M. Paul Laiu

According to our database, M. Paul Laiu authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Anderson acceleration with approximate calculations: Applications to scientific computing.

Massimiliano Lupo Pasini, M. Paul Laiu

Numer. Linear Algebra Appl., October, 2024

Convergence of Weak-SINDy Surrogate Models.

Benjamin P. Russo, M. Paul Laiu

SIAM J. Appl. Dyn. Syst., 2024

Convergence Analysis of the Alternating Anderson-Picard Method for Nonlinear Fixed-point Problems.

Xue Feng, M. Paul Laiu, Thomas Strohmer

CoRR, 2024

Federated Dynamical Low-Rank Training with Global Loss Convergence Guarantees.

Steffen Schotthöfer, M. Paul Laiu

CoRR, 2024

Structure-preserving neural networks for the regularized entropy-based closure of the Boltzmann moment system.

Steffen Schotthöfer, M. Paul Laiu, Martin Frank, Cory D. Hauck

CoRR, 2024

2023

DG-IMEX Method for a Two-Moment Model for Radiation Transport in the O(v/c) Limit.

M. Paul Laiu, Eirik Endeve, James Austin Harris, Zachary Elledge, Anthony Mezzacappa

CoRR, 2023

Streaming Compression of Scientific Data via weak-SINDy.

Benjamin P. Russo, M. Paul Laiu, Richard Archibald

CoRR, 2023

2022

An infeasible-start framework for convex quadratic optimization, with application to constraint-reduced interior-point and other methods.

M. Paul Laiu, André L. Tits

Math. Program., 2022

Exascale models of stellar explosions: Quintessential multi-physics simulation.

James Austin Harris, Ran Chu, Sean M. Couch, Anshu Dubey, Eirik Endeve, Antigoni Georgiadou, Rajeev Jain, Daniel Kasen, M. Paul Laiu, O. E. Bronson Messer, Jared O'Neal, Michael A. Sandoval, Klaus Weide

Int. J. High Perform. Comput. Appl., 2022

2021

Analysis of a New Implicit Solver for a Semiconductor Model.

Victor P. DeCaria, Cory D. Hauck, Ming Tse P. Laiu

SIAM J. Sci. Comput., 2021

In situ compression artifact removal in scientific data using deep transfer learning and experience replay.

Sandeep Madireddy, Ji Hwan Park, Sunwoo Lee, Prasanna Balaprakash, Shinjae Yoo, Wei-keng Liao, Cory D. Hauck, M. Paul Laiu, Richard Archibald

Mach. Learn. Sci. Technol., 2021

Data-driven, structure-preserving approximations to entropy-based moment closures for kinetic equations.

William A. Porteous, M. Paul Laiu, Cory D. Hauck

CoRR, 2021

2020

A fast implicit solver for semiconductor models in one space dimension.

M. Paul Laiu, Zheng Chen, Cory D. Hauck

J. Comput. Phys., 2020

2019

A Positive Asymptotic-Preserving Scheme for Linear Kinetic Transport Equations.

M. Paul Laiu, Martin Frank, Cory D. Hauck

SIAM J. Sci. Comput., 2019

Analysis of the Zero Relaxation Limit of Hyperbolic Balance Laws with Random Initial Data.

James M. Scott, M. Paul Laiu, Cory D. Hauck

SIAM/ASA J. Uncertain. Quantification, 2019

Positivity Limiters for Filtered Spectral Approximations of Linear Kinetic Transport Equations.

M. Paul Laiu, Cory D. Hauck

J. Sci. Comput., 2019

A constraint-reduced MPC algorithm for convex quadratic programming, with a modified active set identification scheme.

M. Paul Laiu, André L. Tits

Comput. Optim. Appl., 2019

2016

Positive Filtered P_N Moment Closures for Linear Kinetic Equations.

M. Paul Laiu, Cory D. Hauck, Ryan G. McClarren, Dianne P. O'Leary, André L. Tits

SIAM J. Numer. Anal., 2016