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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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Related topics
Related topics
6 relations
Bramble–Hilbert lemma
Convex conjugate
Proximal gradient methods for learning
Singular value decomposition
Broader (2)
Linear algebra
Mathematical optimization
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
Tensor Completion Using Spectral $(k,p)$ -Support Norm
Dongxu Wei
,
Andong Wang
,
Bo Wang
,
Xiaoqin Feng
IEEE Access
2018
Corpus ID: 3966045
In this paper, the goal is to reconstruct a tensor, i.e., a multi-dimensional array, when only subsets of its entries are…
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2018
2018
Reduced order models for fluid-structure interaction problems with applications in haemodynamics
C. M. Colciago
,
S. Deparis
2018
Corpus ID: 118411879
This paper deals with fast simulations of the haemodynamics in large arteries by considering a reduced model of the associated…
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2016
2016
Causal Inference by Minimizing the Dual Norm of Bias: Kernel Matching & Weighting Estimators for Causal Effects
Nathan Kallus
CFA@UAI
2016
Corpus ID: 11524433
We consider the problem of estimating causal effects from observational data and propose a novel framework for matching- and…
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2014
2014
Linear Convergence of Variance-Reduced Projected Stochastic Gradient without Strong Convexity
Pinghua Gong
,
Jieping Ye
arXiv.org
2014
Corpus ID: 118767483
Stochastic gradient algorithms compute the gradient based on only one sample (or just a few samples) and enjoy low computational…
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2014
2014
Approximating Combined Discrete Total Variation and Correlated Sparsity With Convex Relaxations
Eugene Belilovsky
,
Andreas Argyriou
,
Matthew B. Blaschko
Neural Information Processing Systems
2014
Corpus ID: 14494350
The recently introduced k-support norm has been successfully applied to sparse prediction problems with correlated features. This…
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2013
2013
Best approximation on semi-algebraic sets and k-border rank approximation of symmetric tensors
S. Friedland
,
Małgorzata Stawiska
2013
Corpus ID: 119024128
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…
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2010
2010
State smoothing by sum-of-norms regularization
Henrik Ohlsson
,
F. Gustafsson
,
L. Ljung
,
Stephen P. Boyd
IEEE Conference on Decision and Control
2010
Corpus ID: 18002322
The presence of abrupt changes, such as impulsive disturbances and load disturbances, make state estimation considerably more…
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2010
2010
Convex Duality Approach: to Robust Stabilization of Uncertain Plants
Svetlana Iantchenko
2010
Corpus ID: 120356945
In this thesis we are study the problem of designing the controllers that are robust with respect to the parametric uncertainty…
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1982
1982
Renorming dual Banach lattices
N. Ghoussoub
1982
Corpus ID: 54176903
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…
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1979
1979
A short proof of a version of Asplund’s norm averaging theorem
K. John
,
V. Zizler
1979
Corpus ID: 119700125
A short proof is given of a somewhat weaker version of Asplund's result on averaging smooth and rotund norms in Banach spaces. In…
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