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- 带双步的QR分解方法求所有特征值，以及反幂法求解对应特征向量-two-steps-qr-descomposure to solve all eigenvalues of a matrix. and antipower method to solve a engenvector correspongding to the eigenvalue
LanczosandCG
- 在数值分析中，比较CG和Lanczos的计算结果.并比较了不同特征值情况下的计算结果。-in numerical value analyse, Compare the CG and Lanczos, futher more, we compare the CG and Lanczos in the different eigenvalue.
tezhengzhi
- 本程序为求矩阵的最大特征值、全部特征值和特征向量，应用乘幂法和雅可比过关法-This procedure for the sake of the largest eigenvalue matrix, all eigenvalues and eigenvectors, applications by a power law and the Jacobi clearance method
eigenvaluebypower
- 幂法和反幂法求举证的绝对值最小和最大特征值-Power law and inverse power law seeking proof of the absolute value of the minimum and maximum eigenvalue
Matrix
- 矩阵特征值计算包括使用matlab中原有的功能和开发后的功能。-Matrix eigenvalue calculation include the use of matlab functions and development of the Central Plains and some post-functions.
001
- 幂法和反幂法求解矩阵的特征值。数值分析大作业-Power method and inverse power method to solve the eigenvalue of matrix.
work1
- 计算一个501×501带状矩阵的最大特征值、最小特征值、谱范数条件数和行列式值。內附完整的问题描述说明文档。-Calculating a 501 × 501 matrix band maximum eigenvalue, the smallest eigenvalue, spectral norm condition number and determinant values. Included a complete descr iption of the problem.
anp
- NP是美国匹兹堡大学的T.L.Saaty 教授于1996年提出了一种适应非独立的递阶层次结构的决策方法，它是在网络分析法（AHP）基础上发展而形成的一种新的实用决策方法。其关键步骤有以下几个： 1 确定因素，并建立网络层和控制层模型。 2 创建比较矩阵。 3 按照指标类型针对每列进行规范化。 4 求出每个比较矩阵的最大特征值和对应的特征向量。 5 一致性检验。如果不满足，则调整相应的比较矩阵中的元素。 6 将各个特征向量单位化(归一化)
sample-rate-conversion
- 内容包括:解线性代数方程组,插值,数值积分,特殊函数,函数逼近,特征值问题,数据拟合,方程求根和非线性方程组求解-VB -Include: solving linear algebraic equations, interpolation, numerical integration, special functions, function approximation, eigenvalue problem, the data fit the equation and non-linear eq
Image2Html
- 内容包括:解线性代数方程组,插值,数值积分,特殊函数,函数逼近,特征值问题,数据拟合,方程求根和非线性方程组求-Include: solving linear algebraic equations, interpolation, numerical integration, special functions, function approximation, eigenvalue problem, the data fit the equation Roots and nonlinear eq
eigenvalue
- Power method of solution for highest/lowest eigen value
damsafety
- 1、能够快速计算各测点的最大值、最小值、平均值、变幅、最大值对应的日期、最小值对应的日期； 2、除了取得最值所对应的日期外，还可以设置参数，取得最值对应的气温、降雨、上下游水位等等； 3、能够求的各测点全部时间内的最值及其对应的日期、温度等，即能够实现全系列特征值统计； 4、能够实现某一段时间或者某一年的特征值统计，即能够实现时间段的局部特征值统计。-1, able to quickly calculate the various measuring points ma
irbleigs
- IRBLEIGS: Finds a few eigenvalues and eigenvectors of a Hermitian matrix. IRBLEIGS will find a few eigenvalues and eigenvectors for either the standard eigenvalue problem A*x = lambda*x or the generalized eigenvalue problem A*x = lambda*M*x, whe
qr_eigenvalues
- qr法求特征值和特征向量 QR法能够避免矩阵奇异带来的错误，并能求解特征值有重根的情况-qr France seek eigenvalues and eigenvectors QR method can avoid the matrix singularity caused by errors, and can solve the eigenvalue of the double roots
Matrix_enginValue
- 求矩阵特征值的并行算法，MPI程序，不知道有没有用-Demand matrix eigenvalue of the parallel algorithms, MPI procedure, do not know if there is no use
konwlege
- 讲述时序序列的聚类，其中讲述了如何获得最优的特征值-About the timing sequence of the cluster, which describes how to obtain the optimal eigenvalue
03
- 规范化乘幂法计算公式 幂乘法求主特征值-Standardized formula for calculating power of France by power multiplication Lord eigenvalue
MatEV
- 求解任意阶矩阵特征值的数值算法，并附有完整的算法流程和计算结果说明-Solving Arbitrary-order numerical matrix eigenvalue algorithm, along with the complete algorithm processes and calculation results show
sign_flip
- Descr iption Although the Singular Value Decomposition (SVD) and eigenvalue decomposition (EVD) are well-established and can be computed via state-of-the-art algorithms, it is not commonly mentioned that there is an intrinsic sign indeterminac
SVDBasedImageQualityMeasure
- Eigenvalue and Singular Value Decompositions