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» The Sinkhorn-Knopp Algorithm: Convergence and Applications
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2000
ACM
14 years 8 days ago
Parallel Smoothed Aggregation Multigrid: Aggregation Strategies on Massively Parallel Machines
Algebraic multigrid methods offer the hope that multigrid convergence can be achieved (for at least some important applications) without a great deal of effort from engineers an...
Ray S. Tuminaro, Charles Tong
NN
2000
Springer
192views Neural Networks» more  NN 2000»
13 years 7 months ago
A new algorithm for learning in piecewise-linear neural networks
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman E...
TEC
2002
101views more  TEC 2002»
13 years 7 months ago
Quantum-inspired evolutionary algorithm for a class of combinatorial optimization
This paper proposes a novel evolutionary algorithm inspired by quantum computing, called a quantum-inspired evolutionary algorithm (QEA), which is based on the concept and principl...
Kuk-Hyun Han, Jong-Hwan Kim
GECCO
2006
Springer
206views Optimization» more  GECCO 2006»
13 years 11 months ago
A dynamically constrained genetic algorithm for hardware-software partitioning
In this article, we describe the application of an enhanced genetic algorithm to the problem of hardware-software codesign. Starting from a source code written in a high-level lan...
Pierre-André Mudry, Guillaume Zufferey, Gia...
TSP
2008
178views more  TSP 2008»
13 years 7 months ago
Heteroscedastic Low-Rank Matrix Approximation by the Wiberg Algorithm
Abstract--Low-rank matrix approximation has applications in many fields, such as 2D filter design and 3D reconstruction from an image sequence. In this paper, one issue with low-ra...
Pei Chen