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Benefits of IEEE-754 Features in Modern Symmetric Tridiagonal Eigensolvers

, , and . LAPACK Working Note, 172. Netlib, (September 2005)

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Benefits of IEEE-754 Features in Modern Symmetric Tridiagonal Eigensolvers, , and . LAPACK Working Note, 172. Netlib, (September 2005)Benefits of IEEE-754 Features in Modern Symmetric Tridiagonal Eigensolvers., , and . SIAM J. Sci. Comput., 28 (5): 1613-1633 (2006)Bulk based preconditioning for quantum dot computations., , and . SAC, page 961-965. ACM, (2009)Detecting Localization in an Invariant Subspace., and . SIAM J. Sci. Comput., 33 (6): 3447-3467 (2011)The Secret Life of Keys: On the Calculation of Mechanical Lock Systems., , , and . SIAM Rev., 59 (2): 393-422 (2017)State-of-the-art eigensolvers for electronic structure calculations of large scale nano-systems., , , , , and . J. Comput. Phys., 227 (15): 7113-7124 (2008)Algorithm 880: A testing infrastructure for symmetric tridiagonal eigensolvers., , , and . ACM Trans. Math. Softw., 35 (1): 8:1-8:13 (2008)ScaLAPACK's MRRR algorithm.. ACM Trans. Math. Softw., 37 (1): 1:1-1:35 (2010)Efficient preconditioning of linear systems arising from the discretization of hyperbolic conservation laws., and . Adv. Comput. Math., 14 (1): 49-73 (2001)Automatic Performance Tuning for the Multi-section with Multiple Eigenvalues Method for Symmetric Tridiagonal Eigenproblems., , and . PARA, volume 4699 of Lecture Notes in Computer Science, page 938-948. Springer, (2006)