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Penalty method

Known as: Penalty coefficient, Penalty function, Penalty methods 
Penalty methods are a certain class of algorithms for solving constrained optimization problems. A penalty method replaces a constrained optimization… 
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Papers overview

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Highly Cited
2014
Highly Cited
2014
This study proposes a word alignment model based on a recurrent neural network (RNN), in which an unlimited alignment history is… 
Highly Cited
2013
Highly Cited
2013
We propose two versions of affine projection (AP) algorithms tailored for sparse system identification (SSI). Contrary to most… 
2009
2009
If the price of an asset follows a jump diffusion process, the market is in general incomplete. In this case, hedging a… 
Highly Cited
2008
Highly Cited
2008
This paper presents a new approach for formulating the unit commitment problem which results in a considerable reduction in the… 
Highly Cited
2007
Highly Cited
2007
An optimization framework for three-dimensional conformal radiation therapy is presented. In conformal therapy, beams of… 
Highly Cited
2006
Highly Cited
2006
This paper studies the symmetric capacity of the MIMO downlink channel, which is defined to be the maximum rate that can be… 
Highly Cited
2001
Highly Cited
2001
This paper addresses the optimum design of water utilization systems when a single contaminant is present. The application of the… 
Highly Cited
1999
Highly Cited
1999
  • W. ChouW. Reichl
  • 1999
  • Corpus ID: 6335425
In this paper, an approach of the penalized Bayesian information criterion (pBIC) for decision tree state tying is described. The… 
Highly Cited
1978
Highly Cited
1978
The penalty factors calculated by the classical B-coefficients method are shown to be proportional (but not equal) to the penalty…