activity
20132023
most citedModel selection for hybrid dynamical systems via sparse regression

75 citations · 161 across the 11 of their papers we have counts for

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Showing 2017Show all

5 papers · 1 filter

math.OC2017

Robust and scalable methods for the dynamic mode decomposition

Travis Askham, Peng Zheng, Aleksandr Aravkin +1

The dynamic mode decomposition (DMD) is a broadly applicable dimensionality reduction algorithm that approximates a matrix containing time-series data by the outer product of a mat…

nlin.PS2017★ 2 cited

Stability and Dynamics of Microring Combs: Elliptic function solutions of the Lugiato-Lefever equation

Chang Sun, Travis Askham, J. Nathan Kutz

We consider a new class of periodic solutions to the Lugiato-Lefever equations (LLE) that govern the electromagnetic field in a microresonator cavity. Specifically, we rigorously c…

math.NA2017

A stabilized separation of variables method for the modified biharmonic equation

Travis Askham

The modified biharmonic equation is encountered in a variety of application areas, including streamfunction formulations of the Navier-Stokes equations. We develop a separation of…

math.NA2017★ 7 cited

Integral equation formulation of the biharmonic Dirichlet problem

Manas Rachh, Travis Askham

We present a novel integral representation for the biharmonic Dirichlet problem. To obtain the representation, the Dirichlet problem is first converted into a related Stokes proble…

math.NA2017★ 1 cited

Variable projection methods for an optimized dynamic mode decomposition

Travis Askham, J. Nathan Kutz

The dynamic mode decomposition (DMD) has become a leading tool for data-driven modeling of dynamical systems, providing a regression framework for fitting linear dynamical models t…