Screen LibraryTurbulence, coherent structures, dynamical systems and symmetry
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| Group Author: | |
|---|---|
| Published: |
Cambridge University Press,
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| Publisher Address: | Cambridge, UK New York |
| Publication Dates: | 2012. |
| Literature type: | Book |
| Language: | English |
| Edition: | 2nd ed. |
| Series: |
Cambridge monographs on mechanics |
| Subjects: | |
| Item Description: | Turbulence, coherent structures, dynamical systems, and symmetry. |
| Carrier Form: | xvi, 386 p.: ill. ; 26 cm. |
| ISBN: |
9781107008250 (hardback) 1107008255 (hardback) |
| Index Number: | O193 |
| CLC: |
O193 O357.5 |
| Call Number: | O357.5/H752/2nd.ed. |
| Contents: |
Rev. ed. of: Turbulence, coherent structures, dynamical systems, and symmetry / Philip Holmes, John L. Lumley, and Gal Berkooz. Includes bibliographical references and index. "This book describes methods that reveal its structures and dynamics. Building on the existence of coherent structures - recurrent patterns - in turbulent flows, it describes mathematical methods that reduce the governing (Navier-Stokes) equations to simpler forms that can be understood more easily. This second edition contains a new chapter on the balanced proper orthogonal decomposition: a method derived from control theory that is especially useful for flows equipped with sensors and actuators. It also reviews relevant work carried out since 1995"-- "Turbulence pervades our world, from weather patterns to the air entering our lungs. This book describes methods that reveal its structures and dynamics. Building on the existence of coherent structures - recurrent patterns - in turbulent flows, it describes mathematical methods that reduce the governing (Navier-Stokes) equations to simpler forms that can be understood more easily. This second edition contains a new chapter on the balanced proper orthogonal decomposition: a method derived from control theory that is especially useful for flows equipped with sensors and actuators. It also reviews relevant work carried out since 1995. The book is ideal for engineering, physical science and mathematics researchers working in fluid dynamics and other areas in which coherent patterns emerge"-- |