From differential equation solvers to accelerated first-order methods for convex optimization
From differential equation solvers to accelerated first-order methods for convex optimization
About this item
Full title
Author / Creator
Luo, Hao and Chen, Long
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
Convergence analysis of accelerated first-order methods for convex optimization problems are developed from the point of view of ordinary differential equation solvers. A new dynamical system, called Nesterov accelerated gradient (NAG) flow, is derived from the connection between acceleration mechanism and
A
-stability of ODE solvers, and the...
Alternative Titles
Full title
From differential equation solvers to accelerated first-order methods for convex optimization
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_journals_2727217972
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2727217972
Other Identifiers
ISSN
0025-5610
E-ISSN
1436-4646
DOI
10.1007/s10107-021-01713-3
