EISPACK

EISPACK is a collection of Fortran subroutines that compute the eigenvalues and eigenvectors of nine classes of matrices: complex general, complex Hermitian, real general, real symmetric, real symmetric banded, real symmetric tridiagonal, special real tridiagonal, generalized real, and generalized real symmetric matices. In addition, two routines are included that use singular value decomposition to solve certain least-squares problems. EISPACK has been superseded for the most part by LAPACK. (netlib eispack)


References in zbMATH (referenced in 457 articles , 2 standard articles )

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  1. Krivovichev, Gerasim V.; Mikheev, Sergey A.: On the stability of multi-step finite-difference-based lattice Boltzmann schemes (2019)
  2. Lambers, James V.; Sumner, Amber C.: Explorations in numerical analysis (2019)
  3. Askham, T.: A stabilized separation of variables method for the modified biharmonic equation (2018)
  4. Charpentier, Isabelle; Gustedt, Jens: Arbogast: higher order automatic differentiation for special functions with modular C (2018)
  5. Conte, S. D.; de Boor, Carl: Elementary numerical analysis. An algorithmic approach. Updated with MATLAB (2018)
  6. Dongarra, Jack; Gates, Mark; Haidar, Azzam; Kurzak, Jakub; Luszczek, Piotr; Tomov, Stanimire; Yamazaki, Ichitaro: The singular value decomposition: anatomy of optimizing an algorithm for extreme scale (2018)
  7. Gentle, James E.: Matrix algebra. Theory, computations and applications in statistics (2017)
  8. Sad Saoud, Kahina; Le Grognec, Philippe: An enriched 1D finite element for the buckling analysis of sandwich beam-columns (2016)
  9. Xue, Dingyü; Chen, YangQuan: Scientific computing with MATLAB (2016)
  10. Granat, Robert; Kågström, Bo; Kressner, Daniel; Shao, Meiyue: Algorithm 953: Parallel library software for the multishift QR algorithm with aggressive early deflation (2015)
  11. Scherer, C. S.: An analytical approach to the strong evaporation problem in rarefied gas dynamics (2015)
  12. Ballard, G.; Carson, E.; Demmel, J.; Hoemmen, M.; Knight, N.; Schwartz, O.: Communication lower bounds and optimal algorithms for numerical linear algebra (2014)
  13. Sewell, Granville: Computational methods of linear algebra (2014)
  14. Van Zee, Field G.; van de Geijn, Robert A.; Quintana-Ortí, Gregorio: Restructuring the tridiagonal and bidiagonal QR algorithms for performance (2014)
  15. Weihs, Claus; Mersmann, Olaf; Ligges, Uwe: Foundations of statistical algorithms. With references to R packages (2014)
  16. Garba, Michael T.; González-Vélez, Horacio; Roach, Daniel L.: GPU acceleration for Hermitian eigensystems (2013)
  17. Elkhodary, K. I.; Zikry, M. A.: A fracture criterion for finitely deforming crystalline solids -- the dynamic fracture of single crystals (2011)
  18. Saad, Yousef: Numerical methods for large eigenvalue problems (2011)
  19. Van Dooren, Paul (ed.); Bhattacharyya, Shankar P. (ed.); Chan, Raymond H. (ed.); Olshevsky, Vadim (ed.); Routray, Aurobinda (ed.): Numerical linear algebra in signals, systems and control. Selected papers based on the presentations at the international workshop, Kharagpur, India, January 9--11, 2007. In honor of Prof. Biswa Nath Datta. (2011)
  20. Andreani, R.; Birgin, E. G.; Martínez, J. M.; Schuverdt, M. L.: Second-order negative-curvature methods for box-constrained and general constrained optimization (2010)

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