Relaxation

Known as: Relaxation method 
In numerical mathematics, relaxation methods are iterative methods for solving systems of equations, including nonlinear systems. Relaxation methods… (More)
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Topic mentions per year

1940-2017
05010015019402016

Papers overview

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Highly Cited
2004
Highly Cited
2004
Insight problem solving is characterized by impasses, states of mind in which the thinker does not know what to do next. The… (More)
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Highly Cited
2002
Highly Cited
2002
Genetic and evolutionary algorithms have been increasingly applied to solve complex, large scale search problems with mixed… (More)
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Highly Cited
2001
Highly Cited
2001
The popular K-means clustering partitions a data set by minimizing a sum-of-squares cost function. A coordinate descend method is… (More)
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Highly Cited
2001
Highly Cited
2001
In this paper a practically efficient QoS routing method is presented, which provides a solution to the delay constrained least… (More)
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Highly Cited
1999
Highly Cited
1999
The subgradient method is used frequently to optimize dual functions in Lagrangian relaxation for separable integer programming… (More)
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Highly Cited
1997
Highly Cited
1997
This paper describes a Bayesian framework for performing relational graph matching by discrete relaxation. Our basic aim is to… (More)
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Highly Cited
1995
Highly Cited
1995
In this paper, we develop the theory of probabilistic relaxation for matching features extracted from 2D images, derive as… (More)
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Highly Cited
1986
Highly Cited
1986
Image analysis problems, posed mathematically as variational principles or as partial differential equations, are amenable to… (More)
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Highly Cited
1984
Highly Cited
1984
We make an analogy between images and statistical mechanics systems. Pixel gray levels and the presence and orientation of edges… (More)
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Highly Cited
1980
Highly Cited
1980
Let .i = P,, . . ., P,. and .2 = Q Q, be two patterns of points . Each pairing (P r, Q,) of a point of :P with a point of .2… (More)
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