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mi
- 幂法求矩阵特征值的c语言实现,求具体矩阵,3阶矩阵-Power method for matrix eigenvalue c language, seeking specific matrix 3 matrix
EigenvalueDecomposition
- 矩阵的EigenvalueDecomposition分解,矩阵分解中一个非常重要的分解原理。-Eigenvalue decomposition of the matrix, the matrix decomposition decomposition of a very important principle.
opencv-doc
- 图像数据操作(内存分配与释放,图像复制、设定和转换) 图像/视频的输入输出(支持文件或摄像头的输入,图像/视频文件的输出) 矩阵/向量数据操作及线性代数运算(矩阵乘积、矩阵方程求解、特征值、奇异值分解) 支持多种动态数据结构(链表、队列、数据集、树、图) 基本图像处理(去噪、边缘检测、角点检测、采样与插值、色彩变换、形态学处理、直方图、图像金字塔结构) 结构分析(连通域/分支、轮廓处理、距离转换、图像矩、模板匹配、霍夫变换、多项式逼近、曲线拟合、椭圆拟合、狄劳尼三角化)
xpyqr
- 匹配追踪和正交匹配追踪,用谱方法计算流体力学一些流动现象的整体稳定性,AHP层次分析法计算判断矩阵的最大特征值。- Matching Pursuit and orthogonal matching pursuit, Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon, Calculate the maximum eigenvalue jud
ne642
- AHP层次分析法计算判断矩阵的最大特征值,matlab实现了五类灰色关联度模型的计算,计算两个矩阵之间的欧氏距离。- Calculate the maximum eigenvalue judgment matrix of AHP, matlab implements five gray correlation degree computing model, Calculation of the Euclidean distance between the two matrices.
0452
- 采用偏最小二乘法,AHP层次分析法计算判断矩阵的最大特征值,时间序列数据分析中的梅林变换工具。- Partial least squares method, Calculate the maximum eigenvalue judgment matrix of AHP, Time series data analysis Mellin transform tool.
ydqmx
- 利用自然梯度算法,计算多重分形非趋势波动分析,AHP层次分析法计算判断矩阵的最大特征值。- Use of natural gradient algorithm, Calculate the multifractal trend fluctuation analysis, Calculate the maximum eigenvalue judgment matrix of AHP.
dxaqg
- 多机电力系统仿真及其潮流计算,各种kalman滤波器的设计,AHP层次分析法计算判断矩阵的最大特征值。- Multi-machine power system simulation and flow calculation, Various kalman filter design, Calculate the maximum eigenvalue judgment matrix of AHP.
sc428
- 包含收发两个客户端程序,D-S证据理论数据融合,AHP层次分析法计算判断矩阵的最大特征值。- Transceiver contains two client programs, D-S evidence theory data fusion, Calculate the maximum eigenvalue judgment matrix of AHP.
hangnan-V4.4
- 高斯白噪声的生成程序,包括脚本文件和函数文件形式,AHP层次分析法计算判断矩阵的最大特征值。- Gaussian white noise generator, Including scr ipt files and function files in the form, Calculate the maximum eigenvalue judgment matrix of AHP.