Higher Order Dynamic Mode Decomposition and Its Applications

Higher Order Dynamic Mode Decomposition and Its Applications
Author: Jose Manuel Vega,Soledad Le Clainche
Publsiher: Academic Press
Total Pages: 320
Release: 2020-10-14
ISBN 10: 0128197439
ISBN 13: 9780128197431
Language: EN, FR, DE, ES & NL

Higher Order Dynamic Mode Decomposition and Its Applications Book Review:

Higher Order Dynamic Mode Decomposition and Its Applications provides detailed background theory, as well as several fully explained applications from a range of industrial contexts to help readers understand and use this innovative algorithm. Data-driven modelling of complex systems is a rapidly evolving field, which has applications in domains including engineering, medical, biological, and physical sciences, where it is providing ground-breaking insights into complex systems that exhibit rich multi-scale phenomena in both time and space. Starting with an introductory summary of established order reduction techniques like POD, DEIM, Koopman, and DMD, this book proceeds to provide a detailed explanation of higher order DMD, and to explain its advantages over other methods. Technical details of how the HODMD can be applied to a range of industrial problems will help the reader decide how to use the method in the most appropriate way, along with example MATLAB codes and advice on how to analyse and present results. Includes instructions for the implementation of the HODMD, MATLAB codes, and extended discussions of the algorithm Includes descriptions of other order reduction techniques, and compares their strengths and weaknesses Provides examples of applications involving complex flow fields, in contexts including aerospace engineering, geophysical flows, and wind turbine design

Higher Order Dynamic Mode Decomposition and Its Applications

Higher Order Dynamic Mode Decomposition and Its Applications
Author: Jose Manuel Vega,Soledad Le Clainche
Publsiher: Academic Press
Total Pages: 320
Release: 2020-09-30
ISBN 10: 0128227664
ISBN 13: 9780128227664
Language: EN, FR, DE, ES & NL

Higher Order Dynamic Mode Decomposition and Its Applications Book Review:

Higher Order Dynamic Mode Decomposition and Its Applications provides detailed background theory, as well as several fully explained applications from a range of industrial contexts to help readers understand and use this innovative algorithm. Data-driven modelling of complex systems is a rapidly evolving field, which has applications in domains including engineering, medical, biological, and physical sciences, where it is providing ground-breaking insights into complex systems that exhibit rich multi-scale phenomena in both time and space. Starting with an introductory summary of established order reduction techniques like POD, DEIM, Koopman, and DMD, this book proceeds to provide a detailed explanation of higher order DMD, and to explain its advantages over other methods. Technical details of how the HODMD can be applied to a range of industrial problems will help the reader decide how to use the method in the most appropriate way, along with example MATLAB codes and advice on how to analyse and present results. Includes instructions for the implementation of the HODMD, MATLAB codes, and extended discussions of the algorithm Includes descriptions of other order reduction techniques, and compares their strengths and weaknesses Provides examples of applications involving complex flow fields, in contexts including aerospace engineering, geophysical flows, and wind turbine design

Dynamic Mode Decomposition

Dynamic Mode Decomposition
Author: J. Nathan Kutz,Steven L. Brunton,Bingni W. Brunton,Joshua L. Proctor
Publsiher: SIAM
Total Pages: 234
Release: 2016-11-23
ISBN 10: 1611974496
ISBN 13: 9781611974492
Language: EN, FR, DE, ES & NL

Dynamic Mode Decomposition Book Review:

Data-driven dynamical systems is a burgeoning field?it connects how measurements of nonlinear dynamical systems and/or complex systems can be used with well-established methods in dynamical systems theory. This is a critically important new direction because the governing equations of many problems under consideration by practitioners in various scientific fields are not typically known. Thus, using data alone to help derive, in an optimal sense, the best dynamical system representation of a given application allows for important new insights. The recently developed dynamic mode decomposition (DMD) is an innovative tool for integrating data with dynamical systems theory. The DMD has deep connections with traditional dynamical systems theory and many recent innovations in compressed sensing and machine learning. Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems, the first book to address the DMD algorithm, presents a pedagogical and comprehensive approach to all aspects of DMD currently developed or under development; blends theoretical development, example codes, and applications to showcase the theory and its many innovations and uses; highlights the numerous innovations around the DMD algorithm and demonstrates its efficacy using example problems from engineering and the physical and biological sciences; and provides extensive MATLAB code, data for intuitive examples of key methods, and graphical presentations.

