Data driven fluid mechanics: (Record no. 23067)

MARC details
000 -LEADER
fixed length control field 00862nam a22001577a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240314103509.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240314b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781108842143
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Mendez, Miguel A.
245 ## - TITLE STATEMENT
Title Data driven fluid mechanics:
Remainder of title Combining first principles and machine learning
Statement of responsibility, etc. Miguel A. Mendez, Andrea Ianiro, Bernd R. Noack and Steven L. Brunton
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. United Kingdom:
Name of publisher, distributor, etc. Cambridge University Press,
Date of publication, distribution, etc. 2023.
300 ## - Physical Description
Pages: xviii,448p.
500 ## - GENERAL NOTE
General note Big data and machine learning are driving profound technological progress across nearly every industry, and are rapidly shaping fluid mechanics research. This is a self-contained and pedagogical treatment of the data-driven tools that are leading research in model-order reduction, system identification, flow control, and turbulence closures.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Accession No. Date last seen Price effective from Koha item type
    Dewey Decimal Classification   Available TIFR CAM Library TIFR CAM Library 12/03/2024   M12252 29/04/2024 14/03/2024 Books

Powered by Koha