Verification And Validation In Scientific Computing

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Verification and Validation in Scientific Computing

Author : William L. Oberkampf
Publisher : Cambridge University Press
ISBN 13 : 1139491768
Total Pages : 782 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Verification and Validation in Scientific Computing by : William L. Oberkampf

Download or read book Verification and Validation in Scientific Computing written by William L. Oberkampf and published by Cambridge University Press. This book was released on 2010-10-14 with total page 782 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in scientific computing have made modelling and simulation an important part of the decision-making process in engineering, science, and public policy. This book provides a comprehensive and systematic development of the basic concepts, principles, and procedures for verification and validation of models and simulations. The emphasis is placed on models that are described by partial differential and integral equations and the simulations that result from their numerical solution. The methods described can be applied to a wide range of technical fields, from the physical sciences, engineering and technology and industry, through to environmental regulations and safety, product and plant safety, financial investing, and governmental regulations. This book will be genuinely welcomed by researchers, practitioners, and decision makers in a broad range of fields, who seek to improve the credibility and reliability of simulation results. It will also be appropriate either for university courses or for independent study.

Verification and Validation in Scientific Computing

Author :
Publisher :
ISBN 13 : 9781781545928
Total Pages : 240 pages
Book Rating : 4.5/5 (459 download)

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Book Synopsis Verification and Validation in Scientific Computing by :

Download or read book Verification and Validation in Scientific Computing written by and published by . This book was released on 2015 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Software Verification and Validation

Author : Marcus S. Fisher
Publisher : Springer Science & Business Media
ISBN 13 : 0387479392
Total Pages : 178 pages
Book Rating : 4.3/5 (874 download)

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Book Synopsis Software Verification and Validation by : Marcus S. Fisher

Download or read book Software Verification and Validation written by Marcus S. Fisher and published by Springer Science & Business Media. This book was released on 2007-12-03 with total page 178 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book fills the critical need for an in-depth technical reference providing the methods and techniques for building and maintaining confidence in many varities of system software. The intent is to help develop reliable answers to such critical questions as: 1) Are we building the right software for the need? and 2) Are we building the software right? Software Verification and Validation: An Engineering and Scientific Approach is structured for research scientists and practitioners in industry. The book is also suitable as a secondary textbook for advanced-level students in computer science and engineering.

Accuracy and Reliability in Scientific Computing

Author : Bo Einarsson
Publisher : SIAM
ISBN 13 : 0898715849
Total Pages : 348 pages
Book Rating : 4.8/5 (987 download)

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Book Synopsis Accuracy and Reliability in Scientific Computing by : Bo Einarsson

Download or read book Accuracy and Reliability in Scientific Computing written by Bo Einarsson and published by SIAM. This book was released on 2005-08-01 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book investigates some of the difficulties related to scientific computing, describing how these can be overcome.

Validation, Verification, and Testing of Computer Software

Author : W. Richards Adrion
Publisher :
ISBN 13 :
Total Pages : 68 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Validation, Verification, and Testing of Computer Software by : W. Richards Adrion

Download or read book Validation, Verification, and Testing of Computer Software written by W. Richards Adrion and published by . This book was released on 1981 with total page 68 pages. Available in PDF, EPUB and Kindle. Book excerpt:

High-Performance Scientific Computing

Author : Michael W. Berry
Publisher : Springer Science & Business Media
ISBN 13 : 1447124367
Total Pages : 351 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis High-Performance Scientific Computing by : Michael W. Berry

Download or read book High-Performance Scientific Computing written by Michael W. Berry and published by Springer Science & Business Media. This book was released on 2012-01-18 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the state of the art in parallel numerical algorithms, applications, architectures, and system software. The book examines various solutions for issues of concurrency, scale, energy efficiency, and programmability, which are discussed in the context of a diverse range of applications. Features: includes contributions from an international selection of world-class authorities; examines parallel algorithm-architecture interaction through issues of computational capacity-based codesign and automatic restructuring of programs using compilation techniques; reviews emerging applications of numerical methods in information retrieval and data mining; discusses the latest issues in dense and sparse matrix computations for modern high-performance systems, multicores, manycores and GPUs, and several perspectives on the Spike family of algorithms for solving linear systems; presents outstanding challenges and developing technologies, and puts these in their historical context.

