Iterative method

Known as: Iterative procedure, Iterative approximation, Iterative solver 
In computational mathematics, an iterative method is a mathematical procedure that generates a sequence of improving approximate solutions for a… (More)
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Topic mentions per year

Topic mentions per year

1952-2017
02000400019522016

Papers overview

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Highly Cited
2011
Highly Cited
2011
The linearly constrained matrix rank minimization problem is widely applicable in many fields such as control, signal processing… (More)
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Highly Cited
2011
Highly Cited
2011
This paper addresses the problem of learning similarity-preserving binary codes for efficient retrieval in large-scale image… (More)
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Highly Cited
2010
Highly Cited
2010
Compressive sampling (CoSa) is a new paradigm for developing data sampling technologies. It is based on the principle that many… (More)
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Highly Cited
2009
Highly Cited
2009
We consider the class of iterative shrinkage-thresholding algorithms (ISTA) for solving linear inverse problems arising in signal… (More)
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Highly Cited
2008
Highly Cited
2008
Compressed sensing is a technique to sample compressible signals below the Nyquist rate, whilst still allowing near optimal… (More)
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Highly Cited
2007
Highly Cited
2007
Sparse signal expansions represent or approximate a signal using a small number of elements from a large collection of elementary… (More)
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Highly Cited
2005
Highly Cited
2005
It was assumed that the degraded image H was of the form H= W*S, where W is the original image, S is the point spread function… (More)
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Highly Cited
2005
Highly Cited
2005
We introduce a new iterative regularization procedure for inverse problems based on the use of Bregman distances, with particular… (More)
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Highly Cited
2003
Highly Cited
2003
We consider linear inverse problems where the solution is assumed to have a sparse expansion on an arbitrary preassigned… (More)
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Highly Cited
2000
Highly Cited
2000
This Key Note presents a summary of the development of the Finite Element Method in the field of Electromagnetic Engineering… (More)
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