Demystifying Numerical Models
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Demystifying Numerical Models
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Author : John Mo
language : en
Publisher: Butterworth-Heinemann
Release Date : 2018-09-17
Demystifying Numerical Models written by John Mo and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-17 with Technology & Engineering categories.
Demystifying Numerical Models: Step-by Step Modeling of Engineering Systems is the perfect guide on the analytic concepts of engineering components and systems. In simplified terms, the book focuses on engineering characteristics and behaviors using numerical methods. Readers will learn how the computational aspects of engineering analysis can be applied to develop various engineering systems to a level that is fit for implementation. Provides numerical examples and graphical representations of complex mathematical models Includes downloadable spreadsheets of the numerical tools discussed that allow the reader to gain a hands-on understanding of how they work Explains the engineering foundations behind the increasingly widespread and complex numerical models
Demystifying Climate Models
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Author : Andrew Gettelman
language : en
Publisher: Springer
Release Date : 2016-04-09
Demystifying Climate Models written by Andrew Gettelman and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-04-09 with Technology & Engineering categories.
This book demystifies the models we use to simulate present and future climates, allowing readers to better understand how to use climate model results. In order to predict the future trajectory of the Earth’s climate, climate-system simulation models are necessary. When and how do we trust climate model predictions? The book offers a framework for answering this question. It provides readers with a basic primer on climate and climate change, and offers non-technical explanations for how climate models are constructed, why they are uncertain, and what level of confidence we should place in them. It presents current results and the key uncertainties concerning them. Uncertainty is not a weakness but understanding uncertainty is a strength and a key part of using any model, including climate models. Case studies of how climate model output has been used and how it might be used in the future are provided. The ultimate goal of this book is to promote a better understanding of the structure and uncertainties of climate models among users, including scientists, engineers and policymakers.
Numerical Models For Differential Problems
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Author : Alfio Quarteroni
language : en
Publisher: Springer
Release Date : 2014-03-19
Numerical Models For Differential Problems written by Alfio Quarteroni and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-03-19 with Mathematics categories.
In this text, we introduce the basic concepts for the numerical modelling of partial differential equations. We consider the classical elliptic, parabolic and hyperbolic linear equations, but also the diffusion, transport, and Navier-Stokes equations, as well as equations representing conservation laws, saddle-point problems and optimal control problems. Furthermore, we provide numerous physical examples which underline such equations. We then analyze numerical solution methods based on finite elements, finite differences, finite volumes, spectral methods and domain decomposition methods, and reduced basis methods. In particular, we discuss the algorithmic and computer implementation aspects and provide a number of easy-to-use programs. The text does not require any previous advanced mathematical knowledge of partial differential equations: the absolutely essential concepts are reported in a preliminary chapter. It is therefore suitable for students of bachelor and master courses in scientific disciplines, and recommendable to those researchers in the academic and extra-academic domain who want to approach this interesting branch of applied mathematics.
Demystifying The Brain
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Author : V. Srinivasa Chakravarthy
language : en
Publisher: Springer
Release Date : 2018-12-07
Demystifying The Brain written by V. Srinivasa Chakravarthy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-07 with Computers categories.
This book presents an emerging new vision of the brain, which is essentially expressed in computational terms, for non-experts. As such, it presents the fundamental concepts of neuroscience in simple language, without overwhelming non-biologists with excessive biological jargon. In addition, the book presents a novel computational perspective on the brain for biologists, without resorting to complex mathematical equations. It addresses a comprehensive range of topics, starting with the history of neuroscience, the function of the individual neuron, the various kinds of neural network models that can explain diverse neural phenomena, sensory-motor function, language, emotions, and concluding with the latest theories on consciousness. The book offers readers a panoramic introduction to the “new brain” and a valuable resource for interdisciplinary researchers looking to gatecrash the world of neuroscience.
Demystifying The Meese Rogoff Puzzle
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Author : I. Moosa
language : en
Publisher: Springer
Release Date : 2014-12-17
Demystifying The Meese Rogoff Puzzle written by I. Moosa and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-17 with Business & Economics categories.
