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Mathematics and Technology / by Christiane Rousseau, Yvan Saint-Aubin
(Springer Undergraduate Texts in Mathematics and Technology. ISSN:18675514)

1st ed. 2008.
出版者 (New York, NY : Springer New York : Imprint: Springer)
出版年 2008
本文言語 英語
大きさ XVI, 582 p. 214 illus : online resource
著者標目 *Rousseau, Christiane author
Saint-Aubin, Yvan author
SpringerLink (Online service)
件 名 LCSH:Mathematical models
LCSH:Engineering mathematics
LCSH:Engineering -- Data processing  全ての件名で検索
LCSH:Mathematics
LCSH:Computer science
LCSH:Probabilities
LCSH:Game theory
FREE:Mathematical Modeling and Industrial Mathematics
FREE:Mathematical and Computational Engineering Applications
FREE:Applications of Mathematics
FREE:Computer Science
FREE:Probability Theory
FREE:Game Theory
一般注記 Positioning on Earth and in Space -- Friezes and Mosaics -- Robotic Motion -- Skeletons and Gamma Ray Radiosurgery -- Savings and Loans -- Error Correcting Codes -- Public Key Cryptography -- Random Number Generators -- Google and the Page Rank Algorithm -- Why 44100 Samples per Second -- Image Compression Iterated Function Systems -- Image Compression The JPEG Standard -- The DNA Computer -- Calculus of Variations -- Science Flashes
Mathematics and Technology presents technological applications of mathematics making use of elegant mathematical concepts. The selected subjects consist of: public key cryptography, error correcting codes, the global positioning system (GPS) and cartography, image compression using fractals and the JPEG format, digital recording, robot movement, DNA computing, Google's PageRank algorithm, savings and loans, gamma ray surgery and random number generators. The authors highlight how mathematical modeling, together with the power of mathematical tools, have been crucial for innovation in technology. The exposition is clear, straightforward, motivated by excellent examples, and user-friendly. Numerous exercises at the end of every chapter reinforce the material. An engaging quality is the various historical notes accompanying the mathematical development. This book is intended mainly for undergraduate students in pure and applied mathematics, physics and computer science, instructors, and high school teachers. The main prerequisites are linear algebra and Euclidean geometry. A few chapters require multivariable calculus and elementary probability theory. A clear indication of the more difficult topics and relatively advanced references make it also suitable for an independent reader mastering the prerequisites
HTTP:URL=https://doi.org/10.1007/978-0-387-69216-6
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Springer eBooks 9780387692166
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EB00230976

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データ種別 電子ブック
分 類 LCC:TA342-343
DC23:003.3
書誌ID 4000118218
ISBN 9780387692166

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