Scientific Computing, Computer Arithmetic, and Validated Numerics

Author : Marco Nehmeier
Publisher : Springer
ISBN 13 : 3319317695
Total Pages : 291 pages
Book Rating : 4.3/5 (193 download)

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Book Synopsis Scientific Computing, Computer Arithmetic, and Validated Numerics by : Marco Nehmeier

Download or read book Scientific Computing, Computer Arithmetic, and Validated Numerics written by Marco Nehmeier and published by Springer. This book was released on 2016-04-08 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post proceedings of the 16th International Symposium, SCAN 2014, held in Würzburg, Germany, in September 2014. The 22 full papers presented were carefully reviewed and selected from 60 submissions. The main concerns of research addressed by SCAN conferences are validation, verification or reliable assertions of numerical computations. Interval arithmetic and other treatments of uncertainty are developed as appropriate tools.

Verification and Validation in Computational Science and Engineering

Author : Patrick J. Roache
Publisher :
ISBN 13 : 9780913478080
Total Pages : 0 pages
Book Rating : 4.4/5 (78 download)

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Book Synopsis Verification and Validation in Computational Science and Engineering by : Patrick J. Roache

Download or read book Verification and Validation in Computational Science and Engineering written by Patrick J. Roache and published by . This book was released on 1998 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Assessing the Reliability of Complex Models

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309256348
Total Pages : 144 pages
Book Rating : 4.3/5 (92 download)

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Book Synopsis Assessing the Reliability of Complex Models by : National Research Council

Download or read book Assessing the Reliability of Complex Models written by National Research Council and published by National Academies Press. This book was released on 2012-07-26 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in computing hardware and algorithms have dramatically improved the ability to simulate complex processes computationally. Today's simulation capabilities offer the prospect of addressing questions that in the past could be addressed only by resource-intensive experimentation, if at all. Assessing the Reliability of Complex Models recognizes the ubiquity of uncertainty in computational estimates of reality and the necessity for its quantification. As computational science and engineering have matured, the process of quantifying or bounding uncertainties in a computational estimate of a physical quality of interest has evolved into a small set of interdependent tasks: verification, validation, and uncertainty of quantification (VVUQ). In recognition of the increasing importance of computational simulation and the increasing need to assess uncertainties in computational results, the National Research Council was asked to study the mathematical foundations of VVUQ and to recommend steps that will ultimately lead to improved processes. Assessing the Reliability of Complex Models discusses changes in education of professionals and dissemination of information that should enhance the ability of future VVUQ practitioners to improve and properly apply VVUQ methodologies to difficult problems, enhance the ability of VVUQ customers to understand VVUQ results and use them to make informed decisions, and enhance the ability of all VVUQ stakeholders to communicate with each other. This report is an essential resource for all decision and policy makers in the field, students, stakeholders, UQ experts, and VVUQ educators and practitioners.

Introduction to Scientific and Technical Computing

Author : Frank T. Willmore
Publisher : CRC Press
ISBN 13 : 1315351854
Total Pages : 266 pages
Book Rating : 4.3/5 (153 download)

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Book Synopsis Introduction to Scientific and Technical Computing by : Frank T. Willmore

Download or read book Introduction to Scientific and Technical Computing written by Frank T. Willmore and published by CRC Press. This book was released on 2016-08-19 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: Created to help scientists and engineers write computer code, this practical book addresses the important tools and techniques that are necessary for scientific computing, but which are not yet commonplace in science and engineering curricula. This book contains chapters summarizing the most important topics that computational researchers need to know about. It leverages the viewpoints of passionate experts involved with scientific computing courses around the globe and aims to be a starting point for new computational scientists and a reference for the experienced. Each contributed chapter focuses on a specific tool or skill, providing the content needed to provide a working knowledge of the topic in about one day. While many individual books on specific computing topics exist, none is explicitly focused on getting technical professionals and students up and running immediately across a variety of computational areas.