Shallow Flows

Shallow Flows
Author: Gerhard H. Jirka,Wim S.J. Uijttewaal
Publsiher: Taylor & Francis
Total Pages: 684
Release: 2004-09-15
ISBN 10: 1135288429
ISBN 13: 9781135288426
Language: EN, FR, DE, ES & NL

Shallow Flows Book Review:

This text presents the key findings of the International Symposium held in Delft in 2003, which explored the process of shallow flows. Shallow flows are found in lowland rivers, lakes, estuaries, bays, coastal areas and in density-stratified atmospheres, and may be observed in puddles, as in oceans. They impact on the life and work of a wide variety of readers, who are here provided with a clear overview of the subject. Shallow flows are intrinsically turbulent. On one hand, there are strongly three-dimensional, small-scale turbulent motions and on the other hand, large-scale quasi-two-dimensional turbulence. This book explains and examines these differences and their effects with sections on transport processes in shallow flows; shallow jets, wakes and mixing layers; stratified and rotating flows in ocean and atmosphere; river and channel flows; and numerical modelling and turbulence closure techniques. The reader is provided with the pick of current studies and a fresh approach to the subject, with expert examination of a fascinating and crucial phenomenon of our world's water systems.

14th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2019

14th International Conference on Soft Computing Models in Industrial and Environmental Applications  SOCO 2019
Author: Francisco Martínez Álvarez,Alicia Troncoso Lora,José António Sáez Muñoz,Héctor Quintián,Emilio Corchado
Publsiher: Springer
Total Pages: 609
Release: 2019-04-30
ISBN 10: 3030200558
ISBN 13: 9783030200558
Language: EN, FR, DE, ES & NL

14th International Conference on Soft Computing Models in Industrial and Environmental Applications SOCO 2019 Book Review:

This book includes 57 papers presented at the SOCO 2019 conference held in the historic city of Seville (Spain), in May 2019. Soft computing represents a set of computational techniques in machine learning, computer science and various engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. The selection of papers was extremely rigorous in order to maintain the high quality of the conference, which featured a number of special sessions, including sessions on: Soft Computing Methods in Manufacturing and Management Systems; Soft Computing Applications in the Field of Industrial and Environmental Enterprises; Optimization, Modeling and Control by Soft Computing Techniques; and Soft Computing in Aerospace, Mechanical and Civil Engineering: New methods and Industrial Applications.

The Koopman Operator in Systems and Control

The Koopman Operator in Systems and Control
Author: Alexandre Mauroy,Igor Mezić,Yoshihiko Susuki
Publsiher: Springer Nature
Total Pages: 556
Release: 2020-02-22
ISBN 10: 3030357139
ISBN 13: 9783030357139
Language: EN, FR, DE, ES & NL

The Koopman Operator in Systems and Control Book Review:

This book provides a broad overview of state-of-the-art research at the intersection of the Koopman operator theory and control theory. It also reviews novel theoretical results obtained and efficient numerical methods developed within the framework of Koopman operator theory. The contributions discuss the latest findings and techniques in several areas of control theory, including model predictive control, optimal control, observer design, systems identification and structural analysis of controlled systems, addressing both theoretical and numerical aspects and presenting open research directions, as well as detailed numerical schemes and data-driven methods. Each contribution addresses a specific problem. After a brief introduction of the Koopman operator framework, including basic notions and definitions, the book explores numerical methods, such as the dynamic mode decomposition (DMD) algorithm and Arnoldi-based methods, which are used to represent the operator in a finite-dimensional basis and to compute its spectral properties from data. The main body of the book is divided into three parts: theoretical results and numerical techniques for observer design, synthesis analysis, stability analysis, parameter estimation, and identification; data-driven techniques based on DMD, which extract the spectral properties of the Koopman operator from data for the structural analysis of controlled systems; and Koopman operator techniques with specific applications in systems and control, which range from heat transfer analysis to robot control. A useful reference resource on the Koopman operator theory for control theorists and practitioners, the book is also of interest to graduate students, researchers, and engineers looking for an introduction to a novel and comprehensive approach to systems and control, from pure theory to data-driven methods.

