Artículos relacionados a Data Analysis for Direct Numerical Simulations of Turbulent...
Data Analysis for Direct Numerical Simulations of Turbulent Combustion: From Equation-Based Analysis to Machine Learning - Tapa dura
Sinopsis
This book presents methodologies for analysing large data sets produced by the direct numerical simulation (DNS) of turbulence and combustion. It describes the development of models that can be used to analyse large eddy simulations, and highlights both the most common techniques and newly emerging ones.
The chapters, written by internationally respected experts, invite readers to consider DNS of turbulence and combustion from a formal, data-driven standpoint, rather than one led by experience and intuition. This perspective allows readers to recognise the shortcomings of existing models, with the ultimate goal of quantifying and reducing model-based uncertainty. In addition, recent advances in machine learning and statistical inferences offer new insights on the interpretation of DNS data.
"Sinopsis" puede pertenecer a otra edición de este libro.
Acerca del autor
Professor Heinz Pitsch received his PhD from the RWTH Aachen University in 1998, where he is now a Full Professor and director of the Institute for Combustion Technology. He has received numerous honours and awards, including an ERC Advanced Grant, and Fellow Awards of the American Physical Society and the International Combustion Institute. He has served on the board of directors of the International Combustion Institute since 2014 and has been the chair of the German section of the Institute since 2017. Professor Pitsch has over 200 ISI-listed, peer-reviewed journal publications to his credit.
Dr. Antonio Attili received his PhD from Sapienza University of Rome in 2009 and he is now Lecturer in Computational Reactive Flows in the School of Engineering at the University of Edinburgh, United Kingdom. Before, he was a Research Scientist at the Institute for Combustion Technology, RWTH Aachen University, and at KAUST, Saudi Arabia. He co-chaired and organized several workshops, including the Combustion-DNS Strategy & Data Analysis Workshop. Dr Attili has received several fellowship, including a European Space Agency and AVIO Groups Graduate Research Fellowship in 2007. He has authored and co-authored over 50 research papers published in journals and conference proceedings.De la contraportada
This book presents methodologies for analysing large data sets produced by the direct numerical simulation (DNS) of turbulence and combustion. It describes the development of models that can be used to analyse large eddy simulations, and highlights both the most common techniques and newly emerging ones.
The chapters, written by internationally respected experts, invite readers to consider DNS of turbulence and combustion from a formal, data-driven standpoint, rather than one led by experience and intuition. This perspective allows readers to recognise the shortcomings of existing models, with the ultimate goal of quantifying and reducing model-based uncertainty. In addition, recent advances in machine learning and statistical inferences offer new insights on the interpretation of DNS data.
"Sobre este título" puede pertenecer a otra edición de este libro.
Comprar nuevo
Ver este artículo
EUR 193,55
EUR 5,14 gastos de envío desde Reino Unido a España
Destinos, gastos y plazos de envíoOtras ediciones populares con el mismo título
Resultados de la búsqueda para Data Analysis for Direct Numerical Simulations of Turbulent...
Imagen de archivo
Data Analysis for Direct Numerical Simulations of Turbulent Combustion: From Equation-Based Analysis to Machine Learning
Librería: Ria Christie Collections, Uxbridge, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. In. Nº de ref. del artículo: ria9783030447175_new
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Data Analysis for Direct Numerical Simulations of Turbulent Combustion
Publicado por
Springer International Publishing, 2020
ISBN 10: 3030447170
ISBN 13: 9783030447175
Nuevo
Tapa dura
Librería: moluna, Greven, Alemania
Calificación del vendedor: 4 de 5 estrellas
Gebunden. Condición: New. Nº de ref. del artículo: 448682357
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Data Analysis for Direct Numerical Simulations of Turbulent Combustion
Publicado por
Springer International Publishing Mai 2020, 2020
ISBN 10: 3030447170
ISBN 13: 9783030447175
Nuevo
Tapa dura
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book presents methodologies for analysing large data sets produced by the direct numerical simulation (DNS) of turbulence and combustion. It describes the development of models that can be used to analyse large eddy simulations, and highlights both the most common techniques and newly emerging ones. The chapters, written by internationally respected experts, invite readers to consider DNS of turbulence and combustion from a formal, data-driven standpoint, rather than one led by experience and intuition. This perspective allows readers to recognise the shortcomings of existing models, with the ultimate goal of quantifying and reducing model-based uncertainty. In addition, recent advances in machine learning and statistical inferences offer new insights on the interpretation of DNS data.The book will especially benefit graduate-level students and researchers in mechanical and aerospace engineering, e.g. those with an interest in general fluid mechanics,applied mathematics, and the environmental and atmospheric sciences. 304 pp. Englisch. Nº de ref. del artículo: 9783030447175
