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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.
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
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
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
Highly Cited
2004
Highly Cited
2004
Optimization is the science of making a best choice in the face of conflicting requirements. Any convex optimization problem has… Expand
Review
2001
Review
2001
This is a book devoted to well-structured and thus efficiently solvable convex optimization problems, with emphasis on conic… Expand
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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Highly Cited
1987
Highly Cited
1987
Sun, 06 Jan 2019 10:24:00 GMT lectures on modern convex optimization pdf Convex optimization problems arise frequently in many… Expand
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