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20102023
most citedA non-adapted sparse approximation of PDEs with stochastic inputs

460 citations · 1.9k across the 48 of their papers we have counts for

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Showing 2016Show all

5 papers · 1 filter

stat.AP2016★ 8 cited

Orbit Uncertainty Propagation and Sensitivity Analysis With Separated Representations

Marc Balducci, Brandon Jones, Alireza Doostan

Most approximations for stochastic differential equations with high-dimensional, non-Gaussian inputs suffer from a rapid (e.g., exponential) increase of computational cost, an issu…

stat.CO2016★ 54 cited

A Low-rank Control Variate for Multilevel Monte Carlo Simulation of High-dimensional Uncertain Systems

Hillary Fairbanks, Alireza Doostan, Christian Ketelsen +1

Multilevel Monte Carlo (MLMC) is a recently proposed variation of Monte Carlo (MC) simulation that achieves variance reduction by simulating the governing equations on a series of…

physics.comp-ph2016

Time-dependent global sensitivity analysis with active subspaces for a lithium ion battery model

Paul G. Constantine, Alireza Doostan

Renewable energy researchers use computer simulation to aid the design of lithium ion storage devices. The underlying models contain several physical input parameters that affect m…

physics.bio-ph2016★ 51 cited

Contributions of microtubule dynamic instability and rotational diffusion to kinetochore capture

Robert Blackwell, Oliver Sweezy-Schindler, Christopher Edelmaier +8

Microtubule dynamic instability allows search and capture of kinetochores during spindle formation, an important process for accurate chromosome segregation during cell division. R…

math.NA2016★ 7 cited

Optimization via Separated Representations and the Canonical Tensor Decomposition

Matthew J Reynolds, Gregory Beylkin, Alireza Doostan

We introduce a new, quadratically convergent algorithm for finding maximum absolute value entries of tensors represented in the canonical format. The computational complexity of th…