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SIAMREV
2010
119views more  SIAMREV 2010»
14 years 4 months ago
From Functional Analysis to Iterative Methods
We examine condition numbers, preconditioners, and iterative methods for finite element discretizations of coercive PDEs in the context of the fundamental solvability result, the L...
Robert C. Kirby
ALT
2006
Springer
15 years 7 months ago
Iterative Learning from Positive Data and Negative Counterexamples
A model for learning in the limit is defined where a (so-called iterative) learner gets all positive examples from the target language, tests every new conjecture with a teacher ...
Sanjay Jain, Efim B. Kinber
EUROCAST
2005
Springer
86views Hardware» more  EUROCAST 2005»
15 years 3 months ago
Convergence of Iterations
Convergence is a central problem in both computer science and in population biology. Will a program terminate? Will a population go to an equilibrium? In general these questions ar...
Paul Cull
ICCAD
2005
IEEE
106views Hardware» more  ICCAD 2005»
15 years 3 months ago
Fast balanced stochastic truncation via a quadratic extension of the alternating direction implicit iteration
— Balanced truncation (BT) model order reduction (MOR) is known for its superior accuracy and computable error bounds. Balanced stochastic truncation (BST) is a particular BT pro...
Ngai Wong, Venkataramanan Balakrishnan
ICASSP
2008
IEEE
15 years 4 months ago
Iterative extrapolation algorithm for data reconstruction over sphere
Given limited or incomplete measurement data on a sphere, a new iterative algorithm is proposed on how to extrapolate signal over the whole sphere. The algorithm is based on a pri...
Wen Zhang, Rodney A. Kennedy, Thushara D. Abhayapa...