Multilevel Algorithms for Nonlinear Optmization

1995 ◽  
pp. 1-22 ◽  
Author(s):  
Natalia Alexandrov ◽  
J. E. Dennis
1993 ◽  
Vol 60 (202) ◽  
pp. 447 ◽  
Author(s):  
James H. Bramble ◽  
Joseph E. Pasciak

2019 ◽  
Vol 41 (4) ◽  
pp. A2117-A2145 ◽  
Author(s):  
Julien Herrmann ◽  
M. Yusuf Özkaya ◽  
Bora Uçar ◽  
Kamer Kaya ◽  
Ümit V. Çatalyürek

VLSI Design ◽  
1998 ◽  
Vol 8 (1-4) ◽  
pp. 123-128 ◽  
Author(s):  
Aiichiro Nakano ◽  
Rajiv K. Kalia ◽  
Priya Vashishta

Molecular Dynamics (MD) is a powerful tool for the atomistic understanding of longrange stress-mediated phenomena, phonon properties, and mechanical failure of nanostructures. For realistic modeling of nanostructures, however, the scope of simulations must be extended to large system sizes, long simulated times, and complex realism. We have developed new multilevel algorithms and physical models encompassing multiple levels of abstraction: i) space-time multiresolution schemes; ii) adaptive curvilinear-coordinate load balancing; iii) hierarchical dynamics via a rigid-body/ implicit-integration/normal-mode approach; iv) variable-charge MD based on electronegativity equalization; and v) multilevel preconditioned conjugate gradient method. Fuzzy clustering is used to facilitate the seamless integration of the multiple levels of abstraction.


2005 ◽  
Author(s):  
Amine Abou-rjeili ◽  
George Karypis

2010 ◽  
Vol 31 (6) ◽  
pp. 4152-4175 ◽  
Author(s):  
Michele Benzi ◽  
Eldad Haber ◽  
Lauren Taralli

2008 ◽  
Vol 68 (5) ◽  
pp. 563-581 ◽  
Author(s):  
Aleksandar Trifunović ◽  
William J. Knottenbelt

2007 ◽  
Vol 29 (4) ◽  
pp. 1710-1737 ◽  
Author(s):  
Björn Engquist ◽  
Lexing Ying

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