Abstract
We study the (0,1)-matrix completion with prescribed row and column sums wherein the ones are permitted in a set of positions that form a Young diagram. We characterize the solvability of such (0,1)-matrix completion problems via the nonnegativity of a structure tensor which is defined in terms of the problem parameters: the row sums, column sums, and the positions of fixed zeros. This reduces the exponential number of inequalities in a direct characterization yielded by the max-flow min-cut theorem to a polynomial number of inequalities. The result is applied to two engineering problems arising in smart grid and real-time systems, respectively.
Original language | English |
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Pages (from-to) | 171-185 |
Number of pages | 15 |
Journal | Linear Algebra and Its Applications |
Volume | 510 |
Early online date | 26 Aug 2016 |
DOIs | |
Publication status | Published - 1 Dec 2016 |
Externally published | Yes |
Bibliographical note
Publisher Copyright:© 2016 Elsevier Inc.
Keywords
- Constrained (0,1)-matrix completion
- Fixed zeros
- Structure tensor
- Young diagram