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Convex optimization

Known as: Convex programming, Convex optimization problem, Convex problem 
Convex minimization, a subfield of optimization, studies the problem of minimizing convex functions over convex sets. The convexity property can make… Expand
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Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2018
Review
2018
In decentralized optimization, nodes cooperate to minimize an overall objective function that is the sum (or average) of per-node… Expand
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Review
2018
Review
2018
Low-rank modeling plays a pivotal role in signal processing and machine learning, with applications ranging from collaborative… Expand
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Review
2018
Review
2018
Cloud radio access network (C-RAN) has emerged as a potential candidate of the next generation access network technology to… Expand
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Highly Cited
2012
Highly Cited
2012
Suppose that one observes an incomplete subset of entries selected from a low-rank matrix. When is it possible to complete the… Expand
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Highly Cited
2009
Highly Cited
2009
We consider a problem of considerable practical interest: the recovery of a data matrix from a sampling of its entries. Suppose… Expand
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Highly Cited
2009
Highly Cited
2009
We consider the problem of choosing a set of k sensor measurements, from a set of m possible or potential sensor measurements… Expand
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Highly Cited
2007
Highly Cited
2007
Abstract In an online convex optimization problem a decision-maker makes a sequence of decisions, i.e., chooses a sequence of… Expand
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Highly Cited
2006
Highly Cited
2006
Convex optimization problems arise frequently in many different fields. A comprehensive introduction to the subject, this book… Expand
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Highly Cited
2004
Highly Cited
2004
It was in the middle of the 1980s, when the seminal paper by Kar markar opened a new epoch in nonlinear optimization. The… Expand
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Highly Cited
1998
Highly Cited
1998
We study convex optimization problems for which the data is not specified exactly and it is only known to belong to a given… Expand
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