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Dual norm

In functional analysis, the dual norm is a measure of the "size" of continuous linear functionals. The formal proof for the dual norm depends upon… 
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Papers overview

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2018
2018
In this paper, the goal is to reconstruct a tensor, i.e., a multi-dimensional array, when only subsets of its entries are… 
2018
2018
This paper deals with fast simulations of the haemodynamics in large arteries by considering a reduced model of the associated… 
2016
2016
We consider the problem of estimating causal effects from observational data and propose a novel framework for matching- and… 
2014
2014
Stochastic gradient algorithms compute the gradient based on only one sample (or just a few samples) and enjoy low computational… 
2014
2014
The recently introduced k-support norm has been successfully applied to sparse prediction problems with correlated features. This… 
2013
2013
In the first part of this paper we study a best approximation of a vector in Euclidean space R^n with respect to a closed semi… 
2010
2010
The presence of abrupt changes, such as impulsive disturbances and load disturbances, make state estimation considerably more… 
2010
2010
In this thesis we are study the problem of designing the controllers that are robust with respect to the parametric uncertainty… 
1982
1982
Introduction. A norm 11 11 on a Banach space is said to be locally uniformly convex if IIxn II -> IIxII and IIx + xn,IJI-> 2J1xII… 
1979
1979
A short proof is given of a somewhat weaker version of Asplund's result on averaging smooth and rotund norms in Banach spaces. In…