By Richard B. Lehoucq, Danny C. Sorensen, C. Yang
A consultant to figuring out and utilizing the software program package deal ARPACK to resolve huge algebraic eigenvalue difficulties. The software program defined is predicated at the implicitly restarted Arnoldi procedure. The e-book explains the purchase, set up, functions, and distinct use of the software program.
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Additional resources for ARPACK Users' Guide: Solution of Large-scale Eigenvalue Problems with Implicitly Restarted Arnoldi Methods
M}. 2. , m} as shifts to obtain HTOQm = Q m H+. 3. Restart: Postmultiply the length m Arnoldi factorization with the matrix Q& consisting of the leading k columns of Qm to obtain the length k Arnoldi factorization AVmQfc = V m QfcH^ + f^e^, where H^ is the leading principal submatrix of order k for H+. Set Vfc ^ VmQk. 4. Extend the length k Arnoldi factorization to a length m factorization. 1: The implicitly restarted Arnoldi method in ARPACK. lem as a means to improve the performance of Krylov methods.
This will provide an orthogonal, hence well-conditioned, basis for the subspace. The sensitivity of a given subspace to perturbations (such as roundoff error) is another question. 6 for a brief discussion. If it is desirable to retain the Schur basis in v and storage is an issue, the user may elect to call this routine once for each desired eigenvector and store it peripherally. There is also the option of computing a selected set of these vectors with a single call. The input parameters that must be specified are • The logical variable rvec = .
2: Double-precision top-level routines in subdirectory SRC. ROUTINE DESCRIPTION dsaupd Top-level reverse communication interface to solve real double-precision symmetric problems. dseupd Postprocessing routine used to compute eigenvectors associated with the computed eigenvalues. This requires output from a converged application of dsaupd. dnaupd Top-level reverse communication interface to solve real double-precision nonsymmetric problems. dneupd Postprocessing routine used to compute eigenvectors and/or Schur vectors corresponding to the invariant subspace associated with the computed eigenvalues.
ARPACK Users' Guide: Solution of Large-scale Eigenvalue Problems with Implicitly Restarted Arnoldi Methods by Richard B. Lehoucq, Danny C. Sorensen, C. Yang
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