Data Driven Analysis and Modeling of Turbulent Flows : (Record no. 13004)

000 -LEADER
fixed length control field 02254cam a22003138i 4500
001 - CONTROL NUMBER
control field 24020035
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260730150345.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250205s2025 enk b 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2024054711
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780323950435
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Description conventions rda
Transcribing agency DLC
Modifying agency DLC
042 ## - AUTHENTICATION CODE
Authentication code pcc
050 00 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TA357 .D38 2025
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 629.132/32
Edition number 23/eng/20250213
245 10 - TITLE STATEMENT
Title Data Driven Analysis and Modeling of Turbulent Flows :
Remainder of title Data Driven Analysis and Modeling of Turbulent Flows
Statement of responsibility, etc. Karthik Duraisamy (Editor)
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. Academic Press
263 ## - PROJECTED PUBLICATION DATE
Projected publication date 2025
300 ## - PHYSICAL DESCRIPTION
Extent 414 Pages.
336 ## - CONTENT TYPE
Content type term text
Content type code txt
Source rdacontent
337 ## - MEDIA TYPE
Media type term unmediated
Media type code n
Source rdamedia
338 ## - CARRIER TYPE
Carrier type term volume
Carrier type code nc
Source rdacarrier
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc. Data-driven Analysis and Modeling of Turbulent Flows provides an integrated treatment of modern data-driven methods to describe, control, and predict turbulent flows through the lens of both physics and data science.<br/><br/>The book is organized into three parts:<br/>Exploration of techniques for discovering coherent structures within turbulent flows, introducing advanced decomposition methods<br/>Methods for estimation and control using data assimilation and machine learning approaches<br/>Finally, novel modeling techniques that combine physical insights with machine learning<br/>This book is intended for students, researchers, and practitioners in fluid mechanics, though readers from related fields such as applied mathematics, computational science, and machine learning will find it also of interest.<br/>Exploration of techniques for discovering coherent structures within turbulent flows, introducing advanced decomposition methods<br/>Methods for estimation and control using data assimilation and machine learning approaches<br/>Finally, novel modeling techniques that combine physical insights with machine learning
Assigning source Provided by publisher.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Turbulence
General subdivision Mathematical models.
Source of heading or term Data Driven Analysis and Modeling of Turbulent Flows
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Turbulence
General subdivision Statistical methods.
Source of heading or term Data Driven Analysis and Modeling of Turbulent Flows
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
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942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
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 Full call number Barcode Date last seen Price effective from Koha item type
          Female Library Female Library 07/30/2026   TA357 .D38 2025 51952000270744 07/30/2026 07/30/2026 Books
          Main Library Main Library 07/30/2026   TA357 .D38 2025 51952000270751 07/30/2026 07/30/2026 Books