资源列表
lms
- 基于lms的系统辨识的matlab仿真有点小问题-Based on the LMS system identification of the matlab simulation a bit small problem
Algorithm
- csharp版常见数值计算源码，包括矩阵计算、插值、线性方程和非线性方程等-CSharp version of common-source numerical computation, including the matrix calculation, interpolation, linear equations and nonlinear equations, such as
vchome
- 是一本讲序_数据结构与算法综合。里面讲了很多经典的算法。值得一看。-Is a sequence stresses _ integrated data structure and algorithm. Which stresses a lot of the classic algorithms. Worth a visit.
split_step_fourier_method
- 非线性薛定谔方程代码
3000!
- 这里是通过数组求大数阶乘的一种方法，这里类举3000，其他的类推-This is the factorial of large numbers through the array for a way to cite here, type 3000, the other by analogy
k_means_upde
- 不使用欧式距离，而是采用相关性对数列进行聚类-Do not use Euclidean distance, instead of using the related series of cluster
integrate(nu)
- This GUI can be used by entering nu at the MATLAB command prompt. The user can either select a function (f(x)) of their choice or a statistical distribution probability distribution function to plot over a user defined range. The function s integral
Gauss3D
- Will perform 3D Gaussian quadrature over a user-defined volume. The volume is defined by the user with function definitions entered in the appropriate spaces provided on the GUI. The user can change the number of Gauss points to use. Function input
integratedgradient
- The inverse of the gradient function. I ve provided versions that work on 1-d vectors, or 2-d or 3-d arrays. In the 1-d case I offer 5 different methods, from cumtrapz, and an integrated cubic spline, plus several finite difference methods. In h
cxiaoxingqiye
- 用c++编的N个实例子， 有参考价值-With c++ Allocation of N examples son, a reference value
math
- 通过C语言编程实现数值计算方法中的雅可比迭代，输入各个方程组的系数和迭代次数可以得到方程的精确解和中间计算结果。另外方程组未知数的个数可以自行设定。-Through the C language programming to achieve numerical method of Jacobi iteration, enter all equations of the coefficients and number of iterations can be exact solutions of
NLMDL
- 统计模块的 C++源程序 ,可以用来计算统计数据. -Statistics module C++ Source can be used to calculate the statistics.