scholarly journals Fast algorithms for large scale conditional 3D prediction

2008 ◽  
Author(s):  
Liefeng Bo ◽  
Cristian Sminchisescu ◽  
Atul Kanaujia ◽  
Dimitris Metaxas
Keyword(s):  
Large Scale ◽  
Fast Algorithms

Fast algorithms for large-scale periodic structures

2004 ◽  
Author(s):  
Wei-Bing Lu ◽  
Tie Jun Cui ◽  
Zhi-Guo Qian ◽  
Xiao Xing Yin ◽  
Wei Hong
Keyword(s):  
Large Scale ◽  
Periodic Structures ◽  
Fast Algorithms

Fast algorithms for large-scale periodic structures using subentire domain basis functions

2005 ◽  
Vol 53 (3) ◽  
pp. 1154-1162 ◽  
Author(s):  
Wei Bing Lu ◽  
Tie Jun Cui ◽  
Xiao Xing Yin ◽  
Zhi Guo Qian ◽  
Wei Hong
Keyword(s):  
Large Scale ◽  
Periodic Structures ◽  
Fast Algorithms ◽  
Basis Functions

Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian Approximations

2011 ◽  
Vol 33 (1) ◽  
pp. 407-432 ◽  
Author(s):  
H. P. Flath ◽  
L. C. Wilcox ◽  
V. Akçelik ◽  
J. Hill ◽  
B. van Bloemen Waanders ◽  
...  
Keyword(s):  
Inverse Problems ◽  
Uncertainty Quantification ◽  
Large Scale ◽  
Fast Algorithms ◽  
Low Rank ◽  
Linear Inverse Problems

Fast Algorithms for Optimal Link Selection in Large-Scale Network Monitoring

2013 ◽  
Vol 61 (8) ◽  
pp. 2088-2103 ◽  
Author(s):  
Michael G. Kallitsis ◽  
Stilian A. Stoev ◽  
George Michailidis
Keyword(s):  
Large Scale ◽  
Network Monitoring ◽  
Fast Algorithms ◽  
Large Scale Network ◽  
Scale Network

Fast Algorithms for Composite Materials

1995 ◽  
Vol 408 ◽  
Author(s):  
L. Greengard
Keyword(s):  
Composite Materials ◽  
Large Scale ◽  
Fast Multipole Method ◽  
Fast Algorithms ◽  
Boundary Integral ◽  
Cpu Time ◽  
Electrostatic Fields ◽  
Background Material ◽  
Uniform Background ◽  
Time Required

AbstractWe briefly review recently developed fast algorithms for the evaluation of electrostatic fields in composite materials consisting of a collection of piecewise homogeneous inclusions embedded in a uniform background. These algorithms are based on combining a suitable boundary integral equation with the fast multipole method and a conjugate gradient-like iterative method. The CPU time required grows linearly with the number of points in the discretization of the interface between the inclusions and the background material, bringing large-scale calculations within practical reach.

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