On a weighted linear matroid intersection algorithm by deg-det computation
August 30, 2019 Β· Declared Dead Β· π Japan journal of industrial and applied mathematics
"No code URL or promise found in abstract"
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Authors
Hiroki Furue, Hiroshi Hirai
arXiv ID
1908.11529
Category
cs.DS: Data Structures & Algorithms
Citations
4
Venue
Japan journal of industrial and applied mathematics
Last Checked
4 months ago
Abstract
In this paper, we address the weighted linear matroid intersection problem from the computation of the degree of the determinants of a symbolic matrix. We show that a generic algorithm computing the degree of noncommutative determinants, proposed by the second author, becomes an $O(mn^3 \log n)$ time algorithm for the weighted linear matroid intersection problem, where two matroids are given by column vectors $n \times m$ matrices $A,B$. We reveal that our algorithm is viewed as a "nonstandard" implementation of Frank's weight splitting algorithm for linear matroids. This gives a linear algebraic reasoning to Frank's algorithm. Although our algorithm is slower than existing algorithms in the worst case estimate, it has a notable feature: Contrary to existing algorithms, our algorithm works on different matroids represented by another "sparse" matrices $A^0,B^0$, which skips unnecessary Gaussian eliminations for constructing residual graphs.
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