Complexity of linear circuits and geometry

F Gesmundo, JD Hauenstein, C Ikenmeyer… - Foundations of …, 2016 - Springer
Foundations of Computational Mathematics, 2016Springer
We use algebraic geometry to study matrix rigidity and, more generally, the complexity of
computing a matrix–vector product, continuing a study initiated in Kumar et al.(2009),
Landsberg et al.(preprint). In particular, we (1) exhibit many non-obvious equations testing
for (border) rigidity,(2) compute degrees of varieties associated with rigidity,(3) describe
algebraic varieties associated with families of matrices that are expected to have super-
linear rigidity, and (4) prove results about the ideals and degrees of cones that are of interest …
Abstract
We use algebraic geometry to study matrix rigidity and, more generally, the complexity of computing a matrix–vector product, continuing a study initiated in Kumar et al. (2009), Landsberg et al. (preprint). In particular, we (1) exhibit many non-obvious equations testing for (border) rigidity, (2) compute degrees of varieties associated with rigidity, (3) describe algebraic varieties associated with families of matrices that are expected to have super-linear rigidity, and (4) prove results about the ideals and degrees of cones that are of interest in their own right.
Springer
Showing the best result for this search. See all results