activity
20152018
most citedThe Maximum Likelihood Degree of Toric Varieties

38 citations · 41 across the 4 of their papers we have counts for

collaborators

5 papers

cs.SC2018★ 1 cited

Monodromy Solver: Sequential and Parallel

Nathan Bliss, Timothy Duff, Anton Leykin +1

We describe, study, and experiment with an algorithm for finding all solutions of systems of polynomial equations using homotopy continuation and monodromy. This algorithm follows…

math.AG2017★ 38 cited

The Maximum Likelihood Degree of Toric Varieties

Carlos Améndola, Nathan Bliss, Isaac Burke +6

We study the maximum likelihood degree (ML degree) of toric varieties, known as discrete exponential models in statistics. By introducing scaling coefficients to the monomial param…

math.NA2016

The Method of Gauss-Newton to Compute Power Series Solutions of Polynomial Homotopies

Nathan Bliss, Jan Verschelde

We consider the extension of the method of Gauss-Newton from complex floating-point arithmetic to the field of truncated power series with complex floating-point coefficients. With…

cs.SC2016

Computing all Space Curve Solutions of Polynomial Systems by Polyhedral Methods

Nathan Bliss, Jan Verschelde

A polyhedral method to solve a system of polynomial equations exploits its sparse structure via the Newton polytopes of the polynomials. We propose a hybrid symbolic-numeric method…

cs.MS2015★ 2 cited

Solving Polynomial Systems in the Cloud with Polynomial Homotopy Continuation

Nathan Bliss, Jeff Sommars, Jan Verschelde +1

Polynomial systems occur in many fields of science and engineering. Polynomial homotopy continuation methods apply symbolic-numeric algorithms to solve polynomial systems. We descr…