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Computation in science
Údaje o názvu Computation in science / Konrad Hinsen. [elektronický zdroj] Nakladatel San Rafael [California] (40 Oak Drive, San Rafael, CA, 94903, USA) : Morgan & Claypool Publishers, [2015] Distributor Bristol [England] (Temple Circus, Temple Way, Bristol BS1 6HG, UK) : IOP Publishing, [2015] Fyz.popis 1 online resource (various pagings) : illustrations (some color). ISBN 9781681740935 (online) 9781681742212 mobi Edice [IOP release 2] IOP concise physics, ISSN 2053-2571 Poznámka "Version: 20151201"--Title page verso. "A Morgan & Claypool publication as part of IOP Concise Physics"--Title page verso. Poznámky o skryté bibliografii a rejstřících Includes bibliographical references. Úplný obsah Preface -- 1. What is computation? -- 1.1. Defining computation -- 1.2. The roles of computation in scientific research -- 1.3. Further reading Poznámka o obsahu 2. Computation in science -- 2.1. Traditional science : celestial mechanics -- 2.2. Scientific models and computation -- 2.3. Computation at the interface between observations and models -- 2.4. Computation for developing insight -- 2.5. The impact of computing on science -- 2.6. Further reading. 3. Formalizing computation -- 3.1. From manual computation to rewriting rules -- 3.2. From computing machines to automata theory -- 3.3. Computability -- 3.4. Restricted models of computation -- 3.5. Computational complexity -- 3.6. Computing with numbers -- 3.7. Further reading. 4. Automating computation -- 4.1. Computer architectures -- 4.2. Programming languages -- 4.3. Software engineering -- 4.4. Further reading. 5. Taming complexity -- 5.1. Chaos and complexity in computation -- 5.2. Validation and testing -- 5.3. Abstraction -- 5.4. Managing state -- 5.5. Incidental complexity and technical debt -- 5.6. Further reading. 6. Outlook : scientific knowledge in the digital age -- 6.1. Software as a medium for representing scientific knowledge -- 6.2. Reproducibility -- 6.3. The time scales of scientific progress and computing -- 6.4. Preparing the future -- 6.5. Further reading. Poznámky k dostupnosti Přístup pouze pro oprávněné uživatele Určeno pro Graduate and postgraduate professional researchers and engineers. Poznámky Způsob přístupu: World Wide Web.. Požadavky na systém: Adobe Acrobat Reader. Dal.odpovědnost Morgan & Claypool Publishers, Institute of Physics (Great Britain), Předmět.hesla Science - Mathematics. * SCIENCE / Physics / General. * Physics. Forma, žánr elektronické knihy electronic books Země vyd. Kalifornie Jazyk dok. angličtina Druh dok. Elektronické knihy URL Plný text pro studenty a zaměstnance UPOL 
kniha
Computation in Science provides a theoretical background in computation to scientists who use computational methods. It explains how computing is used in the natural sciences, and provides a high-level overview of those aspects of computer science and software engineering that are most relevant for computational science. The focus is on concepts, results, and applications, rather than on proofs and derivations. The unique feature of this book is that it connects the dots between computational science, the theory of computation and information, and software engineering. It should help scientists to better understand how they use computers in their work, and to how computers work. It is meant to compensate for the general lack of any formal training in computer science and information theory. Readers will learn something that they can use throughout their careers.
Preface -- 1. What is computation? -- 1.1. Defining computation -- 1.2. The roles of computation in scientific research -- 1.3. Further reading2. Computation in science -- 2.1. Traditional science : celestial mechanics -- 2.2. Scientific models and computation -- 2.3. Computation at the interface between observations and models -- 2.4. Computation for developing insight -- 2.5. The impact of computing on science -- 2.6. Further reading3. Formalizing computation -- 3.1. From manual computation to rewriting rules -- 3.2. From computing machines to automata theory -- 3.3. Computability -- 3.4. Restricted models of computation -- 3.5. Computational complexity -- 3.6. Computing with numbers -- 3.7. Further reading4. Automating computation -- 4.1. Computer architectures -- 4.2. Programming languages -- 4.3. Software engineering -- 4.4. Further reading5. Taming complexity -- 5.1. Chaos and complexity in computation -- 5.2. Validation and testing -- 5.3. Abstraction -- 5.4. Managing state -- 5.5. Incidental complexity and technical debt -- 5.6. Further reading6. Outlook : scientific knowledge in the digital age -- 6.1. Software as a medium for representing scientific knowledge -- 6.2. Reproducibility -- 6.3. The time scales of scientific progress and computing -- 6.4. Preparing the future -- 6.5. Further reading.
Počet záznamů: 1