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- W2167124007 abstract "We show how to approximate the feasible region of structured convex optimization problems by a family of convex sets with explicitly given and efficient (if the accuracy of the approximation is moderate) self-concordant barriers. This approach extends the reach of the modern theory of interior-point methods, and lays the foundation for new ways to treat structured convex optimization problems with a very large number of constraints. Moreover, our approach provides a strong connection from the theory of self-concordant barriers to the combinatorial optimization literature on solving packing and covering problems." @default.
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- W2167124007 date "2010-05-04" @default.
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- W2167124007 title "Self-Concordant Barriers for Convex Approximations of Structured Convex Sets" @default.
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- W2167124007 doi "https://doi.org/10.1007/s10208-010-9069-x" @default.
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