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Power iteration

Known as: Power method 
In mathematics, the power iteration is an eigenvalue algorithm: given a matrix , the algorithm will produce a number , which is the greatest (in… Expand
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Related topics

Related topics

19 relations
Arnoldi iterationCentralityComputational physicsComputational problem
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Broader (1)

Numerical linear algebra

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2014
Highly Cited
2014
Nearly-Linear Time Algorithms for Preconditioning and Solving Symmetric, Diagonally Dominant Linear Systems
We present a randomized algorithm that on input a symmetric, weakly diagonally dominant $n$-by-$n$ matrix $A$ with $m$ nonzero… Expand
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Highly Cited
2013
Highly Cited
2013
Third-Order Tensors as Operators on Matrices: A Theoretical and Computational Framework with Applications in Imaging
Recent work by Kilmer and Martin [Linear Algebra Appl., 435 (2011), pp. 641--658] and Braman [Linear Algebra Appl., 433 (2010… Expand
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Highly Cited
2010
Highly Cited
2010
Power Iteration Clustering
We present a simple and scalable graph clustering method called power iteration clustering (PIC). PIC finds a very low… Expand
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Highly Cited
2010
Highly Cited
2010
Generalized Power Method for Sparse Principal Component Analysis
In this paper we develop a new approach to sparse principal component analysis (sparse PCA). We propose two single-unit and two… Expand
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Highly Cited
2010
Highly Cited
2010
A 20 mV Input Boost Converter With Efficient Digital Control for Thermoelectric Energy Harvesting
This paper presents a low power boost converter for thermoelectric energy harvesting that demonstrates an efficiency that is 15… Expand
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Highly Cited
2009
Highly Cited
2009
A tensor-based algorithm for high-order graph matching
This paper addresses the problem of establishing correspondences between two sets of visual features using higher-order… Expand
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Highly Cited
2008
Highly Cited
2008
Joint learning and dictionary construction for pattern recognition
We propose a joint representation and classification framework that achieves the dual goal of finding the most discriminative… Expand
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Highly Cited
2005
Highly Cited
2005
Fast approximated power iteration subspace tracking
This paper introduces a fast implementation of the power iteration method for subspace tracking, based on an approximation that… Expand
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Highly Cited
2003
Highly Cited
2003
Learning Spectral Clustering
Spectral clustering refers to a class of techniques which rely on the eigen-structure of a similarity matrix to partition points… Expand
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Highly Cited
1971
Highly Cited
1971
Elementary proofs of some results of cobordism theory using Steenrod operations
In this paper I give new proofs of the structure theorems for the unoriented cobordism ring [12] and the complex cobordism ring… Expand
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