Examples of using Eigenvalue in English and their translations into Russian
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Solve an eigenvalue problem for the Airy equation.
In fact, even ifQ has only one negative eigenvalue, the problem is NP-hard.
Solve an eigenvalue problem with Dirichlet conditions.
A regular graph of degree k is connected if and only if the eigenvalue k has multiplicity one.
Solve an eigenvalue problem with Neumann conditions.
A number λ and a non-zero vector v satisfying Av λv are called an eigenvalue and an eigenvector of A, respectively.
Eigenvalue decomposition finding eigenvalues and eigenvectors.
The velocity is estimated for the convergence of an eigenvalue of the original problem to a subdomain eigenvalue.
These eigenvalue algorithms may also find eigenvectors.
After implementing all pairwise comparisons andobtaining the data on eigenvalue and eigenvector, the consistency can be defined.
Algebraic eigenvalue problem was solved by iterative methods.
In 1970, Jeff Cheeger proved an inequality that related the first nontrivial eigenvalue of the Laplace-Beltrami operator on M to hM.
The eigenvalue algorithm can then be applied to the restricted matrix.
This is a corollary to the fact that the number of times 0 appears as an eigenvalue in the Laplacian is the number of connected components in the graph.
Thus the eigenvalue problem for all normal matrices is well-conditioned.
Hessenberg and tridiagonal matrices are the starting points for many eigenvalue algorithms because the zero entries reduce the complexity of the problem.
Sample eigenvalue spacing of 2× 2 matrices from different Gaussian ensembles.
In power iteration, for example,the eigenvector is actually computed before the eigenvalue which is typically computed by the Rayleigh quotient of the eigenvector.
The paper deals with eigenvalue problems, namely, with computation of the characteristic polynomial coefficients of a given matrix.
The indefinite type often is further subdivided, for example a Coxeter group is Lorentzian if it has one negative eigenvalue and all other eigenvalues are positive.
Key words: matrix, eigenvalue, spectrum, block, TeopeMa Gershgorin's theorem.
The Tracy-Widom distribution, introduced by Craig Tracy and Harold Widom(1993, 1994),is the probability distribution of the normalized largest eigenvalue of a random Hermitian matrix.
Thus λ is an eigenvalue of W-1AW with generalized eigenvector W-kv.
In linear algebra(and its application to quantum mechanics), a raising orlowering operator(collectively known as ladder operators) is an operator that increases or decreases the eigenvalue of another operator.
Iterative algorithms solve the eigenvalue problem by producing sequences that converge to the eigenvalues. .
The eigenvalue found for A- μI must have μ added back in to get an eigenvalue for A. For example, for power iteration, μ λ.
Effective solution of hydrodynamic stability problems, as well as solution of the eigenvalue problem for non-selfadjoint operators in general cases can be obtained only numerically.
Thus eigenvalue algorithms that work by finding the roots of the characteristic polynomial can be ill-conditioned even when the problem is not.
Conversely, inverse iteration based methods find the lowest eigenvalue, so μ is chosen well away from λ and hopefully closer to some other eigenvalue.
The task on eigenvalue of effective Kohn-Sham equation with exchange-correlated potentials of all types was solved by the Roothaan method in the basis of Gaussian functions.