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The spatial correlation function approach to response surface estimation

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Toby J. Mitchell,

Max D. MorrisAuthors Info & Claims

WSC '92: Proceedings of the 24th conference on Winter simulation

Pages 565 - 571

https://doi.org/10.1145/167293.167638

Published: 01 December 1992 Publication History

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References

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Zhang JYu YTang SWu JLi W(2023)Variational Autoencoder with CCA for Audio–Visual Cross-modal RetrievalACM Transactions on Multimedia Computing, Communications, and Applications10.1145/357565819:3s(1-21)Online publication date: 24-Feb-2023
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The spatial correlation function approach to response surface estimation

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WSC '92: Proceedings of the 24th conference on Winter simulation

December 1992

1410 pages

ISBN:0780307984

DOI:10.1145/167293

Chairman:
Robert C. Crain
Wolverine Software Corporation, Annandale, VA

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 01 December 1992

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WSC90

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IIE
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ORSA
SCS
TIMS
SIGSIM
IEEE-CS
NIST

WSC90: 1990 Winter Simulation Conference

December 13 - 16, 1992

Virginia, Arlington, USA

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Cited By

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Zhang JYu YTang SWu JLi W(2023)Variational Autoencoder with CCA for Audio–Visual Cross-modal RetrievalACM Transactions on Multimedia Computing, Communications, and Applications10.1145/357565819:3s(1-21)Online publication date: 24-Feb-2023
https://dl.acm.org/doi/10.1145/3575658
Zhang JWu HChen QHachiya H(2023)Multi‐feature subspace representation network for person re‐identification via bird's‐eye view imageComputer Animation and Virtual Worlds10.1002/cav.214534:6Online publication date: 19-Feb-2023
https://doi.org/10.1002/cav.2145
Lu XRudi ABorgonovo ERosasco L(2020)Faster KrigingOperations Research10.1287/opre.2019.186068:1(233-249)Online publication date: 1-Jan-2020
https://dl.acm.org/doi/10.1287/opre.2019.1860
Salemi PStaum JNelson B(2019)Generalized Integrated Brownian Fields for Simulation MetamodelingOperations Research10.1287/opre.2018.180467:3(874-891)Online publication date: 1-May-2019
https://dl.acm.org/doi/10.1287/opre.2018.1804
Barton RNakayama MSchruben L(2017)History of improving statistical efficiencyProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242193(1-23)Online publication date: 3-Dec-2017
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Fu MHenderson S(2017)History of seeking better solutions, aka simulation optimizationProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242192(1-27)Online publication date: 3-Dec-2017
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Barton RNakayama MSchruben L(2017)History of improving statistical efficiency2017 Winter Simulation Conference (WSC)10.1109/WSC.2017.8247788(158-180)Online publication date: Dec-2017
https://doi.org/10.1109/WSC.2017.8247788
Fu MHenderson S(2017)History of seeking better solutions, AKA simulation optimization2017 Winter Simulation Conference (WSC)10.1109/WSC.2017.8247787(131-157)Online publication date: Dec-2017
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Song CSong WYang X(2017)Gradient-Enhanced Hierarchical Kriging Model for Aerodynamic Design OptimizationJournal of Aerospace Engineering10.1061/(ASCE)AS.1943-5525.000077030:6Online publication date: Nov-2017
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Kleijnen J(2017)Design and Analysis of Simulation Experiments: TutorialAdvances in Modeling and Simulation10.1007/978-3-319-64182-9_8(135-158)Online publication date: 29-Aug-2017
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