
handle: 11577/100511
A 0,±1 matrix is balanced if, in every submatrix with two nonzero entries per row and column, the sum of the entries is a multiple of 4. This definition was introduced by Truemper and generalizes the notion of balanced 0,1 matrix introduced by Berge. In this tutorial, we survey what is currently known about these matrices: polyhedral results, combinatorial and structural theorems, and recognition algorithms.
bicoloring, Decomposition, decomposition, Balanced matrix, Integral polytope, Other commerce, management, tourism and services not elsewhere classified, balanced hypergraph, Hypergraphs, Bicoloring, Theoretical Computer Science, Lattice polytopes in convex geometry (including relations with commutative algebra and algebraic geometry), Discrete Mathematics and Combinatorics, integral polytope, Balanced hypergraph, Combinatorial aspects of matrices (incidence, Hadamard, etc.)
bicoloring, Decomposition, decomposition, Balanced matrix, Integral polytope, Other commerce, management, tourism and services not elsewhere classified, balanced hypergraph, Hypergraphs, Bicoloring, Theoretical Computer Science, Lattice polytopes in convex geometry (including relations with commutative algebra and algebraic geometry), Discrete Mathematics and Combinatorics, integral polytope, Balanced hypergraph, Combinatorial aspects of matrices (incidence, Hadamard, etc.)
| 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). | 26 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