Smarter Than Their Machines

Author : John Cullinane
Publisher : Morgan & Claypool Publishers
ISBN 13 : 1627055525
Total Pages : 216 pages
Book Rating : 4.6/5 (27 download)

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Book Synopsis Smarter Than Their Machines by : John Cullinane

Download or read book Smarter Than Their Machines written by John Cullinane and published by Morgan & Claypool Publishers. This book was released on 2014-11-01 with total page 216 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smarter Than Their Machines: Oral Histories of the Pioneers of Interactive Computing is based on oral histories archived at the Charles Babbage Institute, University of Minnesota. Included are the oral histories of some key pioneers of the computer industry selected by John that led to interactive computing, such as Richard Bloch, Gene Amdahl, Herbert W. Robinson, Sam Wyly, J.C.R. Licklider, Ivan Sutherland, Larry Roberts, Robert Kahn, Marvin Minsky, Michael Dertouzos, and Joseph Traub, as well as his own. John has woven them together via introductions that is, in essence, a personal walk down the computer industry road. John had the unique advantage of having been part of, or witness to, much of the history contained in these oral histories beginning as a co-op student at Arthur D. Little, Inc., in the 1950’s. Eventually, he would become a pioneer in his own right by creating the computer industry's first successful software products company (Cullinane Corporation). However, an added benefit of reading these oral histories is that they contain important messages for our leaders of today, at all levels, including that government, industry, and academia can accomplish great things when working together in an effective way. This is how the computer industry was created, which then led to the Internet, both totally unanticipated just 75 years ago.

Computing Systems for Autonomous Driving

Author : Weisong Shi
Publisher : Springer Nature
ISBN 13 : 3030815641
Total Pages : 239 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Computing Systems for Autonomous Driving by : Weisong Shi

Download or read book Computing Systems for Autonomous Driving written by Weisong Shi and published by Springer Nature. This book was released on 2021-11-15 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book on computing systems for autonomous driving takes a comprehensive look at the state-of-the-art computing technologies, including computing frameworks, algorithm deployment optimizations, systems runtime optimizations, dataset and benchmarking, simulators, hardware platforms, and smart infrastructures. The objectives of level 4 and level 5 autonomous driving require colossal improvement in the computing for this cyber-physical system. Beginning with a definition of computing systems for autonomous driving, this book introduces promising research topics and serves as a useful starting point for those interested in starting in the field. In addition to the current landscape, the authors examine the remaining open challenges to achieve L4/L5 autonomous driving. Computing Systems for Autonomous Driving provides a good introduction for researchers and prospective practitioners in the field. The book can also serve as a useful reference for university courses on autonomous vehicle technologies.This book on computing systems for autonomous driving takes a comprehensive look at the state-of-the-art computing technologies, including computing frameworks, algorithm deployment optimizations, systems runtime optimizations, dataset and benchmarking, simulators, hardware platforms, and smart infrastructures. The objectives of level 4 and level 5 autonomous driving require colossal improvement in the computing for this cyber-physical system. Beginning with a definition of computing systems for autonomous driving, this book introduces promising research topics and serves as a useful starting point for those interested in starting in the field. In addition to the current landscape, the authors examine the remaining open challenges to achieve L4/L5 autonomous driving. Computing Systems for Autonomous Driving provides a good introduction for researchers and prospective practitioners in the field. The book can also serve as a useful reference for university courses on autonomous vehicle technologies.

Uncertainty Quantification

Author : Ralph C. Smith
Publisher : SIAM
ISBN 13 : 161197321X
Total Pages : 400 pages
Book Rating : 4.6/5 (119 download)

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Book Synopsis Uncertainty Quantification by : Ralph C. Smith

Download or read book Uncertainty Quantification written by Ralph C. Smith and published by SIAM. This book was released on 2013-12-02 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: The field of uncertainty quantification is evolving rapidly because of increasing emphasis on models that require quantified uncertainties for large-scale applications, novel algorithm development, and new computational architectures that facilitate implementation of these algorithms. Uncertainty Quantification: Theory, Implementation, and Applications provides readers with the basic concepts, theory, and algorithms necessary to quantify input and response uncertainties for simulation models arising in a broad range of disciplines. The book begins with a detailed discussion of applications where uncertainty quantification is critical for both scientific understanding and policy. It then covers concepts from probability and statistics, parameter selection techniques, frequentist and Bayesian model calibration, propagation of uncertainties, quantification of model discrepancy, surrogate model construction, and local and global sensitivity analysis. The author maintains a complementary web page where readers can find data used in the exercises and other supplementary material.

