fdk-f

这是宇航学报的关于　基于卡尔曼滤波的盲多用户检测的文章　希望对大家有所帮助(This is the space of Kalman filter based on blind multiuser detection of articles want to help you)

浙江大学何晓飞写的数据降维基本算法，对初学者很有帮助(Zhejiang university HeXiaoFei wrote down the wiki data algorithm for beginners helpful )

用Fortran编写的非线性优化软件，具有一定的智能搜索功能(used in Fortran program)

nsolgm 算法 是求解非线性方程组的一种非常有效而且又快捷的方法(nsolgm algorithm for solving nonlinear equations is a very effective and efficient way and)

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)

Legendre polynomial fitting(勒让德多项式拟合) 该算法程序找出N阶勒让德多项式你的的权值系数 (Legendre polynomial fitting (Legendre polynomial fitting) procedures to identify the algorithm N-order Legendre polynomials your weight coefficient)

桁架结构非线性有限元分析程序，可以进行结构分析，应用于钢架结构，考虑材料非线性。(Truss material nonlinear finite element analysis program, can be use in civil engineering.)

Python 科学计算 的好书,该书主要是在python环境下进行科学计算，非常的棒(Python scientific computing books, the book is mainly for scientific computing in python environment, is the bar)

说明：  MATLAB的一个使用工具箱，LINGO11汉化无限变量版。(A toolbox of MATLAB, LINGO11 Chinese Infinite Variable Edition.)

说明：  独立分析 主成分分析 可以提取矩阵独立成分与主成分，显示空间特征与时间特征以及对应的奇异分析用于计算能进行奇异值分解等。主要用于数值的提取计算等。(It can extract the independent and principal components of matrix, display the spatial and temporal characteristics, and use the corresponding singular analysis to calculate the singular value decomposition. It is mainly used for extraction and calculation of numerical value.)