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University of Illinois at Urbana-Champaign

Optimization-based algebraic multigrid coarsening using reinforcement learning

Abstract

dc:description

DSpace SAF Submission Ingestion Package generated from Vireo submission #16982 on 2022-01-12 at 12:46:07

Degree

thesis:*
Name thesis:degree_name
M.S.
Level thesis:degree_level
Thesis
Discipline thesis:degree_discipline
Mechanical Engineering
Grantor
University of Illinois at Urbana-Champaign
Year dc:date
2022

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Taghibakhshi, Ali
Contributors dc:contributor
  • West, Mathew

Subjects

dc:subject × 3

Rights

dc:rights
Statement dc:rights
  • Copyright 2021 Ali Taghibakhshi
Language dc:language
en

Identifiers

dc:identifier.*
Handle dc:identifier
http://hdl.handle.net/2142/113063
OAI identifier oai:identifier
oai:www.ideals.illinois.edu:2142/113063

Chain of custody

source
Harvested from
University of Illinois - Urbana-Champaign
Base URL
www.ideals.illinois.edu/oai-pmh
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Taghibakhshi, Ali. Optimization-based algebraic multigrid coarsening using reinforcement learning. Thesis thesis, University of Illinois at Urbana-Champaign, 2022. http://hdl.handle.net/2142/113063