iVI: An iterative vector interaction method for large eigenvalue problems

Chao Huang; Wenjian Liu; Yunlong Xiao; Mark R. Hoffmann

doi:10.1002/jcc.24907

iVI: An iterative vector interaction method for large eigenvalue problems

Journal of Computational Chemistry ◽

10.1002/jcc.24907 ◽

2017 ◽

Vol 38 (29) ◽

pp. 2481-2499 ◽

Cited By ~ 8

Author(s):

Chao Huang ◽

Wenjian Liu ◽

Yunlong Xiao ◽

Mark R. Hoffmann

Keyword(s):

Eigenvalue Problems ◽

Large Eigenvalue ◽

Interaction Method ◽

Vector Interaction

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Erratum: “iVI: An iterative vector interaction method for large eigenvalue problems” [J. Comput. Chem. 38, 2481 (2017)]

Journal of Computational Chemistry ◽

10.1002/jcc.25111 ◽

2017 ◽

Vol 39 (6) ◽

pp. 338-338 ◽

Cited By ~ 2

Author(s):

Chao Huang ◽

Wenjian Liu ◽

Yunlong Xiao ◽

Mark R. Hoffmann

Keyword(s):

Eigenvalue Problems ◽

Large Eigenvalue ◽

Interaction Method ◽

Vector Interaction

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A comparison of solvers for large eigenvalue problems occuring in the design of resonant cavities

Numerical Linear Algebra with Applications ◽

10.1002/(sici)1099-1506(199901/02)6:1<3::aid-nla142>3.0.co;2-i ◽

1999 ◽

Vol 6 (1) ◽

pp. 3-16 ◽

Cited By ~ 18

Author(s):

Peter Arbenz ◽

Roman Geus

Keyword(s):

Eigenvalue Problems ◽

Large Eigenvalue ◽

Resonant Cavities

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Robust expansion of subspaces in iterative projection methods for large eigenvalue problems

PAMM ◽

10.1002/pamm.200700542 ◽

2007 ◽

Vol 7 (1) ◽

pp. 1021001-1021002

Author(s):

Heinrich Voss

Keyword(s):

Eigenvalue Problems ◽

Projection Methods ◽

Large Eigenvalue

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Preconditioned Solvers for Large Eigenvalue Problems on Massively Parallel Computers and Workstation Clusters

Advances in Parallel Computing - Parallel Computing - Fundamentals, Applications and New Directions ◽

10.1016/s0927-5452(98)80072-5 ◽

1998 ◽

pp. 565-572 ◽

Cited By ~ 3

Author(s):

A. Basermann ◽

B. Steffen

Keyword(s):

Eigenvalue Problems ◽

Parallel Computers ◽

Large Eigenvalue ◽

Massively Parallel ◽

Workstation Clusters ◽

Massively Parallel Computers

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Parallel solvers for large eigenvalue problems originating from Maxwell’s equations

Euro-Par’98 Parallel Processing - Lecture Notes in Computer Science ◽

10.1007/bfb0057929 ◽

1998 ◽

pp. 771-779 ◽

Cited By ~ 5

Author(s):

Peter Arbenz ◽

Roman Geus

Keyword(s):

Maxwell’S Equations ◽

Maxwell's Equations ◽

Eigenvalue Problems ◽

Large Eigenvalue ◽

Parallel Solvers

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On the numerical solution of large eigenvalue problems arising in panel flutter analysis by the finite element method

Computers & Structures ◽

10.1016/0045-7949(74)90034-0 ◽

1974 ◽

Vol 4 (6) ◽

pp. 1223-1250

Author(s):

C. Bon ◽

M. Geradin

Keyword(s):

Finite Element Method ◽

Finite Element ◽

Numerical Solution ◽

Eigenvalue Problems ◽

Large Eigenvalue ◽

Panel Flutter ◽

The Finite Element Method ◽

Flutter Analysis ◽

Element Method

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A relaxation method for large eigenvalue problems, with an application to flow stability analysis

Journal of Computational Physics ◽

10.1016/j.jcp.2012.01.038 ◽

2012 ◽

Vol 231 (10) ◽

pp. 3912-3927 ◽

Cited By ~ 13

Author(s):

X. Garnaud ◽

L. Lesshafft ◽

P.J. Schmid ◽

J.-M. Chomaz

Keyword(s):

Stability Analysis ◽

Eigenvalue Problems ◽

Relaxation Method ◽

Flow Stability ◽

Large Eigenvalue

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Optimal quotients for solving large eigenvalue problems

BIT Numerical Mathematics ◽

10.1007/s10543-018-0725-x ◽

2018 ◽

Vol 59 (1) ◽

pp. 125-154 ◽

Cited By ~ 1

Author(s):

Marko Huhtanen ◽

Vesa Kotila

Keyword(s):

Eigenvalue Problems ◽

Large Eigenvalue

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Computational methods for large eigenvalue problems

Handbook of Numerical Analysis ◽

10.1016/s1570-8659(02)08003-1 ◽

2002 ◽

Vol 8 ◽

pp. 3-179 ◽

Cited By ~ 6

Author(s):

H VANDERVORST

Keyword(s):

Computational Methods ◽

Eigenvalue Problems ◽

Large Eigenvalue

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On the effectiveness of the Lanczos method for the solution of large eigenvalue problems

Journal of Sound and Vibration ◽

10.1016/0022-460x(80)90523-4 ◽

1980 ◽

Vol 73 (3) ◽

pp. 405-418 ◽

Cited By ~ 5

Author(s):

S. Ramaswamy

Keyword(s):

Eigenvalue Problems ◽

Lanczos Method ◽

Large Eigenvalue

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