SLEPc the Scalable Library for Eigenvalue Problem Computations, is a software library for the solution of large sparse eigenproblems on parallel computers. It can be used for the solution of problems formulated in either standard or generalized form, as well as other related problems such as the singular value decomposition or the quadratic eigenvalue problem.

References in zbMATH (referenced in 194 articles , 1 standard article )

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  1. Boullé, Nicolas; Farrell, Patrick E.; Paganini, Alberto: Control of bifurcation structures using shape optimization (2022)
  2. Edwards, S. M.; Hewitt, R. E.: Buoyancy-driven algebraic (localised) boundary-layer disturbances (2022)
  3. Karbasian, Hamid R.; Vermeire, Brian C.: Application of physics-constrained data-driven reduced-order models to shape optimization (2022)
  4. Li, Lingjie; Yu, Wenjian; Batselier, Kim: Faster tensor train decomposition for sparse data (2022)
  5. Myllykoski, Mirko: Algorithm 1019: a task-based multi-shift QR/QZ algorithm with aggressive early deflation (2022)
  6. Abrate, N.; Burrone, M.; Dulla, S.; Ravetto, P.; Saracco, P.: Eigenvalue formulations for the \textit(P_N) approximation to the neutron transport equation (2021)
  7. Alet, Fabien; Hanada, Masanori; Jevicki, Antal; Peng, Cheng: Entanglement and confinement in coupled quantum systems (2021)
  8. Ålund, Oskar; Akamatsu, Yukinao; Laurén, Fredrik; Miura, Takahiro; Nordström, Jan; Rothkopf, Alexander: Trace preserving quantum dynamics using a novel reparametrization-neutral summation-by-parts difference operator (2021)
  9. Araújo C., Juan C.; Engström, Christian: On spurious solutions encountered in Helmholtz scattering resonance computations in (\mathbbR^d) with applications to nano-photonics and acoustics (2021)
  10. Arndt, Daniel; Bangerth, Wolfgang; Blais, Bruno; Fehling, Marc; Gassmöller, Rene; Heister, Timo; Heltai, Luca; Köcher, Uwe; Kronbichler, Martin; Maier, Matthias; Munch, Peter; Pelteret, Jean-Paul; Proell, Sebastian; Simon, Konrad; Turcksin, Bruno; Wells, David; Zhang, Jiaqi: The \textttdeal.II library, Version 9.3 (2021)
  11. Bertrand, Fleurianne; Boffi, Daniele: Least-squares formulations for eigenvalue problems associated with linear elasticity (2021)
  12. Bootland, Niall; Dolean, Victorita; Jolivet, Pierre; Tournier, Pierre-Henri: A comparison of coarse spaces for Helmholtz problems in the high frequency regime (2021)
  13. Campos, Carmen; Roman, Jose E.: NEP. A module for the parallel solution of nonlinear eigenvalue problems in SLEPc (2021)
  14. Capodaglio, Giacomo; Gunzburger, Max; Wynn, Henry P.: Approximation of probability density functions for PDEs with random parameters using truncated series expansions (2021)
  15. Galkowski, Jeffrey; Marchand, Pierre; Spence, Euan A.: Eigenvalues of the truncated Helmholtz solution operator under strong trapping (2021)
  16. Hale, Jack S.; Schenone, Elisa; Baroli, Davide; Beex, Lars A. A.; Bordas, Stéphane P. A.: A hyper-reduction method using adaptivity to cut the assembly costs of reduced order models (2021)
  17. Hashemian, Ali; Pardo, David; Calo, Victor M.: Refined isogeometric analysis for generalized Hermitian eigenproblems (2021)
  18. Holter, Karl Erik; Kuchta, Miroslav; Mardal, Kent-Andre: Robust preconditioning for coupled Stokes-Darcy problems with the Darcy problem in primal form (2021)
  19. Jolivet, Pierre; Roman, Jose E.; Zampini, Stefano: KSPHPDDM and PCHPDDM: extending PETSc with advanced Krylov methods and robust multilevel overlapping Schwarz preconditioners (2021)
  20. Kalantzis, Vassilis; Xi, Yuanzhe; Horesh, Lior: Fast randomized non-Hermitian eigensolvers based on rational filtering and matrix partitioning (2021)

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