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• W3120493071 abstract "The maximum-entropy sampling problem is a fundamental and challenging combinatorial-optimization problem, with application in spatial statistics. It asks to find a maximum-determinant order-s principal submatrix of an order-n covariance matrix. Exact solution methods for this NP-hard problem are based on a branch-and-bound framework. Many of the known upper bounds for the optimal value are based on convex optimization. We present a methodology for “mixing” these bounds to achieve better bounds." @default.
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• W3120493071 date "2021-01-04" @default.
• W3120493071 modified "2023-10-16" @default.
• W3120493071 title "Mixing convex-optimization bounds for maximum-entropy sampling" @default.
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• W3120493071 doi "https://doi.org/10.1007/s10107-020-01588-w" @default.
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