搜索资源列表
h12
- C环境下矩阵运算类,包含矩阵的基本操作,另有其范数,均值等特殊函数-C environment matrix category, including the basic matrix operations, otherwise its norm, the mean number of special function
TVL1_HCS_v1
- % May 2010 % This matlab code implements TVL1 based Hybrid Compressive Sensing using LSQR. % Only suitable the small scale data due to the costly storage and computation. % % A - M x N measurement matrix: random sampling alone or hybrid sampling (ran
vector
- class for work with 3d Vectors: add, sub, saclar multiple, cross multiple, norm, div
norm
- A source code of function which convert image from RGB scale - space into normalized RGB scale - space, using Visual C++ 2008 and OpenCV library. Normalized RGB scale - space can be used in color detection techniques, because this is independent
norm
- TSP traveling salesman problem C++ solution
lbfgs
- This submission contains an interface to a LBFGS-code for unconstrained minimization problems of the form min_{x} f(x) + c*|\tilde{x}|, where x are the parameters, f is a scalar valued real function, c is a positive scalar (default value=0), |.|
shuzhifenxi1
- 数值分析中通过幂法和反幂法计算矩阵的特征值和特征向量,计算出矩阵的谱范数和行列式,通过c实现-Numerical analysis by the power method and the inverse power method to calculate the matrix eigenvalue and eigenvectors calculated the spectral norm of the matrix and the determinant c achieve
fuzzy
- Fuzzy c-means clustering (FCM) with spatial constraints (FCM_S) is an effective algorithm suitable for image segmentation. Its effectiveness contributes not only to introduction of fuzziness for belongingness of each pixel but also to exploitat
Zero
- Fast Numerical Computational C++ lib: Including the following classes: class Complex • class ComplexVector • class ComplexMatrix • class RealVector • class RealMatrix • class Kronecker • class Gauss_Jorda
Parafac codes
- PARAFAC源程序,可以用于平行因子分析处理的算法,很全很好用(unction [A,B,C,LLF,I,J,K] = parafac(XPK,I,N,epsilon) % PARAFAC Parallel factor analysis for an three-way data array % The iterative process is continued until that m > 300 or ABS((LF(m)-LF(m-1)) % /LF(m-1)) is l