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Suppose that one observes an incomplete subset of entries selected from a low-rank matrix. When is it possible to complete the… Expand We consider a problem of considerable practical interest: the recovery of a data matrix from a sampling of its entries. Suppose… Expand We consider the problem of choosing a set of k sensor measurements, from a set of m possible or potential sensor measurements… Expand Abstract
In an online convex optimization problem a decision-maker makes a sequence of decisions, i.e., chooses a sequence of… Expand Convex optimization problems arise frequently in many different fields. A comprehensive introduction to the subject, this book… Expand It was in the middle of the 1980s, when the seminal paper by Kar markar opened a new epoch in nonlinear optimization. The… Expand Optimization is the science of making a best choice in the face of conflicting requirements. Any convex optimization problem has… Expand This is a book devoted to well-structured and thus efficiently solvable convex optimization problems, with emphasis on conic… Expand We study convex optimization problems for which the data is not specified exactly and it is only known to belong to a given… Expand Sun, 06 Jan 2019 10:24:00 GMT lectures on modern convex optimization pdf Convex optimization problems arise frequently in many… Expand