For the past 30 years international monetary economists have believed that exchange rate models cannot outperform the random walk in out-of-sample forecasting as a result of the 1983 paper written by Richard Meese and Kenneth Rogoff. Marking the culmination of their extensive research into the Meese-Rogoff puzzle, Moosa and Burns challenge the orthodoxy by demonstrating that the naïve random walk model can be outperformed by exchange rate models when forecasting accuracy is measured by metrics that do not rely exclusively on the magnitude of forecasting error. The authors present compelling evidence, supported by their own measure: the 'adjusted root mean square error', to finally solve the Meese-Rogoff puzzle and provide a new alternative. Demystifying the Meese-Rogoff Puzzle will appeal to academics with an interest in exchange rate economics and international monetary economics. It will also be a useful resource for central banks and financial institutions.
Demystifying Modelling Methods For Trade Policy
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Author : Roberta Piermartini
language : en
Publisher:
Release Date : 2005
Demystifying Modelling Methods For Trade Policy written by Roberta Piermartini and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005 with Commerce categories.
Advances In Applied Mechanics
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Author : Deepak Kumar
language : en
Publisher: Springer Nature
Release Date :
Advances In Applied Mechanics written by Deepak Kumar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on with categories.
Intelligent Systems In Industrial Applications
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Author : Martin Stettinger
language : en
Publisher: Springer Nature
Release Date : 2021-02-03
Intelligent Systems In Industrial Applications written by Martin Stettinger and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-02-03 with Technology & Engineering categories.
This book presents a selection of papers from the industrial track of ISMIS 2020. The selection emphasizes broad applicability of artificial intelligence (AI) technologies in various industrial fields. The aim of the book is to fertilize preliminary ideas of readers on the application of AI by means of already successfully implemented application examples. Furthermore, the development of new ideas and concepts shall be motivated by the variety of different application examples. The spectrum of the presented contributions ranges from education and training, industrial applications in production and logistics to the development of new approaches in basic research, which will further expand the possibilities of future applications of AI in industrial settings. This broad spectrum gives readers working in the industrial as well as the academic field a good overview of the state of the art in the field of methodologies for intelligent systems.
Engineering Principles Of Unit Operations In Food Processing
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Author : Seid Mahdi Jafari
language : en
Publisher: Woodhead Publishing
Release Date : 2021-06-22
Engineering Principles Of Unit Operations In Food Processing written by Seid Mahdi Jafari and has been published by Woodhead Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-22 with Technology & Engineering categories.
Engineering Principles of Unit Operations in Food Processing, volume 1 in the Woodhead Publishing Series, In Unit Operations and Processing Equipment in the Food Industry series, presents basic principles of food engineering with an emphasis on unit operations, such as heat transfer, mass transfer and fluid mechanics. Brings new opportunities in the optimization of food processing operations Thoroughly explores applications of food engineering to food processes Focuses on unit operations from an engineering viewpoint
Numerical Modelling Handbook
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Author : Gregory Rago
language : en
Publisher:
Release Date : 2015-01-09
Numerical Modelling Handbook written by Gregory Rago and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-09 with Engineering categories.
A descriptive account based on numerical modelling has been presented in this book. It documents case studies and applications developed by veterans for students and professionals associated with the fields of engineering, decision making management, technology, materials and other industries in which mathematical modelling plays a vital role. It elucidates various examples ranging from well-known standards to novelty applications. The term "model" is primarily comprehended as a group of equations which present the variables and interconnections of physical system or procedure. Models are developed and analyzed extensively, and authors cautiously consider the process for formulating a mathematical alternative to a phenomenon under consideration. For most cases, this results in partial differential equations, for the solution of which numerical methodologies need to be applied. Advancements in computer technology and associated software have presented several tools of enhancing power for specialists in mathematical modelling. This book will serve as a valuable reference for those interested in the field.