Complex eigenvectorsFrequency responseSensitivityRepeated natural frequenciesThis paper presents algorithms to compute eigenvalues, eigenvectors and frequency response matrix of a linear structure with non-prop
eigenvectorseigenvalues/ B0210 Algebra C1110 Algebra C4140 Linear algebra (numerical analysis)Many engineering and scientific applications require the computation of eigenvalues (and eigenvectors) of very large symmetric or Hermitian matrices. We describe a Lanczos procedure which allows us to compute ...
Computation of fuzzy eigenvalues and fuzzy eigenvectors of a fuzzy matrix is a challenging problem. Determining the maximal and minimal symmetric solution can help to find the eigenvalues. So, we try to compute these eigenvalues by determining the maximal and minimal symmetric solution of the fully ...
Iterative methods for computing eigenvalues and eigenvec- tors. The Waterloo Mathematics Review, 1(1):9-18.Maysum Panju "Iterative Methods for Computing Eigenvalues and Eigenvectors" University of Waterloo, http://mathreview.uwaterloo.caMaysum Panju, Iterative Methods for Computing Eigenvalues and...
Quantum algorithm providing exponential speed increase for finding eigenvalues and eigenvectors. Phys. Rev. Lett. 83, 5162 (1999). Article ADS MATH Google Scholar Shor, P. W. Fault-tolerant quantum computation in Proc. 37th Conference on Foundations of Computer Science (IEEE, 1996), pp. 56-...
(eigenvalues and eigenvectors) incubate precious topological information about the network at hand, including connectivity, partitioning, node distance and centrality. Real networks might be very large in number of nodes; luckily, most real networks are sparse, meaning that the number of edges (binary...
mata: eigenvectors2 = 0 mata: symeigensystem(A,eigenvalues2,eigenvectors2) mata: eigenvalues2 In this case, eigenvalues1 does not equal eigenvalues2. I believe the results yielded by STATA (i.e. eigenvalues1) are what I'm looking for. ...
Eigenvalues and Eigenvectors Solving eigenvalue and eigenvector problem: Ax = kx To solve Ax = kx, we use the two norm square of Ax - kx. If any k and x satisfies Ax = kx, then the absolute value Ax - kx satisfies the minimum value 0. Paper: https://www.sciencedirect.com/science...
This result shows that the direction of the sensor output eigenvectors can provide different surface texture information, and different surface information can produce completely different eigenvector directions. Fig. 5D gives the eigenvalue of our proposed TWRC system when it traversed eight different ...
learning rule (Oja-N) for computing real symmetrical matrix eigenvalues and eigenvectors, the initial vector must be on Rn unit hyper-sphere surface, otherwise, the network may produce limit-time overflow. In order to get over this defect, a new neural network (lyNN) algorithm is proposed. ...