Technology and Science for the Ships of the Future

Technology and Science for the Ships of the Future
Author: A. Marinò,V. Bucci
Publsiher: IOS Press
Total Pages: 1076
Release: 2018-06-22
ISBN 10: 1614998701
ISBN 13: 9781614998709
Language: EN, FR, DE, ES & NL

Technology and Science for the Ships of the Future Book Review:

In 1974, a scientific conference covering marine automation group and large vessels issues was organized under the patronage of the Technical Naval Studies Centre (CETENA) and the Italian National Research Council (CNR). A later collaboration with the Marine Technical Association (ATENA) led to the renaming of the conference as NAV, extending the topics covered to the technical field previously covered by ATENA national conferences. The NAV conference is now held every 3 years, and attracts specialists from all over the world. This book presents the proceedings of NAV 2018, held in Trieste, Italy, in June 2018. The book contains 70 scientific papers, 35 technical papers and 16 reviews, and subjects covered include: comfort on board; conceptual and practical ship design; deep sea mining and marine robotics; protection of the environment; renewable marine energy; design and engineering of offshore vessels; digitalization, unmanned vehicles and cyber security; yacht and pleasure craft design and inland waterway vessels. With its comprehensive coverage of scientific and technical maritime issues, the book will be of interest to all those involved in this important industry.

Advances in Critical Flow Dynamics Involving Moving Deformable Structures with Design Applications

Advances in Critical Flow Dynamics Involving Moving Deformable Structures with Design Applications
Author: Marianna Braza
Publsiher: Springer Nature
Total Pages: 135
Release: 2021
ISBN 10: 3030555941
ISBN 13: 9783030555948
Language: EN, FR, DE, ES & NL

Advances in Critical Flow Dynamics Involving Moving Deformable Structures with Design Applications Book Review:

Hilbert Huang Transform and Its Applications

Hilbert   Huang Transform and Its Applications
Author: Norden E Huang,Samuel S P Shen
Publsiher: World Scientific
Total Pages: 400
Release: 2014-04-22
ISBN 10: 981450825X
ISBN 13: 9789814508254
Language: EN, FR, DE, ES & NL

Hilbert Huang Transform and Its Applications Book Review:

This book is written for scientists and engineers who use HHT (Hilbert–Huang Transform) to analyze data from nonlinear and non-stationary processes. It can be treated as a HHT user manual and a source of reference for HHT applications. The book contains the basic principle and method of HHT and various application examples, ranging from the correction of satellite orbit drifting to detection of failure of highway bridges. The thirteen chapters of the first edition are based on the presentations made at a mini-symposium at the Society for Industrial and Applied Mathematics in 2003. Some outstanding mathematical research problems regarding HHT development are discussed in the first three chapters. The three new chapters of the second edition reflect the latest HHT development, including ensemble empirical mode decomposition (EEMD) and modified EMD. The book also provides a platform for researchers to develop the HHT method further and to identify more applications. Contents:Introduction to the Hilbert–Huang Transform and Its Related Mathematical ProblemsEnsemble Empirical Mode Decomposition and Its Multi-Dimensional ExtensionsMultivariate Extensions of Empirical Mode DecompositionB-Spline Based Empirical Mode DecompositionEMD Equivalent Filter Banks, From Interpretation to ApplicationsHHT Sifting and FilteringStatistical Significance Test of Intrinsic Mode FunctionsThe Time-Dependent Intrinsic CorrelationThe Application of Hilbert–Huang Transforms to Meteorological DatasetsEmpirical Mode Decomposition and Climate VariabilityEMD Correction of Orbital Drift Artifacts in Satellite Data StreamHHT Analysis of the Nonlinear and Non-Stationary Annual Cycle of Daily Surface Air Temperature DataHilbert Spectra of Nonlinear Ocean WavesEMD and Instantaneous Phase Detection of Structural DamageHTT-Based Bridge Structural Health-Monitoring MethodApplications of HHT in Image Analysis Readership: Applied mathematicians, climate scientists, highway engineers, medical scientists, geologists, civil engineers, mechanical engineers, electrical engineers, economics and graduate students in science or engineering. Keywords:Hilbert–Huang Transform;Empirical Mode Decomposition;Intrinsic Mode Function;Hilbert Spectral Analysis;Time-Frequency AnalysisKey Features:A tool book for analyzing nonlinear and non-stationary dataA source book for HHT development and applicationsThe most complete reference for HHT method and applications

