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   Articles with "plus algebra" as a keyword



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Polynomial convolutions in max-plus algebra

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recommendations! Published in 2019 at "Linear Algebra and its Applications"

DOI: 10.1016/j.laa.2019.05.020

Abstract: Abstract Recently, in a work that grew out of their exploration of interlacing polynomials, Marcus, Spielman and Srivastava [21] and Marcus [20] studied certain combinatorial polynomial convolutions. These convolutions preserve real-rootedness and capture expectations of… read more here.

Keywords: convolutions max; plus algebra; polynomial convolutions; max plus ... See more keywords
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The Aplication of Max-Plus Algebra to Determine The Optimal Time of Ikat Kupang Woven Production

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recommendations! Published in 2017 at "International Journal of Computing"

DOI: 10.12962/j24775401.v3i2.2317

Abstract: The problem of scheduling is a problem that becomes part of project management that aims to plan the implementation of activities in a project in a structured manner with a clear time limit. Kupang ikat… read more here.

Keywords: kupang ikat; time; optimal time; plus algebra ... See more keywords
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An Efficient Algorithm for Nontrivial Eigenvectors in Max-Plus Algebra

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recommendations! Published in 2019 at "Symmetry"

DOI: 10.3390/sym11060738

Abstract: The eigenproblem for matrices in max-plus algebra describes the steady state of the system, and therefore it has been intensively studied by many authors. In this paper, we propose an algorithm to compute the eigenvalue… read more here.

Keywords: algorithm nontrivial; max plus; eigenvectors max; efficient algorithm ... See more keywords
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Trivial and Nontrivial Eigenvectors for Latin Squares in Max-Plus Algebra

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recommendations! Published in 2022 at "Symmetry"

DOI: 10.3390/sym14061101

Abstract: A square array whose all rows and columns are different permutations of the same length over the same symbol set is known as a Latin square. A Latin square may or may not be symmetric.… read more here.

Keywords: latin square; latin squares; trivial nontrivial; nontrivial eigenvectors ... See more keywords