activity
20102026
most citedAlgebraic Geometrization of the Kuramoto Model: Equilibria and Stability Analysis

79 citations · 407 across the 53 of their papers we have counts for

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Showing 2014Show all

10 papers · 1 filter

math.NA2014★ 2 cited

Certified counting of roots of random univariate polynomials

Joseph Cleveland, Jeffrey Dzugan, Jonathan D. Hauenstein +5

A challenging problem in computational mathematics is to compute roots of a high-degree univariate random polynomial. We combine an efficient multiprecision implementation for solv…

cond-mat.stat-mech2014★ 10 cited

Energy Landscape of the Finite-Size Mean-field 2-Spin Spherical Model and Topology Trivialization

Dhagash Mehta, Jonathan D. Hauenstein, Matthew Niemerg +2

Motivated by the recently observed phenomenon of topology trivialization of potential energy landscapes (PELs) for several statistical mechanics models, we perform a numerical stud…

cs.SC2014★ 6 cited

Certifying solutions to overdetermined and singular polynomial systems over Q

Tulay Ayyildiz Akoglu, Jonathan D. Hauenstein, Agnes Szanto

This paper is concerned with certifying that a given point is near an exact root of an overdetermined or singular polynomial system with rational coefficients. The difficulty lies…

hep-th2014★ 15 cited

Global Structure of Curves from Generalized Unitarity Cut of Three-loop Diagrams

Jonathan D. Hauenstein, Rijun Huang, Dhagash Mehta +1

This paper studies the global structure of algebraic curves defined by generalized unitarity cut of four-dimensional three-loop diagrams with eleven propagators. The global structu…

math.AG2014★ 9 cited

Computations and Equations for Segre-Grassmann hypersurfaces

Noah S. Daleo, Jonathan D. Hauenstein, Luke Oeding

In 2013, Abo and Wan studied the analogue of Waring's problem for systems of skew-symmetric forms and identified several defective systems. Of particular interest is when a certain…

physics.chem-ph2014★ 7 cited

Certification and the Potential Energy Landscape

Dhagash Mehta, Jonathan D. Hauenstein, David J. Wales

Typically, there is no guarantee that a numerical approximation obtained using standard nonlinear equation solvers is indeed an actual solution, meaning that it lies in the quadrat…