Výsledky vyhledávání - "Ute, Kandler"

Validation of data analytics and optimization algorithms within an Intelligent Asset Management System for rail signalling [Validazione di algoritmi di analisi dati e di ottimizzazione nell’ambito di un sistema intelligente di Asset Management per il segnalamento ferroviario]

Autor: Consilvio, Alice, Paolo, Sanetti, Carlo, Crovetto, Federico, Papa, Carlo, Dambra, Noemi Jiménez Redondo, Ute, Kandler

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=od______3710::11eb7e46b84baa57e5561fd82313ca40
https://hdl.handle.net/11567/1023395

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Block Newton Method and Block Rayleigh Quotient Iteration for computing invariant subspaces of general complex matrices

Autor: Hubert Schwetlick, Ute Kandler

Publikováno v: Linear Algebra and its Applications. 526:60-94

We consider the Block Newton Method and a modification of it, the Block Rayleigh Quotient Iteration, for approximating a simple p-dimensional invariant subspace X = im ( X ) and the corresponding eigenvalues collected in the projection L = ( X H X )

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3d2320653a92eead3e19b3e53c632702
https://doi.org/10.1016/j.laa.2017.03.025

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Decision support for tactical planning – A use case of the INFRALERT project

Autor: Ute Kandler, Axel Simroth, João Morgado, Emanuel Duarte

The final objective of the INFRALERT system is to provide Infrastructure Managers/Owners and Maintenance Operators/Contractors with intelligent software tools to support the decision-making process when planning maintenance activities and interventio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::067147f4c1ca31124e9dfc62035d4079

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Improving linear transport infrastructure efficiency by automated learning and optimised predictive maintenance techniques (INFRALERT)

Autor: Adithya Thaduri, Emmanuele Duarte, Francisco J. Morales, João Morgado, Noemi Jiménez-Redondo, Ute Kandler, Antonio Reyes, Axel Simroth, Álvaro Calle-Cordón, Johan Odelius

Publikováno v: IOP Conference Series: Materials Science and Engineering

The on-going H2020 project INFRALERT aims to increase rail and road infrastructure capacity in the current framework of increased transportation demand by developing and deploying solutions to opti ...

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09c0e6a0a5913c0bb489ae30b54e2fea
https://doi.org/10.1088/1757-899x/236/1/012105

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Backward error analysis of an inexact Arnoldi method

Autor: Christian Schröder, Ute Kandler

Publikováno v: PAMM. 13:417-418

We investigate the behavior of Arnoldi's method for Hermitian matrices in the case of inexact vector operations. A special purpose variant of Gram Schmidt orthogonalization is introduced which computes a nearly orthogonal Krylov subspace basis and ad

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4dfe4d73c41e389d4d216461cacacd98
https://doi.org/10.1002/pamm.201310204

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Akademický článek

Improving linear transport infrastructure efficiency by automated learning and optimised predictive maintenance techniques (INFRALERT).

Autor: Noemi Jiménez-Redondo, Alvaro Calle-Cordón, Ute Kandler, Axel Simroth, Francisco J Morales, Antonio Reyes, Johan Odelius, Aditya Thaduri, Joao Morgado, Emmanuele Duarte

Publikováno v: IOP Conference Series: Materials Science & Engineering; Sep2017, Vol. 236 Issue 1, p1-1, 1p

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