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Approximation-preserving reduction

In computability theory and computational complexity theory, especially the study of approximation algorithms, an approximation-preserving reduction… 
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Papers overview

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2018
2018
In recent decades, Asian hospitality firms have been doing remarkably well in terms of their quality services and international… 
2016
2016
Sparsity Preserving Projections (SPP) is a well known approach for feature extraction and dimensionality reduction. Its success… 
2015
2015
Computational simulations have developed to a phase where the inherent physical variability prevalent in computational models… 
2013
2013
Sparsity Preserving Projection(SPP)is a new algorithm for reducing dimensions of dataset based on a weighted graph(l1-Graph… 
2013
2013
A. Reduction-closed barbed congruence Definition 1 (Reduction-closed barbed congruence). Let L be a process calculus, in which a… 
2012
2012
Recently, there has been a lot of interest in the underlying sparse representation structure in high-dimensional data such as… 
2009
2009
The positivity and accuracy properties of the widely used ENO and WENO methods are considered by un- dertaking an analysis based… 
2007
2007
In general, for higher order elliptic equations and boundary value problems like the biharmonic equation and the linear clamped… 
2006
2006
We study the positivity preserving property for the Cauchy problem for the linear fourth order heat equation. Although the…