Urban Computing

Author : Yu Zheng
Publisher : MIT Press
ISBN 13 : 0262039087
Total Pages : 633 pages
Book Rating : 4.2/5 (62 download)

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Book Synopsis Urban Computing by : Yu Zheng

Download or read book Urban Computing written by Yu Zheng and published by MIT Press. This book was released on 2019-02-05 with total page 633 pages. Available in PDF, EPUB and Kindle. Book excerpt: An authoritative treatment of urban computing, offering an overview of the field, fundamental techniques, advanced models, and novel applications. Urban computing brings powerful computational techniques to bear on such urban challenges as pollution, energy consumption, and traffic congestion. Using today's large-scale computing infrastructure and data gathered from sensing technologies, urban computing combines computer science with urban planning, transportation, environmental science, sociology, and other areas of urban studies, tackling specific problems with concrete methodologies in a data-centric computing framework. This authoritative treatment of urban computing offers an overview of the field, fundamental techniques, advanced models, and novel applications. Each chapter acts as a tutorial that introduces readers to an important aspect of urban computing, with references to relevant research. The book outlines key concepts, sources of data, and typical applications; describes four paradigms of urban sensing in sensor-centric and human-centric categories; introduces data management for spatial and spatio-temporal data, from basic indexing and retrieval algorithms to cloud computing platforms; and covers beginning and advanced topics in mining knowledge from urban big data, beginning with fundamental data mining algorithms and progressing to advanced machine learning techniques. Urban Computing provides students, researchers, and application developers with an essential handbook to an evolving interdisciplinary field.

Reproducibility and Replicability in Science

Author : National Academies of Sciences, Engineering, and Medicine
Publisher : National Academies Press
ISBN 13 : 0309486165
Total Pages : 257 pages
Book Rating : 4.3/5 (94 download)

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Book Synopsis Reproducibility and Replicability in Science by : National Academies of Sciences, Engineering, and Medicine

Download or read book Reproducibility and Replicability in Science written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2019-10-20 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.

Monte Carlo Strategies in Scientific Computing

Author : Jun S. Liu
Publisher : Springer Science & Business Media
ISBN 13 : 0387763716
Total Pages : 350 pages
Book Rating : 4.3/5 (877 download)

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Book Synopsis Monte Carlo Strategies in Scientific Computing by : Jun S. Liu

Download or read book Monte Carlo Strategies in Scientific Computing written by Jun S. Liu and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a self-contained and up-to-date treatment of the Monte Carlo method and develops a common framework under which various Monte Carlo techniques can be "standardized" and compared. Given the interdisciplinary nature of the topics and a moderate prerequisite for the reader, this book should be of interest to a broad audience of quantitative researchers such as computational biologists, computer scientists, econometricians, engineers, probabilists, and statisticians. It can also be used as a textbook for a graduate-level course on Monte Carlo methods.

Peer-to-Peer Computing

Author : Quang Hieu Vu
Publisher : Springer Science & Business Media
ISBN 13 : 3642035140
Total Pages : 330 pages
Book Rating : 4.6/5 (42 download)

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Book Synopsis Peer-to-Peer Computing by : Quang Hieu Vu

Download or read book Peer-to-Peer Computing written by Quang Hieu Vu and published by Springer Science & Business Media. This book was released on 2009-10-20 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Peer-to-peer (P2P) technology, or peer computing, is a paradigm that is viewed as a potential technology for redesigning distributed architectures and, consequently, distributed processing. Yet the scale and dynamism that characterize P2P systems demand that we reexamine traditional distributed technologies. A paradigm shift that includes self-reorganization, adaptation and resilience is called for. On the other hand, the increased computational power of such networks opens up completely new applications, such as in digital content sharing, scientific computation, gaming, or collaborative work environments. In this book, Vu, Lupu and Ooi present the technical challenges offered by P2P systems, and the means that have been proposed to address them. They provide a thorough and comprehensive review of recent advances on routing and discovery methods; load balancing and replication techniques; security, accountability and anonymity, as well as trust and reputation schemes; programming models and P2P systems and projects. Besides surveying existing methods and systems, they also compare and evaluate some of the more promising schemes. The need for such a book is evident. It provides a single source for practitioners, researchers and students on the state of the art. For practitioners, this book explains best practice, guiding selection of appropriate techniques for each application. For researchers, this book provides a foundation for the development of new and more effective methods. For students, it is an overview of the wide range of advanced techniques for realizing effective P2P systems, and it can easily be used as a text for an advanced course on Peer-to-Peer Computing and Technologies, or as a companion text for courses on various subjects, such as distributed systems, and grid and cluster computing.