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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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Related topics

Related topics

11 relations
AlgorithmAugmented Lagrangian methodBarrier functionConstrained optimization

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Recurrent Neural Networks for Word Alignment Model
This study proposes a word alignment model based on a recurrent neural network (RNN), in which an unlimited alignment history is… 
2014
2014
A hierarchical approach for energy-efficient scheduling of large workloads in multicore distributed systems
Highly Cited
2013
Highly Cited
2013
Affine projection algorithms for sparse system identification
We propose two versions of affine projection (AP) algorithms tailored for sparse system identification (SSI). Contrary to most… 
Highly Cited
2008
Highly Cited
2008
A new approach for solving the unit commitment problem by adaptive particle swarm optimization
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 Conformal Radiation Treatment Planning
An optimization framework for three-dimensional conformal radiation therapy is presented. In conformal therapy, beams of… 
Highly Cited
2006
Highly Cited
2006
Symmetric Capacity of MIMO Downlink Channels
This paper studies the symmetric capacity of the MIMO downlink channel, which is defined to be the maximum rate that can be… 
Highly Cited
2005
Highly Cited
2005
Combining safety margins and user preferences into a driving criterion for optimal control-based computation of reference maneuvers for an ADAS of the next generation
This paper outlines a methodology for combining user's preferred driving style and safety margins into an ADAS's module for… 
Highly Cited
2001
Highly Cited
2001
On the Use of Linear Models for the Design of Water Utilization Systems in Process Plants with a Sin
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
Decision tree state tying based on penalized Bayesian information criterion
  • W. ChouW. Reichl
  • IEEE International Conference on Acoustics…
  • 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
Penalty Factors From Newton's Method
The penalty factors calculated by the classical B-coefficients method are shown to be proportional (but not equal) to the penalty… 
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