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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
Algorithm
Augmented Lagrangian method
Barrier function
Constrained optimization
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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
Akihiro Tamura
,
Taro Watanabe
,
E. Sumita
Annual Meeting of the Association for…
2014
Corpus ID: 9316168
This study proposes a word alignment model based on a recurrent neural network (RNN), in which an unlimited alignment history is…
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2014
2014
A hierarchical approach for energy-efficient scheduling of large workloads in multicore distributed systems
B. Dorronsoro
,
Sergio Nesmachnow
,
J. Taheri
,
Albert Y. Zomaya
,
El-Ghazali Talbi
,
P. Bouvry
Sustainable Computing: Informatics and Systems
2014
Corpus ID: 17075034
Highly Cited
2013
Highly Cited
2013
Affine projection algorithms for sparse system identification
Markus V. S. Lima
,
W. Martins
,
P. Diniz
IEEE International Conference on Acoustics…
2013
Corpus ID: 15973166
We propose two versions of affine projection (AP) algorithms tailored for sparse system identification (SSI). Contrary to most…
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2009
2009
Dynamic Hedging Under Jump Diffusion with Transaction Costs
J. S. Kennedy
,
P. Forsyth
,
K. Vetzal
Operational Research
2009
Corpus ID: 19002130
If the price of an asset follows a jump diffusion process, the market is in general incomplete. In this case, hedging a…
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Highly Cited
2008
Highly Cited
2008
A new approach for solving the unit commitment problem by adaptive particle swarm optimization
V. S. Pappala
,
Istvan Erlich
IEEE Power & Energy Society General Meeting
2008
Corpus ID: 23623193
This paper presents a new approach for formulating the unit commitment problem which results in a considerable reduction in the…
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Highly Cited
2007
Highly Cited
2007
An Optimization Framework for Conformal Radiation Treatment Planning
G. Lim
,
M. Ferris
,
Stephen J. Wright
,
D. Shepard
,
M. Earl
INFORMS journal on computing
2007
Corpus ID: 7325262
An optimization framework for three-dimensional conformal radiation therapy is presented. In conformal therapy, beams of…
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Highly Cited
2006
Highly Cited
2006
Symmetric Capacity of MIMO Downlink Channels
Juyul Lee
,
N. Jindal
IEEE International Symposium on Information…
2006
Corpus ID: 11403181
This paper studies the symmetric capacity of the MIMO downlink channel, which is defined to be the maximum rate that can be…
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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
Miguel Bagajewics
,
M. Savelski
2001
Corpus ID: 3172678
This paper addresses the optimum design of water utilization systems when a single contaminant is present. The application of the…
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Highly Cited
1999
Highly Cited
1999
Decision tree state tying based on penalized Bayesian information criterion
W. Chou
,
W. 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…
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Highly Cited
1978
Highly Cited
1978
Penalty Factors From Newton's Method
Fernando L. Alvarado
IEEE Transactions on Power Apparatus and Systems
1978
Corpus ID: 21086663
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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