Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Merlin Keller"'
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7916 (2024)
This paper introduces an evolutionary algorithm for objective functions defined over clouds of points of varying sizes. Such design variables are modeled as uniform discrete measures with finite support and the crossover and mutation operators of the
Externí odkaz:
https://doaj.org/article/3fcf466d2b0a4cf9be9de5137066041c
Autor:
Merlin Keller, Guillaume Damblin, Alberto Pasanisi, Mathieu Schumann, Pierre Barbillon, Fabrizio Ruggeri, Eric Parent
Publikováno v:
Econometrics, Vol 10, Iss 4, p 34 (2022)
In this paper, we present a case study aimed at determining a billing plan that ensures customer loyalty and provides a profit for the energy company, whose point of view is taken in the paper. The energy provider promotes new contracts for residenti
Externí odkaz:
https://doaj.org/article/b8ae251bcd3d44e48138d216437981d2
We propose a methodology to assist in the selection or definition of weights for components of seismic hazard models, which are combinations of seismic source models and ground motion models, in the context of probabilistic seismic hazard assessment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92dde002158956406f34beece1ccf1d2
https://doi.org/10.5194/egusphere-egu23-7745
https://doi.org/10.5194/egusphere-egu23-7745
Autor:
Merlin Keller
Publikováno v:
Wiley StatsRef: Statistics Reference Online. :1-6
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef86afb3affd459990f85fc5fee4fdc2
https://doi.org/10.1002/9781118445112.stat08029
https://doi.org/10.1002/9781118445112.stat08029
In recent decades, prediction of ground motion at a specific site or a region is of primary interest in probabilistic seismic hazard assessment (PSHA). Historically, several ground motion prediction equation (GMPE) models with different functional fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59bf7d9ad42288f2cd87b91d1fd00f42
https://doi.org/10.21203/rs.3.rs-481786/v1
https://doi.org/10.21203/rs.3.rs-481786/v1
In current practice, the seismic hazard curves are generated by combining all possible choices for seismotectonic model (SM), earthquake magnitude recurrence models, and ground motion prediction equation (GMPE) models using logic trees. However, stud
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8e2870fe984f390afc9f17ca02706e8a
https://doi.org/10.21203/rs.3.rs-378051/v1
https://doi.org/10.21203/rs.3.rs-378051/v1
Publikováno v:
SIAM/ASA Journal on Uncertainty Quantification
SIAM/ASA Journal on Uncertainty Quantification, ASA, American Statistical Association, 2018, 6 (1), pp.151-179. ⟨10.1137/15M1033162⟩
SIAM/ASA Journal on Uncertainty Quantification, ASA, American Statistical Association, 2018, 6 (1), pp.151-179. ⟨10.1137/15M1033162⟩
AMS subject classifications. 62K99, 62L05, 60G15; Making good predictions of a physical system using a computer code requires the inputs to be carefully specified. Some of these inputs, called control variables, reproduce physical conditions, whereas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be8d6b70e48a06b913eb5991b75fb5b0
https://doi.org/10.1137/15m1033162
https://doi.org/10.1137/15m1033162
Publikováno v:
SIAM Journal on Optimization
SIAM Journal on Optimization, Society for Industrial and Applied Mathematics, 2021, 31 (1), pp.425-447. ⟨10.1137/19M1275322⟩
SIAM Journal on Optimization, 2021, 31 (1), pp.425-447. ⟨10.1137/19M1275322⟩
SIAM Journal on Optimization, Society for Industrial and Applied Mathematics, 2021, 31 (1), pp.425-447. ⟨10.1137/19M1275322⟩
SIAM Journal on Optimization, 2021, 31 (1), pp.425-447. ⟨10.1137/19M1275322⟩
International audience; We consider a generalization of the Bauer maximum principle. We work with tensorial products of convex measures sets, that are non necessarily compact but generated by their extreme points. We show that the maximum of a quasi-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9e5c6f8e4c0e99e3dbcaf059720a4aed
https://hal.archives-ouvertes.fr/hal-02183606/file/SIOPT.pdf
https://hal.archives-ouvertes.fr/hal-02183606/file/SIOPT.pdf
Publikováno v:
International Journal of Uncertainty Quantification
International Journal of Uncertainty Quantification, 2020, 10, pp.35-53
International Journal of Uncertainty Quantification, 2020, 10, pp.35-53
We study an industrial computer code related to nuclear safety. A major topic of interest is to assess the uncertainties tainting the results of a computer simulation. In this work we gain robustness on the quantification of a risk measurement by acc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2f1b0190561525d916cfc171623c893
http://arxiv.org/abs/1901.07903
http://arxiv.org/abs/1901.07903
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030269791
GSI
GSI
The purpose of this work is to optimize an affine functional over positive measures. More precisely, we deal with a probability of failure (p.o.f). The optimization is realized over a set of distributions satisfying moment constraints, called moment
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f764377950ec0cbb0f6cec033e7d9290
https://doi.org/10.1007/978-3-030-26980-7_59
https://doi.org/10.1007/978-3-030-26980-7_59