资源列表
sas
- 运用sas对散点进行非线性回归的模拟，得到较好的结果。-Sas on the use of non-linear regression to scatter the simulation, get a better result.
bag_program
- 0-1背包问题，算法设计中最常见也是最经典的问题，希望对学习算法的有所帮助-0-1 knapsack problem, algorithm design of the most common and most classic problems in the hope of learning algorithms help
bisect0
- 运用二分法求解非线性函数F(x)=0，应用的是Fortran90语言编写。-The use of dichotomy for Nonlinear Function F (x) = 0, application of the Fortran90 language.
11
- 求解特征值和特征向量，并为特征值排序。以解决问题。-solve eigenvalue and eigenvector
fft
- 本程序是一个用C语言实现的时间抽取FFT算法程序。程序输入采用两个参数。-This program is a C language implementation time extraction FFT algorithm program. The program input takes two parameters.
Richar-wavelet
- 雷克子波是地震勘探中广泛应用的一种子波，作为震源向地下传播，经过反射界面后反射回地面被接受。-Ricker wavelets wave is a widely used in seismic exploration, communication to the ground as the source, after reflection interface reflection back to the ground to be accepted.
SA
- 模拟退火算法的MATLAB实现，通过赋予搜索过程一种时变且最终趋于零的概率突跳性，从而可有效避免陷入局部极小并最终趋于全局最优的串行结构的优化算法。-MATLAB implementation of simulated annealing algorithm, a search process by giving time-varying and ultimately tends to zero the probability of jumps, which can effectively av
PF
- 基于matlab的粒子滤波PF程序，是一种较好的非线性滤波方法，希望促进大家的理解。-PF-based particle filter matlab program, is a good non-linear filtering method, we hope to promote understanding.
burgaic
- 基于AR模型参数的BP神经网络模式分类，包括特征提取和神经网络训练-BP neural network model is based on the classification of AR model parameters, including feature extraction and neural network training
ex2
- 以二元运算为例，用阻塞型点对点通信函数实现了MPI_Scan的功能。-In a binary operation, for example, by blocking peer communication function implements the MPI_Scan function.
rsgeng
- matlab 产生高斯随机粗糙面的函数 输入变量为点数 长度 相关长度 均方根高度-Matlab generated Gaussian random rough surface function of the input variables for the length of the relevant length of the length of rms height
BP_ANN
- 计算机神经网络（BP）的演示例程，有详细的资料与演示步骤，以供初学神经网络算法的人使用。-Computer network (BP) demonstration routines, with detailed information and presentation steps for beginners to use neural network algorithm.