Turbulence Coherent Structures Dynamical Systems and Symmetry

Turbulence  Coherent Structures  Dynamical Systems and Symmetry
Author: Philip Holmes
Publsiher: Cambridge University Press
Total Pages: 386
Release: 2012-02-23
ISBN 10: 1107008255
ISBN 13: 9781107008250
Language: EN, FR, DE, ES & NL

Turbulence Coherent Structures Dynamical Systems and Symmetry Book Review:

Describes methods revealing the structures and dynamics of turbulence for engineering, physical science and mathematics researchers working in fluid dynamics.

Data Analysis for Direct Numerical Simulations of Turbulent Combustion

Data Analysis for Direct Numerical Simulations of Turbulent Combustion
Author: Heinz Pitsch,Antonio Attili
Publsiher: Springer Nature
Total Pages: 292
Release: 2020-05-28
ISBN 10: 3030447189
ISBN 13: 9783030447182
Language: EN, FR, DE, ES & NL

Data Analysis for Direct Numerical Simulations of Turbulent Combustion Book Review:

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.

IUTAM Symposium on Model Order Reduction of Coupled Systems Stuttgart Germany May 22 25 2018

IUTAM Symposium on Model Order Reduction of Coupled Systems  Stuttgart  Germany  May 22   25  2018
Author: Jörg Fehr,Bernard Haasdonk
Publsiher: Springer
Total Pages: 222
Release: 2019-07-19
ISBN 10: 3030210138
ISBN 13: 9783030210137
Language: EN, FR, DE, ES & NL

IUTAM Symposium on Model Order Reduction of Coupled Systems Stuttgart Germany May 22 25 2018 Book Review:

This volume contains the proceedings of the IUTAM Symposium on Model Order Reduction of Coupled System, held in Stuttgart, Germany, May 22–25, 2018. For the understanding and development of complex technical systems, such as the human body or mechatronic systems, an integrated, multiphysics and multidisciplinary view is essential. Many problems can be solved within one physical domain. For the simulation and optimization of the combined system, the different domains are connected with each other. Very often, the combination is only possible by using reduced order models such that the large-scale dynamical system is approximated with a system of much smaller dimension where the most dominant features of the large-scale system are retained as much as possible. The field of model order reduction (MOR) is interdisciplinary. Researchers from Engineering, Mathematics and Computer Science identify, explore and compare the potentials, challenges and limitations of recent and new advances.

Recent Advances in CFD for Wind and Tidal Offshore Turbines

Recent Advances in CFD for Wind and Tidal Offshore Turbines
Author: Esteban Ferrer,Adeline Montlaur
Publsiher: Springer
Total Pages: 148
Release: 2019-02-06
ISBN 10: 3030118878
ISBN 13: 9783030118877
Language: EN, FR, DE, ES & NL

Recent Advances in CFD for Wind and Tidal Offshore Turbines Book Review:

The book presents novel Computational Fluid Dynamics (CFD) techniques to compute offshore wind and tidal applications. The papers in this volume are based on a mini-symposium held at ECCOMAS 2018. Computational fluid dynamics (CFD) techniques are regarded as the main design tool to explore the new engineering challenges presented by offshore wind and tidal turbines for energy generation. The difficulty and costs of undertaking experimental tests in offshore environments have increased the interest in CFD which is used to design appropriate turbines and blades, understand fluid flow physical phenomena associated with offshore environments, predict power production or characterise offshore environments amongst other topics.

