Transport barriers and coherent structures in flow data : advective, diffusive, stochastic and active methods / George Haller ; prepared for publication with the assistance of Alex P. Encinas-Bartos.
By: Haller, George [author.]
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Material type: 
BookPublisher: Cambridge : Cambridge University Press, 2023Description: 1 online resource (xvi, 410 pages) : illustrations (black and white, and colour), digital, PDF file(s).Content type: text | still image Media type: computer Carrier type: online resourceISBN: 9781009225199.Subject(s): Fluid dynamics -- Mathematical modelsAdditional physical formats: Print version :: No titleDDC classification: 620.1064 Online resources: Click here to access online Summary: Transport barriers are observed inhibitors of the spread of substances in flows. The collection of such barriers offers a powerful geometric template that frames the main pathways, or lack thereof, in any transport process. This book surveys effective and mathematically grounded methods for defining, locating and leveraging transport barriers in numerical simulations, laboratory experiments, technological processes and nature. It provides a unified treatment of material developed over the past two decades, focusing on the methods that have a solid foundation and broad applicability to data sets beyond simple model flows. The intended audience ranges from advanced undergraduates to researchers in the areas of turbulence, geophysical flows, aerodynamics, chemical engineering, environmental engineering, flow visualization, computational mathematics and dynamical systems.
Also issued in print: 2023.
Includes bibliographical references and index.
Transport barriers are observed inhibitors of the spread of substances in flows. The collection of such barriers offers a powerful geometric template that frames the main pathways, or lack thereof, in any transport process. This book surveys effective and mathematically grounded methods for defining, locating and leveraging transport barriers in numerical simulations, laboratory experiments, technological processes and nature. It provides a unified treatment of material developed over the past two decades, focusing on the methods that have a solid foundation and broad applicability to data sets beyond simple model flows. The intended audience ranges from advanced undergraduates to researchers in the areas of turbulence, geophysical flows, aerodynamics, chemical engineering, environmental engineering, flow visualization, computational mathematics and dynamical systems.
Specialized.
Description based on online resource; title from PDF title page (viewed on March 2, 2023).
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