Manifold Learning (Record no. 81349)

MARC details
000 -LEADER
fixed length control field 03438namaa2200469uu 4500
001 - CONTROL NUMBER
control field doab135558
003 - CONTROL NUMBER IDENTIFIER
control field oapen
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260218110447.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
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007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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fixed length control field 240314s2024 xx |||||o ||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 978-3-031-52764-7
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031527630
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031527647
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-3-031-52764-7
Source of number or code doi
040 ## - CATALOGING SOURCE
Original cataloging agency oapen
Transcribing agency oapen
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041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
042 ## - AUTHENTICATION CODE
Authentication code dc
245 00 - TITLE STATEMENT
Title Manifold Learning
Remainder of title Model Reduction in Engineering
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Cham
Name of publisher, distributor, etc. Springer Nature
Date of publication, distribution, etc. 2024
300 ## - PHYSICAL DESCRIPTION
Extent 1 online resource (107 p.)
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term computer
Media type code c
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term online resource
Carrier type code cr
Source rdacarrier
490 1# - SERIES STATEMENT
Series statement SpringerBriefs in Computer Science
506 0# - RESTRICTIONS ON ACCESS NOTE
Standardized terminology for access restriction Unrestricted online access
Source of term star
520 ## - SUMMARY, ETC.
Summary, etc. This Open Access book reviews recent theoretical and numerical developments in nonlinear model order reduction in continuum mechanics, being addressed to Master and PhD students, as well as to researchers, lecturers and instructors. The aim of the authors is to provide tools for a better understanding and implement reduced order models by using: physics-based models, synthetic data forecast by these models, experimental data and deep learning algorithms. The book involves a survey of key methods of model order reduction applied to model-based engineering and digital twining, by learning linear or nonlinear latent spaces. Projection-based reduced order models are the projection of mechanical equations on a latent space that have been learnt from both synthetic data and experimental data. Various descriptions and representations of structured data for model reduction are presented in the applications and survey chapters. Image-based digital twins are developed in a reduced setting. Reduced order models of as-manufactured components predict the mechanical effects of shape variations. A similar workflow is extended to multiphysics or coupled problems, with high dimensional input fields. Practical techniques are proposed for data augmentation and also for hyper-reduction, which is a key point to speed up projection-based model order reduction of finite element models. The book gives access to python libraries available on gitlab.com, which have been developed as part of the research program [FUI-25] MORDICUS funded by the French government. Similarly to deep learning for computer vision, deep learning for model order reduction circumvents the need to design parametric problems prior reducing models. Such an approach is highly relevant for image-base modelling or multiphysics modelling.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
-- by/4.0/
-- cc
Uniform Resource Identifier <a href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</a>
546 ## - LANGUAGE NOTE
Language note English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Engineering thermodynamics
Source of heading or term bicssc
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning
Source of heading or term bicssc
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematical and statistical software
Source of heading or term bicssc
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Mathematical physics
Source of heading or term bicssc
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Probability and statistics
Source of heading or term bicssc
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Production and industrial engineering
Source of heading or term bicssc
720 1# - ADDED ENTRY--UNCONTROLLED NAME
Name Ryckelynck, David
Relator code aut
720 1# - ADDED ENTRY--UNCONTROLLED NAME
Name Akkari, Nissrine
Relator code aut
720 1# - ADDED ENTRY--UNCONTROLLED NAME
Name Casenave, Fabien
Relator code aut
793 0# -
-- DOAB Library.
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://docs.google.com/spreadsheets/d/1yKIrdCPDAG_9c22mwoOIO2DOhtj65Wqa/edit?usp=sharing&ouid=106555315294820607512&rtpof=true&sd=true ">https://docs.google.com/spreadsheets/d/1yKIrdCPDAG_9c22mwoOIO2DOhtj65Wqa/edit?usp=sharing&ouid=106555315294820607512&rtpof=true&sd=true </a>
Link text List of Curated E-Books
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type E-Book
Holdings
Withdrawn status Damaged status Not for loan Home library Current library Date acquired Total Checkouts Date last seen Price effective from Koha item type
      Directory of Open Access Books Directory of Open Access Books 12/09/2024   12/09/2024 12/09/2024 E-Book

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