Dynamic Mode Decomposition

Dynamic Mode Decomposition
Author: J. Nathan Kutz,Steven L. Brunton,Bingni W. Brunton,Joshua L. Proctor
Publsiher: SIAM
Total Pages: 234
Release: 2016-11-23
ISBN 10: 161197450X
ISBN 13: 9781611974508
Language: EN, FR, DE, ES & NL

Dynamic Mode Decomposition Book Review:

Data-driven dynamical systems is a burgeoning field?it connects how measurements of nonlinear dynamical systems and/or complex systems can be used with well-established methods in dynamical systems theory. This is a critically important new direction because the governing equations of many problems under consideration by practitioners in various scientific fields are not typically known. Thus, using data alone to help derive, in an optimal sense, the best dynamical system representation of a given application allows for important new insights. The recently developed dynamic mode decomposition (DMD) is an innovative tool for integrating data with dynamical systems theory. The DMD has deep connections with traditional dynamical systems theory and many recent innovations in compressed sensing and machine learning. Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems, the first book to address the DMD algorithm, presents a pedagogical and comprehensive approach to all aspects of DMD currently developed or under development; blends theoretical development, example codes, and applications to showcase the theory and its many innovations and uses; highlights the numerous innovations around the DMD algorithm and demonstrates its efficacy using example problems from engineering and the physical and biological sciences; and provides extensive MATLAB code, data for intuitive examples of key methods, and graphical presentations.

Data Science New Issues Challenges and Applications

Data Science  New Issues  Challenges and Applications
Author: Gintautas Dzemyda,Jolita Bernatavičienė,Janusz Kacprzyk
Publsiher: Springer Nature
Total Pages: 313
Release: 2020-02-13
ISBN 10: 3030392503
ISBN 13: 9783030392505
Language: EN, FR, DE, ES & NL

Data Science New Issues Challenges and Applications Book Review:

This book contains 16 chapters by researchers working in various fields of data science. They focus on theory and applications in language technologies, optimization, computational thinking, intelligent decision support systems, decomposition of signals, model-driven development methodologies, interoperability of enterprise applications, anomaly detection in financial markets, 3D virtual reality, monitoring of environmental data, convolutional neural networks, knowledge storage, data stream classification, and security in social networking. The respective papers highlight a wealth of issues in, and applications of, data science. Modern technologies allow us to store and transfer large amounts of data quickly. They can be very diverse - images, numbers, streaming, related to human behavior and physiological parameters, etc. Whether the data is just raw numbers, crude images, or will help solve current problems and predict future developments, depends on whether we can effectively process and analyze it. Data science is evolving rapidly. However, it is still a very young field. In particular, data science is concerned with visualizations, statistics, pattern recognition, neurocomputing, image analysis, machine learning, artificial intelligence, databases and data processing, data mining, big data analytics, and knowledge discovery in databases. It also has many interfaces with optimization, block chaining, cyber-social and cyber-physical systems, Internet of Things (IoT), social computing, high-performance computing, in-memory key-value stores, cloud computing, social computing, data feeds, overlay networks, cognitive computing, crowdsource analysis, log analysis, container-based virtualization, and lifetime value modeling. Again, all of these areas are highly interrelated. In addition, data science is now expanding to new fields of application: chemical engineering, biotechnology, building energy management, materials microscopy, geographic research, learning analytics, radiology, metal design, ecosystem homeostasis investigation, and many others.

