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20102025
most citedSparse Principal Component Analysis via Variable Projection

163 citations · 704 across the 74 of their papers we have counts for

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Showing 2019 · math.OCShow all

6 papers · 2 filters

math.OC2019★ 1 cited

A Proof of Principle: Multi-Modality Radiotherapy Optimization

Roman Levin, Aleksandr Y. Aravkin, Minsun Kim

Radiotherapy is used to treat cancer patients by damaging DNA of tumor cells using ionizing radiation. Photons are the most widely used radiation type for therapy, having been put…

math.OC2019

Efficient Robust Parameter Identification in Generalized Kalman Smoothing Models

Jonathan Jonker, Peng Zheng, Aleksandr Y. Aravkin

Dynamic inference problems in autoregressive (AR/ARMA/ARIMA), exponential smoothing, and navigation are often formulated and solved using state-space models (SSM), which allow a ra…

math.OC2019

Preliminary Results in Current Profile Estimation and Doppler-aided Navigation for Autonomous Underwater Gliders

Jonathan Jonker, Andrey Shcherbina, Richard Krishfield +3

This paper describes the development and experimental results of navigation algorithms for an autonomous underwater glider (AUG) that uses an on-board acoustic Doppler current prof…

math.OC2019★ 6 cited

A nonconvex optimization approach to IMRT planning with dose-volume constraints

Kelsey Maass, Minsun Kim, Aleksandr Aravkin

Fluence map optimization for intensity-modulated radiation therapy planning can be formulated as a large-scale inverse problem with competing objectives and constraints associated…

math.OC2019

Robust Singular Smoothers For Tracking Using Low-Fidelity Data

Jonathan Jonker, Aleksandr Aravkin, James V. Burke +2

Tracking underwater autonomous platforms is often difficult because of noisy, biased, and discretized input data. Classic filters and smoothers based on standard assumptions of Gau…

math.OC2019

Offline state estimation for hybrid systems via nonsmooth variable projection

Jize Zhang, Andrew M. Pace, Samuel A. Burden +1

A hybrid dynamical system switches between dynamic regimes at time- or state-triggered events. We propose an offline algorithm that simultaneously estimates discrete and continuous…