tools commonly used in such a way)

用谱方法计算流体力学一些流动现象的整体稳定性,MIMO OFDM matlab仿真,本程序的性能已经超过其他算法。( Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon, MIMO OFDM matlab simulation, This program has exceeded the performance of other algorithms.)

解线性方程组的迭代法 雅可比迭代、高斯—赛德尔迭代、超松弛迭代法 (Solving linear equations iterative method Jacobi iteration, Gauss- Seidel iteration SOR method)

自己编的5种调制信号，通过反复训练模板能有较高的识别率，DC-DC部分采用定功率单环控制。( Own five modulation signal, Through repeated training VxODOGFlate have higher recognition rate, DC-DC power single-part set-loop control.)

Colonial Competitive Algorithm

source code for simulating a DFA in compilers

belief propagation algrithm

一个非线性方程的matlap程序，杜芬方程的变异(A nonlinear equations matlap program, variation of Duffing equation)

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)