Cantidad disponible: 2 disponibles
Imagen del vendedor
Data Analysis for Direct Numerical Simulations of Turbulent Combustion : From Equation-Based Analysis to Machine Learning
Publicado por
Springer International Publishing, 2020
ISBN 10: 3030447170
ISBN 13: 9783030447175
Nuevo
Tapa dura
Librería: AHA-BUCH GmbH, Einbeck, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book presents methodologies for analysing large data sets produced by the direct numerical simulation (DNS) of turbulence and combustion. It describes the development of models that can be used to analyse large eddy simulations, and highlights both the most common techniques and newly emerging ones. The chapters, written by internationally respected experts, invite readers to consider DNS of turbulence and combustion from a formal, data-driven standpoint, rather than one led by experience and intuition. This perspective allows readers to recognise the shortcomings of existing models, with the ultimate goal of quantifying and reducing model-based uncertainty. In addition, recent advances in machine learning and statistical inferences offer new insights on the interpretation of DNS data.The book will especially benefit graduate-level students and researchers in mechanical and aerospace engineering, e.g. those with an interest in general fluid mechanics,applied mathematics, and the environmental and atmospheric sciences. Nº de ref. del artículo: 9783030447175
Cantidad disponible: 1 disponibles
Imagen de archivo
Data Analysis for Direct Numerical Simulations of Turbulent Combustion: From Equation-Based Analysis to Machine Learning
Librería: California Books, Miami, FL, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: I-9783030447175
Cantidad disponible: Más de 20 disponibles
Imagen del vendedor
Data Analysis for Direct Numerical Simulations of Turbulent Combustion
Publicado por
Springer International Publishing, Springer International Publishing Mai 2020, 2020
ISBN 10: 3030447170
ISBN 13: 9783030447175
Nuevo
Tapa dura
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Buch. Condición: Neu. Neuware -This book presents methodologies for analysing large data sets produced by the direct numerical simulation (DNS) of turbulence and combustion. It describes the development of models that can be used to analyse large eddy simulations, and highlights both the most common techniques and newly emerging ones.The chapters, written by internationally respected experts, invite readers to consider DNS of turbulence and combustion from a formal, data-driven standpoint, rather than one led by experience and intuition. This perspective allows readers to recognise the shortcomings of existing models, with the ultimate goal of quantifying and reducing model-based uncertainty. In addition, recent advances in machine learning and statistical inferences offer new insights on the interpretation of DNS data.The book will especially benefit graduate-level students and researchers in mechanical and aerospace engineering, e.g. those with an interest in general fluid mechanics,applied mathematics, and the environmental and atmospheric sciences.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 304 pp. Englisch. Nº de ref. del artículo: 9783030447175
Cantidad disponible: 2 disponibles
Imagen de archivo
Data Analysis for Direct Numerical Simulations of Turbulent Combustion: From Equation-Based Analysis to Machine Learning
Librería: Books Puddle, New York, NY, Estados Unidos de America
Calificación del vendedor: 4 de 5 estrellas
Condición: New. Nº de ref. del artículo: 26377426769
Cantidad disponible: 4 disponibles
Imagen de archivo
Data Analysis for Direct Numerical Simulations of Turbulent Combustion: From Equation-Based Analysis to Machine Learning
Impresión bajo demandaLibrería: Majestic Books, Hounslow, Reino Unido
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Print on Demand. Nº de ref. del artículo: 369667214
Cantidad disponible: 4 disponibles
Imagen de archivo
Data Analysis for Direct Numerical Simulations of Turbulent Combustion: From Equation-Based Analysis to Machine Learning
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
Calificación del vendedor: 5 de 5 estrellas
Condición: New. Nº de ref. del artículo: ABLIING23Mar3113020018083
Cantidad disponible: Más de 20 disponibles
Imagen de archivo
Data Analysis for Direct Numerical Simulations of Turbulent Combustion: From Equation-Based Analysis to Machine Learning
Impresión bajo demandaLibrería: Biblios, Frankfurt am main, HESSE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Condición: New. PRINT ON DEMAND. Nº de ref. del artículo: 18377426779
Cantidad disponible: 4 disponibles