Anasazi is an extensible and interoperable framework for large-scale eigenvalue algorithms. The motivation for this framework is to provide a generic interface to a collection of algorithms for solving large-scale eigenvalue problems. Anasazi is interoperable because both the matrix and vectors (defining the eigenspace) are considered to be opaque objects---only knowledge of the matrix and vectors via elementary operations is necessary. An implementation of Anasazi is accomplished via the use of interfaces. Current interfaces available include Epetra and so any libraries that understand Epetra matrices and vectors (such as AztecOO) may also be used in conjunction with Anasazi. One of the goals of Anasazi is to allow the user the flexibility to specify the data representation for the matrix and vectors and so leverage any existing software investment. The algorithms that are currently available through Anasazi are block Krylov-Schur, block Davidson, and locally-optimal block preconditioned conjugate gradient (LOBPCG) method.

References in zbMATH (referenced in 20 articles , 1 standard article )

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  1. Ezvan, Olivier; Zeng, Xiaoshu; Ghanem, Roger; Gencturk, Bora: Multiscale modal analysis of fully-loaded spent nuclear fuel canisters (2020)
  2. Ju, S. H.; Hsu, H. H.: An out-of-core eigen-solver with OpenMP parallel scheme for large spare damped system (2019)
  3. Li, Ruipeng; Xi, Yuanzhe; Erlandson, Lucas; Saad, Yousef: The eigenvalues slicing library (EVSL): algorithms, implementation, and software (2019)
  4. Winkelmann, Jan; Springer, Paul; Di Napoli, Edoardo: ChASE: Chebyshev accelerated subspace iteration eigensolver for sequences of Hermitian eigenvalue problems (2019)
  5. Contreras, Andres A.; Mycek, Paul; Le Maître, Olivier P.; Rizzi, Francesco; Debusschere, Bert; Knio, Omar M.: Parallel domain decomposition strategies for stochastic elliptic equations. Part A: Local Karhunen-Loève representations (2018)
  6. Duersch, Jed A.; Shao, Meiyue; Yang, Chao; Gu, Ming: A robust and efficient implementation of LOBPCG (2018)
  7. Ruipeng Li, Yuanzhe Xi, Lucas Erlandson, Yousef Saad: The Eigenvalues Slicing Library (EVSL): Algorithms, Implementation, and Software (2018) arXiv
  8. Tantet, Alexis; Lucarini, Valerio; Dijkstra, Henk A.: Resonances in a chaotic attractor crisis of the Lorenz flow (2018)
  9. Huang, Tsung-Ming; Lin, Wen-Wei; Mehrmann, Volker: A Newton-type method with nonequivalence deflation for nonlinear eigenvalue problems arising in photonic crystal modeling (2016)
  10. Kestyn, James; Polizzi, Eric; Tang, Ping Tak Peter: Feast eigensolver for non-Hermitian problems (2016)
  11. Li, Ruipeng; Xi, Yuanzhe; Vecharynski, Eugene; Yang, Chao; Saad, Yousef: A thick-restart Lanczos algorithm with polynomial filtering for Hermitian eigenvalue problems (2016)
  12. Romero, Eloy; Roman, Jose E.: A parallel implementation of Davidson methods for large-scale eigenvalue problems in SLEPc (2014)
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  14. Bauer, Carl A.; Werner, Gregory R.; Cary, John R.: A fast multigrid-based electromagnetic eigensolver for curved metal boundaries on the Yee mesh (2013)
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  18. Roman, Jose E.; Kammerer, Matthias; Merz, Florian; Jenko, Frank: Fast eigenvalue calculations in a massively parallel plasma turbulence code (2010)
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