TY  - BOOK
AU  - Hinsen,Konrad
ED  - Morgan & Claypool Publishers,
ED  - Institute of Physics (Great Britain),
TI  - Computation in science
T2  - IOP concise physics,
SN  - 9781681740935
AV  - Q172 .H563 2015eb
U1  - 501/.51 23
PY  - 2015///]
CY  - San Rafael [California] (40 Oak Drive, San Rafael, CA, 94903, USA)
PB  - Morgan & Claypool Publishers
KW  - Science
KW  - Mathematics
KW  - SCIENCE / Physics / General
KW  - bicssc
KW  - Physics
KW  - bisacsh
N1  - "Version: 20151201"--Title page verso; "A Morgan & Claypool publication as part of IOP Concise Physics"--Title page verso; Includes bibliographical references; Preface -- 1. What is computation? -- 1.1. Defining computation -- 1.2. The roles of computation in scientific research -- 1.3. Further reading; 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; Graduate and postgraduate professional researchers and engineers; Also available in print
N2  - 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
UR  - https://iopscience.iop.org/book/978-1-6817-4093-5
ER  -