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Author: Andrea Saltelli Publisher: John Wiley & Sons ISBN: 047087094X Category : Mathematics Languages : en Pages : 232
Book Description
Sensitivity analysis should be considered a pre-requisite for statistical model building in any scientific discipline where modelling takes place. For a non-expert, choosing the method of analysis for their model is complex, and depends on a number of factors. This book guides the non-expert through their problem in order to enable them to choose and apply the most appropriate method. It offers a review of the state-of-the-art in sensitivity analysis, and is suitable for a wide range of practitioners. It is focussed on the use of SIMLAB – a widely distributed freely-available sensitivity analysis software package developed by the authors – for solving problems in sensitivity analysis of statistical models. Other key features: Provides an accessible overview of the current most widely used methods for sensitivity analysis. Opens with a detailed worked example to explain the motivation behind the book. Includes a range of examples to help illustrate the concepts discussed. Focuses on implementation of the methods in the software SIMLAB - a freely-available sensitivity analysis software package developed by the authors. Contains a large number of references to sources for further reading. Authored by the leading authorities on sensitivity analysis.
Author: Andrea Saltelli Publisher: John Wiley & Sons ISBN: 047087094X Category : Mathematics Languages : en Pages : 232
Book Description
Sensitivity analysis should be considered a pre-requisite for statistical model building in any scientific discipline where modelling takes place. For a non-expert, choosing the method of analysis for their model is complex, and depends on a number of factors. This book guides the non-expert through their problem in order to enable them to choose and apply the most appropriate method. It offers a review of the state-of-the-art in sensitivity analysis, and is suitable for a wide range of practitioners. It is focussed on the use of SIMLAB – a widely distributed freely-available sensitivity analysis software package developed by the authors – for solving problems in sensitivity analysis of statistical models. Other key features: Provides an accessible overview of the current most widely used methods for sensitivity analysis. Opens with a detailed worked example to explain the motivation behind the book. Includes a range of examples to help illustrate the concepts discussed. Focuses on implementation of the methods in the software SIMLAB - a freely-available sensitivity analysis software package developed by the authors. Contains a large number of references to sources for further reading. Authored by the leading authorities on sensitivity analysis.
Author: Andrea Saltelli Publisher: John Wiley & Sons ISBN: 9780470725177 Category : Mathematics Languages : en Pages : 304
Book Description
Complex mathematical and computational models are used in all areas of society and technology and yet model based science is increasingly contested or refuted, especially when models are applied to controversial themes in domains such as health, the environment or the economy. More stringent standards of proofs are demanded from model-based numbers, especially when these numbers represent potential financial losses, threats to human health or the state of the environment. Quantitative sensitivity analysis is generally agreed to be one such standard. Mathematical models are good at mapping assumptions into inferences. A modeller makes assumptions about laws pertaining to the system, about its status and a plethora of other, often arcane, system variables and internal model settings. To what extent can we rely on the model-based inference when most of these assumptions are fraught with uncertainties? Global Sensitivity Analysis offers an accessible treatment of such problems via quantitative sensitivity analysis, beginning with the first principles and guiding the reader through the full range of recommended practices with a rich set of solved exercises. The text explains the motivation for sensitivity analysis, reviews the required statistical concepts, and provides a guide to potential applications. The book: Provides a self-contained treatment of the subject, allowing readers to learn and practice global sensitivity analysis without further materials. Presents ways to frame the analysis, interpret its results, and avoid potential pitfalls. Features numerous exercises and solved problems to help illustrate the applications. Is authored by leading sensitivity analysis practitioners, combining a range of disciplinary backgrounds. Postgraduate students and practitioners in a wide range of subjects, including statistics, mathematics, engineering, physics, chemistry, environmental sciences, biology, toxicology, actuarial sciences, and econometrics will find much of use here. This book will prove equally valuable to engineers working on risk analysis and to financial analysts concerned with pricing and hedging.
