Showing papers in "Linear Algebra and its Applications in 1970"
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TL;DR: In this paper, characterizations of copositive plus matrices are given, together with relationships of these matrices with positive semidefinite matrices and their quadratic forms.
94 citations
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TL;DR: In this paper, it was shown that if the first k columns of a polynomial matrix are expressed as linear combinations of the remaining δ(a) − k columns (which are linearly independent), then the greatest common divisor is given by the coefficients of column k + 1 in these expressions.
50 citations
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43 citations
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TL;DR: The explicit solution of (IP) when A has full row rank is used here to derive an iterative method for solving the general (IP), which is shown to be a dual method with multiple substitution.
36 citations
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TL;DR: In this paper, it was shown that if the number of vertices is large enough, the existence of a graph with the same spectrum as the line graph of a complete bipartite graph and which is not isomorphic to it is equivalent to a symmetric Hadamard matrix with constant diagonal.
28 citations
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TL;DR: Theorem 9.1 as mentioned in this paper shows that T preserves rank k matrices if T(Rk) ⊆ Rk, where Rk is the set of all rank j matrices in Mm,n(F).
27 citations
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26 citations
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20 citations
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TL;DR: Two alternative algorithms for solving Gomory's asymptotic integer programming algorithm, which consists of the simplex method, transformation of a matrix into Smith's normal form, and a group minimization algorithm.
18 citations
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18 citations
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TL;DR: A convex quadratic program has Kuhn-Tucker conditions which are necessary and sufficient, and suggest a dual problem as mentioned in this paper, and these conditions may be formulated in a convenient schematic notation which leads to a finite class of equivalent problems displaying Cottle's duality.
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TL;DR: In this article, it was shown that when the primal feasible set is nonempty and bounded, the dual set is bounded if and only if all variables, including slacks, are unbounded.
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TL;DR: In this article, the authors considered symmetric n × n matrices over a field F finite dimensional extension of the rationals and proved the Hilbert-Landau theorem for such matrices.
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TL;DR: For a Hermitian n × n matrix of the form H = P ρQ ρ Q ∗ R of which all the eigenvalues of the s × s submatrix P are greater than all eigen values of the square t × t sub-matrix R, it is proved in this paper that the s greater eigen value of H is increasing and the remaining t eigenvalue of H are decreasing functions of the absolute value of the complex variable ρ.
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TL;DR: In this article, the behavior of the eigenvalues of a finite birth and death matrix with subdiagonal elements was investigated, and the most negative eigenvalue was strictly decreasing along a straight line ai = rbj, r > 0.
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