Speeding up Paulson's procedure for large-scale problems using parallel computing
Year of publication: |
2022
|
---|---|
Authors: | Zhong, Ying ; Liu, Shaoxuan ; Luo, Jun ; Hong, L. Jeff |
Published in: |
INFORMS journal on computing : JOC ; charting new directions in operations research and computer science ; a journal of the Institute for Operations Research and the Management Sciences. - Linthicum, Md. : INFORMS, ISSN 1526-5528, ZDB-ID 2004082-9. - Vol. 34.2022, 1, p. 586-606
|
Subject: | computational complexity | fully sequential procedures | parallel computing | ranking and selection | Theorie | Theory | Computerunterstützung | Computerized method | Mathematische Optimierung | Mathematical programming | Ranking-Verfahren | Ranking method |
-
On the design of R-based scalable frameworks for data science applications
Theußl, Stefan Peter, (2020)
-
Zhong, Ying, (2022)
-
Metamodel-based simulation optimization considering a single stochastic constraint
Tsai, Shing Chih, (2023)
- More ...
-
Earning and Learning with Varying Cost
Zhong, Ying, (2021)
-
Zhong, Ying, (2022)
-
Solving large-scale fixed-budget ranking and selection problems
Hong, L. Jeff, (2022)
- More ...