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20172022
most citedHomotopy techniques for solving sparse column support determinantal polynomial systems

7 citations · 10 across the 4 of their papers we have counts for

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cs.SC20223 cited

Rank-Sensitive Computation of the Rank Profile of a Polynomial Matrix

George Labahn, Vincent Neiger, Thi Xuan Vu +1

Consider a matrix of univariate polynomials over a field . We study the problem of computing the column rank profile of $\ma…

cs.SC2022

Bohemian Matrix Geometry

Robert M. Corless, George Labahn, Dan Piponi +1

A Bohemian matrix family is a set of matrices all of whose entries are drawn from a fixed, usually discrete and hence bounded, subset of a field of characteristic zero. Originally…

cs.SC2020

Computing critical points for invariant algebraic systems

Jean-Charles Faugère, George Labahn, Mohab Safey El Din +2

Let be a field and , in be multivariate polynomials (with ) invariant under the action of $\m…

cs.SC20207 cited

Homotopy techniques for solving sparse column support determinantal polynomial systems

George Labahn, Mohab Safey El Din, Éric Schost +1

Let be a field of characteristic zero with its algebraic closure. Given a sequence of polynomials $\mathbf{g} = (g_1, \ldots, g_s) \in \mathbf{…

cs.SC2020

Efficient q-Integer Linear Decomposition of Multivariate Polynomials

Mark Giesbrecht, Hui Huang, George Labahn +1

We present two new algorithms for the computation of the q-integer linear decomposition of a multivariate polynomial. Such a decomposition is essential for the treatment of q-hyper…

cs.SC2018

Computing Nearby Non-trivial Smith Forms

Mark Giesbrecht, Joseph Haraldson, George Labahn

We consider the problem of computing the nearest matrix polynomial with a non-trivial Smith Normal Form. We show that computing the Smith form of a matrix polynomial is amenable to…