activity
20202026
most citedThe Long-Term Forecast of Station View Periods for Elliptical Orbits

1 citations · 1 across the 7 of their papers we have counts for

collaborators

7 papers

math.CV2026

Analysis of Log-Weighted Quadrature Domains

Andrew Graven

This paper studies plane domains satisfying a quadrature identity with respect to the singular weight . These are referred to as log-weighted quadrature domains (L…

math.CV2025

Quadrature Domains and the Faber Transform

Andrew J. Graven, Nikolai G. Makarov

We present a framework for reconstructing any simply connected, bounded or unbounded, quadrature domain from its quadrature function . Using the Faber transform, we derive f…

math.OC2021

A Geometric Approach to Optimal Control of Hybrid and Impulsive Systems

William Clark, Maria Oprea, Andrew J. Graven

Hybrid dynamical systems are systems which undergo both continuous and discrete transitions. The Bolza problem from optimal control theory is applied to these systems and a hybrid…

math.SG2021

An Elementary Proof of Poincaré's Last Geometric Theorem

Andrew J. Graven, John H. Hubbard

It is shown that the Poincaré-Birkhoff fixed point theorem may be proven by extending the geometric approach originally devised by Henri Poincaré himself, along with several result…

astro-ph.EP2021

A Rapid Method For Orbital Coverage Statistics With Using Ergodic Theory

Andrew J. Graven, Alan H. Barr, Martin W. Lo

Quantifying long-term statistical properties of satellite trajectories typically entails time-consuming trajectory propagation. We present a fast, ergodic\cite{Arnold} method of an…

astro-ph.EP2020★ 1 cited

The Long-Term Forecast of Station View Periods for Elliptical Orbits

Andrew J. Graven, Martin W. Lo

In a previous paper, using ergodic theory, Lo [1] derived a simple definite integral that provided an estimate of the view periods of ground stations to satellites. This assumes th…

cs.LG2020

Density of States Graph Kernels

Leo Huang, Andrew Graven, David Bindel

A fundamental problem on graph-structured data is that of quantifying similarity between graphs. Graph kernels are an established technique for such tasks; in particular, those bas…