Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Frappier, Mathieu"'
Publikováno v:
In EURO Journal on Computational Optimization December 2019 7(4):359-380
Publikováno v:
[Research Report] Inria Paris; Université de Sherbrooke (Québec, Canada). 2023, pp.43
The semismooth Newton method is a very efficient approach for computing a zero of a large class of nonsmooth equations. When the initial iterate is sufficiently close to a regular zero and the function is strongly semismooth, the generated sequence c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______165::bdc1327a43a8da989f3a0dff0d6a0a25
https://hal.science/hal-04097624/document
https://hal.science/hal-04097624/document
Publikováno v:
[Research Report] Inria Paris; Université de Sherbrooke (Québec, Canada). 2023, pp.32
[Research Report] Inria Paris; Université de Sherbrooke (Québec, Canada). 2019
[Research Report] Inria Paris; Université de Sherbrooke (Québec, Canada). 2019
The semismooth Newton method is a very efficient approach for computing a zero of a large class of nonsmooth equations. When the initial iterate is sufficiently close to a regular zero and the function is strongly semismooth, the generated sequence c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::a1b2f9ad959ada558e4eab582c58a2cb
https://hal.science/hal-02306526
https://hal.science/hal-02306526
Publikováno v:
[Research Report] Inria Paris; Université de Sherbrooke (Québec, Canada). 2019
The semismooth Newton method is a very efficient approach for computing a zero of a large class of nonsmooth equations. When the initial iterate is sufficiently close to a regular zero and the function is strongly semismooth, the generated sequence c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______212::a1b2f9ad959ada558e4eab582c58a2cb
https://hal.archives-ouvertes.fr/hal-02306526
https://hal.archives-ouvertes.fr/hal-02306526
Publikováno v:
[Research Report] INRIA Paris. 2018, pp.19
The plain Newton-min algorithm can be viewed as an instance of the plain semismooth Newton method on the equational version min(x,Mx+q) = 0 of the linear complementarity problem (LCP) $"0 ≤ x ⊥ (Mx+q) ≥ 0"$. This algorithm converges, whatever i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::03c54adac976c4e6d7c8d48eb9c4fcd3
https://hal.inria.fr/hal-01806399
https://hal.inria.fr/hal-01806399
Autor:
McGuinness, Kevin, Aly, Robin, Chen, Shu, Frappier, Mathieu, Kleppe, Martijn, Lee, Hyowon, Ordelman, Roeland J.F., Arandjelovic, Relja
Publikováno v:
TREC 2011 Video Retrieval Evaluation Online Proceedings (TRECVid 2011)
The AXES project participated in the interactive known-item search task (KIS) and the interactive instance search task (INS) for TRECVid 2011. We used the same system architecture and a nearly identical user interface for both the KIS and INS tasks.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=narcis______::3cd160d56ecc654260c30e6299dbc649
https://research.utwente.nl/en/publications/30a83213-7ac2-4b08-901e-af8afd8cfa5d
https://research.utwente.nl/en/publications/30a83213-7ac2-4b08-901e-af8afd8cfa5d
Autor:
Aroutcheva, Alla, Auclair, Julie, Frappier, Martin, Millette, Mathieu, Lolans, Karen, Montigny, Danielle, Carrière, Serge, Sokalski, Stephen, Trick, William, Weinstein, Robert
Publikováno v:
Probiotics & Antimicrobial Proteins; Mar2016, Vol. 8 Issue 1, p31-40, 10p