ARPACK is a collection of Fortran77 subroutines designed to solve large scale eigenvalue problems. The package is designed to compute a few eigenvalues and corresponding eigenvectors of a general n by n matrix A. It is most appropriate for large sparse or structured matrices A where structured means that a matrix-vector product w <- Av requires order n rather than the usual order n2 floating point operations. This software is based upon an algorithmic variant of the Arnoldi process called the Implicitly Restarted Arnoldi Method (IRAM). When the matrix A is symmetric it reduces to a variant of the Lanczos process called the Implicitly Restarted Lanczos Method (IRLM). These variants may be viewed as a synthesis of the Arnoldi/Lanczos process with the Implicitly Shifted QR technique that is suitable for large scale problems. For many standard problems, a matrix factorization is not required. Only the action of the matrix on a vector is needed. ARPACK software is capable of solving large scale symmetric, nonsymmetric, and generalized eigenproblems from significant application areas. The software is designed to compute a few (k) eigenvalues with user specified features such as those of largest real part or largest magnitude. Storage requirements are on the order of n*k locations. No auxiliary storage is required. A set of Schur basis vectors for the desired k-dimensional eigen-space is computed which is numerically orthogonal to working precision. Numerically accurate eigenvectors are available on request.

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  1. Achdou, Yves; Laurière, Mathieu; Lions, Pierre-Louis: Optimal control of conditioned processes with feedback controls (2021)
  2. Arndt, Daniel; Bangerth, Wolfgang; Blais, Bruno; Clevenger, Thomas C.; Fehling, Marc; Grayver, Alexander V.; Heister, Timo; Heltai, Luca; Kronbichler, Martin; Maier, Matthias; Munch, Peter; Pelteret, Jean-Paul; Rastak, Reza; Tomas, Ignacio; Turcksin, Bruno; Wang, Zhuoran; Wells, David: The deal.II library, version 9.2 (2020)
  3. Barnett, Alex; Greengard, Leslie; Hagstrom, Thomas: High-order discretization of a stable time-domain integral equation for 3D acoustic scattering (2020)
  4. Chekroun, Mickaël D.; Tantet, Alexis; Dijkstra, Henk A.; Neelin, J. David: Ruelle-Pollicott resonances of stochastic systems in reduced state space. Part I: Theory (2020)
  5. Dubois, François; Lallemand, Pierre; Tekitek, Mohamed Mahdi: On anti bounce back boundary condition for lattice Boltzmann schemes (2020)
  6. Ezvan, Olivier; Zeng, Xiaoshu; Ghanem, Roger; Gencturk, Bora: Multiscale modal analysis of fully-loaded spent nuclear fuel canisters (2020)
  7. Gedicke, Joscha; Khan, Arbaz: Divergence-conforming discontinuous Galerkin finite elements for Stokes eigenvalue problems (2020)
  8. Giannakis, Dimitrios; Das, Suddhasattwa: Extraction and prediction of coherent patterns in incompressible flows through space-time koopman analysis (2020)
  9. Girardi, Maria; Padovani, Cristina; Pellegrini, Daniele; Porcelli, Margherita; Robol, Leonardo: Finite element model updating for structural applications (2020)
  10. Glusa, Christian; Boman, Erik G.; Chow, Edmond; Rajamanickam, Sivasankaran; Szyld, Daniel B.: Scalable asynchronous domain decomposition solvers (2020)
  11. Goulart, Paul J.; Nakatsukasa, Yuji; Rontsis, Nikitas: Accuracy of approximate projection to the semidefinite cone (2020)
  12. Hokanson, Jeffrey M.: A data-driven McMillan degree lower bound (2020)
  13. Hokanson, Jeffrey M.; Magruder, Caleb C.: ( \mathcalH_2)-optimal model reduction using projected nonlinear least squares (2020)
  14. Kalantzis, Vassilis: A spectral Newton-Schur algorithm for the solution of symmetric generalized eigenvalue problems (2020)
  15. Kpadonou, Félix; Chaillat, Stéphanie; Ciarlet, Patrick: On the efficiency of nested GMRES preconditioners for 3D acoustic and elastodynamic (\mathcalH)-matrix accelerated boundary element methods (2020)
  16. Lieder, Felix: Solving large-scale cubic regularization by a generalized eigenvalue problem (2020)
  17. Mostajeran, Cyrus; Grussler, Christian; Sepulchre, Rodolphe: Geometric matrix midranges (2020)
  18. Pfister, Jean-Lou; Marquet, O.: Fluid-structure stability analyses and nonlinear dynamics of flexible splitter plates interacting with a circular cylinder flow (2020)
  19. Tantet, Alexis; Chekroun, Mickaël D.; Dijkstra, Henk A.; Neelin, J. David: Ruelle-Pollicott resonances of stochastic systems in reduced state space. Part II: Stochastic Hopf bifurcation (2020)
  20. Tantet, Alexis; Chekroun, Mickaël D.; Neelin, J. David; Dijkstra, Henk A.: Ruelle-Pollicott resonances of stochastic systems in reduced state space. Part III: Application to the Cane-Zebiak model of the El Niño-southern oscillation (2020)

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