Optimality criteria for probabilistic numerical methods
Optimality criteria for probabilistic numerical methods
Oates, Chris J.
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Cockayne, Jonathan
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Prangle, Dennis
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Sullivan, T.J.
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Girolami, Mark
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8 June 2020
Oates, Chris J.
3af13c56-dc47-4d2c-867f-e4e933e74619
Cockayne, Jonathan
da87c8b2-fafb-4856-938d-50be8f0e4a5b
Prangle, Dennis
febb1efe-0939-4555-9a8b-f21c9a7a1f55
Sullivan, T.J.
1ef5be06-ad9c-44df-afdd-7b2294eb1e6b
Girolami, Mark
4feb7248-7beb-4edc-8509-139b4049d23b
Oates, Chris J., Cockayne, Jonathan, Prangle, Dennis, Sullivan, T.J. and Girolami, Mark
(2020)
Optimality criteria for probabilistic numerical methods.
In,
Hickernell, Fred J. and Kritzer, Peter
(eds.)
Multivariate Algorithms and Information-Based Complexity.
(Radon Series on Computational and Applied Mathematics, 27)
De Gruyter.
(doi:10.1515/9783110635461-005).
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Published date: 8 June 2020
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Local EPrints ID: 451591
URI: http://eprints.soton.ac.uk/id/eprint/451591
PURE UUID: 4c129a62-44d7-44d5-8a9b-ea8d7ceff902
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Date deposited: 12 Oct 2021 16:34
Last modified: 17 Mar 2024 04:08
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Contributors
Author:
Chris J. Oates
Author:
Dennis Prangle
Author:
T.J. Sullivan
Author:
Mark Girolami
Editor:
Fred J. Hickernell
Editor:
Peter Kritzer
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