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Linear Algebra and its Applications
Article
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Linear Algebra and its Applications
Article . 2004
License: Elsevier Non-Commercial
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Linear Algebra and its Applications
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Article . 2004
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Lower bounds on zero–one matrices

Lower bounds on zero-one matrices.
Authors: Toni, A.;

Lower bounds on zero–one matrices

Abstract

Let \(R\) , \(U\) denote two zero-one matrices whose product \(T = R \times U\) is the full upper triangular zero-one matrix, i.e. each element is \(1\) if it is not under the main diagonal. By means of elementary tools of linear algebra the author establishes a lower bound for the sum of all entries of both \(R\) and \(U\) and proves that this lower bound is really reached.

Keywords

Zero–one matrices, zero-one matrices, Numerical Analysis, Algebra and Number Theory, Matrix equations and identities, Lower bounds, Matrices of integers, lower bounds, matrix equations, Discrete Mathematics and Combinatorics, Matrix equations, Geometry and Topology, Combinatorial aspects of matrices (incidence, Hadamard, etc.)

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
hybrid