Author: Andreas Ciroth Publisher: Lulu.com ISBN: 1446600874 Category : Business & Economics Languages : en Pages : 410
Book Description
This study investigates social and environmental impacts caused by an ecolabeled notebook along its entire life cycle. In order to analyse the divers effects of the laptop, a social life cycle assessment and an environmental life cycle assessment were performed in parallel. Both assessments together provide a holistic overview of positive and negative impacts in regard to social and environmental sustainability.This book contains the complete final report written by GreenDeltaTC on behalf of the Belgian Federal Public Planning Service Sustainable Development. It comprises the methodological background, the social inventory, process modifications with regard to the environmental inventory, and detailed results of the impact assessment phase. Further, a newly developed social impact assessment method is presented and applied. In addition, recommendations on company and policy level were derived.
Author: Richard Hartley Publisher: Cambridge University Press ISBN: 1139449141 Category : Computers Languages : en Pages : 676
Book Description
A basic problem in computer vision is to understand the structure of a real world scene given several images of it. Techniques for solving this problem are taken from projective geometry and photogrammetry. Here, the authors cover the geometric principles and their algebraic representation in terms of camera projection matrices, the fundamental matrix and the trifocal tensor. The theory and methods of computation of these entities are discussed with real examples, as is their use in the reconstruction of scenes from multiple images. The new edition features an extended introduction covering the key ideas in the book (which itself has been updated with additional examples and appendices) and significant new results which have appeared since the first edition. Comprehensive background material is provided, so readers familiar with linear algebra and basic numerical methods can understand the projective geometry and estimation algorithms presented, and implement the algorithms directly from the book.
Author: Ian Maclean Publisher: BRILL ISBN: 9004440089 Category : History Languages : en Pages : 438
Book Description
In Episodes, Ian Maclean investigates the ways in which the book trade operated through book fairs, and interacted with academic institutions, journals and intellectual life in various European settings (Germany, Italy, the Netherlands and England) in the long seventeenth century.
Author: Anders Logg Publisher: Springer Science & Business Media ISBN: 3642230997 Category : Computers Languages : en Pages : 723
Book Description
This book is a tutorial written by researchers and developers behind the FEniCS Project and explores an advanced, expressive approach to the development of mathematical software. The presentation spans mathematical background, software design and the use of FEniCS in applications. Theoretical aspects are complemented with computer code which is available as free/open source software. The book begins with a special introductory tutorial for beginners. Following are chapters in Part I addressing fundamental aspects of the approach to automating the creation of finite element solvers. Chapters in Part II address the design and implementation of the FEnicS software. Chapters in Part III present the application of FEniCS to a wide range of applications, including fluid flow, solid mechanics, electromagnetics and geophysics.
Author: Piers Anthony Publisher: Mundania Press ISBN: 097236708X Category : Science fiction, American Languages : en Pages : 428
Book Description
Throughout history, man has been searching for better ways to gather information about his universe. But although they may have longed for it, not even the most brilliant minds could conceive of a device as infinitely powerful or as immeasurably precise as the Macroscope, until the twenty-first century. This is a story of mans desperate search for a compromise between his mind and his heart, between knowledge and humanity.
Author: Frantz Fanon Publisher: ISBN: 9780745399546 Category : Black race Languages : en Pages : 0
Book Description
Black Skin, White Masks is a classic, devastating account of the dehumanising effects of colonisation experienced by black subjects living in a white world. First published in English in 1967, this book provides an unsurpassed study of the psychology of racism using scientific analysis and poetic grace.Franz Fanon identifies a devastating pathology at the heart of Western culture, a denial of difference, that persists to this day. A major influence on civil rights, anti-colonial, and black consciousness movements around the world, his writings speak to all who continue the struggle for political and cultural liberation.With an introduction by Paul Gilroy, author of There Ain't No Black in the Union Jack.
Author: Richard S. Sutton Publisher: MIT Press ISBN: 0262352702 Category : Computers Languages : en Pages : 549
Book Description
The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
Author: Andrea Saltelli
Author: Andrea Saltelli
Author: Andrea Saltelli
Author: Andreas Ciroth
Author: Richard Hartley
Author: Ian Maclean
Author: Derek John de Solla Price
Author: Anders Logg
Author: Piers Anthony
Author: Frantz Fanon
Author: Richard S. Sutton