Numerical Linear Algebra

Numerical Linear Algebra
Author: Lloyd N. Trefethen,David Bau, III
Publsiher: SIAM
Total Pages: 361
Release: 1997-01-01
ISBN 10: 9780898719574
ISBN 13: 0898719577
Language: EN, FR, DE, ES & NL

Numerical Linear Algebra Book Review:

A concise, insightful, and elegant introduction to the field of numerical linear algebra. Designed for use as a stand-alone textbook in a one-semester, graduate-level course in the topic, it has already been class-tested by MIT and Cornell graduate students from all fields of mathematics, engineering, and the physical sciences. The authors' clear, inviting style and evident love of the field, along with their eloquent presentation of the most fundamental ideas in numerical linear algebra, make it popular with teachers and students alike.

Data Driven Modeling Scientific Computation

Data Driven Modeling   Scientific Computation
Author: J. Nathan Kutz
Publsiher: Oxford University Press
Total Pages: 638
Release: 2013-08-08
ISBN 10: 0199660336
ISBN 13: 9780199660339
Language: EN, FR, DE, ES & NL

Data Driven Modeling Scientific Computation Book Review:

Combining scientific computing methods and algorithms with modern data analysis techniques, including basic applications of compressive sensing and machine learning, this book develops techniques that allow for the integration of the dynamics of complex systems and big data. MATLAB is used throughout for mathematical solution strategies.

Cardiovascular Mechanics

Cardiovascular Mechanics
Author: Michel F. Labrosse
Publsiher: CRC Press
Total Pages: 386
Release: 2018-09-13
ISBN 10: 1315280272
ISBN 13: 9781315280271
Language: EN, FR, DE, ES & NL

Cardiovascular Mechanics Book Review:

The objective of this book is to illustrate in specific detail how cardiovascular mechanics stands as a common pillar supporting such different clinical successes as drugs for high blood pressure, prosthetic heart valves and coronary artery bypass grafting, among others. This information is conveyed through a comprehensive treatment of the overarching principles and theories that are behind mechanobiological processes, aortic and arterial mechanics, atherosclerosis, blood and microcirculation, hear valve mechanics, as well as medical devices and drugs. Examines all major theoretical and practical aspects of mechanical forces related to the cardiovascular system. Discusses a unique coverage of mechanical changes related to an aging cardiovascular system. Provides an overview of experimental methods in cardiovascular mechanics. Written by world-class researchers from Canada, the US and EU. Extensive references are provided at the end of each chapter to enhance further study. Michel R. Labrosse is the founder of the Cardiovascular Mechanics Laboratory at the University of Ottawa, where he is a full professor within the Department of Mechanical Engineering. He has been an active researcher in academia along with being heavily associated with the University of Ottawa Heart Institute. He has authored or co-authored over 90 refereed communications, and supervised or co-supervised over 40 graduate students and post-docs.

Bandit Algorithms

Bandit Algorithms
Author: Tor Lattimore,Csaba Szepesvári
Publsiher: Cambridge University Press
Total Pages: 536
Release: 2020-07-16
ISBN 10: 1108486827
ISBN 13: 9781108486828
Language: EN, FR, DE, ES & NL

Bandit Algorithms Book Review:

A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.

Stochastic Tools in Turbulence

Stochastic Tools in Turbulence
Author: John L. Lumey
Publsiher: Elsevier
Total Pages: 208
Release: 2012-12-02
ISBN 10: 0323162258
ISBN 13: 9780323162258
Language: EN, FR, DE, ES & NL

Stochastic Tools in Turbulence Book Review:

Stochastic Tools in Turbulence discusses the available mathematical tools to describe stochastic vector fields to solve problems related to these fields. The book deals with the needs of turbulence in relation to stochastic vector fields, particularly, on three-dimensional aspects, linear problems, and stochastic model building. The text describes probability distributions and densities, including Lebesgue integration, conditional probabilities, conditional expectations, statistical independence, lack of correlation. The book also explains the significance of the moments, the properties of the characteristic function, and the Gaussian distribution from a more physical point of view. In considering fields, one must account for single-valued functions of one or more parameters, or collections of single-valued functions of one or more parameters such as time or space coordinates. The text also discusses multidimensional vector fields of finite energy, the characteristic eddies for a homogenous vector field, as well as, the distribution of solutions of an algebraic equation. Engineers, algebra students, and professors of statistics and advanced mathematics will find the book highly useful.