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The Court as Archive

Authors: --- ---
ISBN: 9781760462703 Year: Pages: 304 DOI: 10.22459/CA.2019 Language: English
Publisher: ANU Press
Subject: Law --- Medicine (General)
Added to DOAB on : 2019-03-16 11:21:03
License: ANU Press

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Abstract

"Until the late 20th century, ‘an archive’ generally meant a repository for documents, as well as the generic name for the wide range of documents the repository might hold. An archive could be visited, and then also searched, to discover past actions or lives that had meaning for the present. While historians and historiographers have long understood the contests that archives contain and represent, the very idea of ‘the archive’ has, over the last 40 years, become the subject and object of widening and intensified consideration. This consideration has been intellectual (from scholars in a wide range of disciplines) and public (from communities and individuals whose stories are held captive, or sometimes hidden or excluded from official archives), as well as institutional. It has involved scrutiny and critique of official archives’ limitations and practices, as well as symbolic, affective and theoretical expansion and heightened expectation of what ‘the archive’ is or should be. The very language of ‘the archive’ now carries freight as administrative practice, normative value, metaphor, description and aspiration in different ways than it did in the 20th century.
This collection offers a unique contribution to these reinvigorated and sometimes new conversations about what an archive might be, what it can do as a consequence, and to whom it bears custodial responsibilities. In particular, this collection addresses what it means for contemporary Australian superior courts of record to not only have constitutional and procedural duties to documents as a matter of law, but also to acknowledge obligations to care for those materials in a way that understands their public meaning and public value for the Australian people, in the past, in the present and for the future."

Keywords

law --- archive --- Australia

Qu'est-ce qu'une archive du Web?

Authors: --- --- ---
ISBN: 9791036503689 9791036503672 Year: Language: French
Publisher: OpenEdition Press Grant: Knowledge Unlatched - 103224
Subject: Computer Science
Added to DOAB on : 2019-05-17 11:21:53
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La spécificité de l'archivage du Web et de ces archives, l’importance qu’elles devraient prendre à l’avenir pour la recherche, mais aussi les particularités et la diversité de leurs conditions de collecte, préservation, accessibilité et consultation invitent à proposer un ouvrage sur cet enjeu à l’interface des préoccupations du monde des bibliothèques, des archives, des entreprises et des chercheurs.

Machine Learning, Low-Rank Approximations and Reduced Order Modeling in Computational Mechanics

Authors: ---
ISBN: 9783039214099 / 9783039214105 Year: Pages: 254 DOI: 10.3390/books978-3-03921-410-5 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-12-09 11:49:15
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The use of machine learning in mechanics is booming. Algorithms inspired by developments in the field of artificial intelligence today cover increasingly varied fields of application. This book illustrates recent results on coupling machine learning with computational mechanics, particularly for the construction of surrogate models or reduced order models. The articles contained in this compilation were presented at the EUROMECH Colloquium 597, « Reduced Order Modeling in Mechanics of Materials », held in Bad Herrenalb, Germany, from August 28th to August 31th 2018. In this book, Artificial Neural Networks are coupled to physics-based models. The tensor format of simulation data is exploited in surrogate models or for data pruning. Various reduced order models are proposed via machine learning strategies applied to simulation data. Since reduced order models have specific approximation errors, error estimators are also proposed in this book. The proposed numerical examples are very close to engineering problems. The reader would find this book to be a useful reference in identifying progress in machine learning and reduced order modeling for computational mechanics.

Keywords

parameter-dependent model --- surrogate modeling --- tensor-train decomposition --- gappy POD --- heterogeneous data --- elasto-viscoplasticity --- archive --- model reduction --- 3D reconstruction --- inverse problem plasticity --- data science --- model order reduction --- POD --- DEIM --- gappy POD --- GNAT --- ECSW --- empirical cubature --- hyper-reduction --- reduced integration domain --- computational homogenisation --- model order reduction (MOR) --- low-rank approximation --- proper generalised decomposition (PGD) --- PGD compression --- randomised SVD --- nonlinear material behaviour --- machine learning --- artificial neural networks --- computational homogenization --- nonlinear reduced order model --- elastoviscoplastic behavior --- nonlinear structural mechanics --- proper orthogonal decomposition --- empirical cubature method --- error indicator --- symplectic model order reduction --- proper symplectic decomposition (PSD) --- structure preservation of symplecticity --- Hamiltonian system --- reduced order modeling (ROM) --- proper orthogonal decomposition (POD) --- enhanced POD --- a priori enrichment --- modal analysis --- stabilization --- dynamic extrapolation --- computational homogenization --- large strain --- finite deformation --- geometric nonlinearity --- reduced basis --- reduced-order model --- sampling --- Hencky strain --- microstructure property linkage --- unsupervised machine learning --- supervised machine learning --- neural network --- snapshot proper orthogonal decomposition

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