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Improving Multifrontal Methods by Means of Block Low-Rank Representations.

, , , , , и . SIAM J. Sci. Comput., (2015)

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Urban Cleve

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Performance Tuning of Matrix Triple Products Based on Matrix Structure., , , , и . PARA, том 3732 из Lecture Notes in Computer Science, стр. 740-746. Springer, (2004)Compressed Graphs and the Minimum Degree Algorithm.. SIAM J. Sci. Comput., 16 (6): 1404-1411 (1995)Robust Ordering of Sparse Matrices using Multisection., и . SIAM J. Matrix Anal. Appl., 19 (3): 816-832 (июля 1998)A Fan-In Algorithm for Distributed Sparse Numerical Factorization., , и . SIAM J. Sci. Comput., 11 (3): 593-599 (1990)Accurate Symmetric Indefinite Linear Equation Solvers., , и . SIAM J. Matrix Anal. Appl., 20 (2): 513-561 (1998)Comparisons of Three Distributed Algorithms for Sparse Cholesky Factorization., , , и . PPSC, стр. 55-56. SIAM, (1989)Scalability Challenges of an Industrial Implicit Finite Element Code., , , , , , , , , и . IPDPS, стр. 505-514. IEEE, (2020)SPOOLES: An Object-Oriented Sparse Matrix Library., и . PPSC, (1999)The influence of relaxed supernode partitions on the multifrontal method., и . ACM Trans. Math. Softw., 15 (4): 291-309 (1989)Block Low-Rank Matrices with Shared Bases: Potential and Limitations of the BLR2 Format., , и . SIAM J. Matrix Anal. Appl., 42 (2): 990-1010 (2021)