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Lessons in scientific computing : numerical mathematics, computer technology, and scientific discovery / Norbert Schorghofer.

By: Material type: TextTextPublisher: Boca Raton, FL : CRC Press, Taylor & Francis Group, 2019Description: xiv, 189 pages : illustrations ; 24 cmISBN:
  • 9781138070585
  • 1138070637
  • 9781138070639
  • 1138070580
Subject(s): DDC classification:
  • 502.85 23
LOC classification:
  • Q183.9 .S236 2018
Contents:
Analytical & numerical solutions -- A few concepts from numerical analysis -- Roundoff & number representation -- Programming languages & tools -- Sample problems; building conclusions -- Approximation theory -- Other common computational methods -- Performance basics & computer architectures -- High-performance & parallel computing -- The operation count; numerical linear algebra -- Random numbers & stochastic methods -- Algorithms, data structures, and complexity -- Data -- Building programs for computation and data analysis -- A crash course on partial differential equations -- Reformulated problems.
Summary: "This new book is a modernized, exceptionally broad and intentionally compact introduction to scientific computing. It takes a broad and interdisciplinary approach; numerical methods, computer technology and their interconnections are treated with the goal of facilitating scientific research. Each chapter provides an insightful lesson, and viewpoints from several subject areas are often compounded within a single chapter. The material is written with an eye on usefulness, longevity, and breadth"--
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    Average rating: 4.0 (1 votes)
Holdings
Item type Current library Home library Call number Copy number Status Date due Barcode Item holds
Book Book Ayesha Abed Library General Stacks Ayesha Abed Library General Stacks 502.85 SCH (Browse shelf(Opens below)) 1 Available 3010034333
Total holds: 0

Includes bibliographical references and index.

Analytical & numerical solutions -- A few concepts from numerical analysis -- Roundoff & number representation -- Programming languages & tools -- Sample problems; building conclusions -- Approximation theory -- Other common computational methods -- Performance basics & computer architectures -- High-performance & parallel computing -- The operation count; numerical linear algebra -- Random numbers & stochastic methods -- Algorithms, data structures, and complexity -- Data -- Building programs for computation and data analysis -- A crash course on partial differential equations -- Reformulated problems.

"This new book is a modernized, exceptionally broad and intentionally compact introduction to scientific computing. It takes a broad and interdisciplinary approach; numerical methods, computer technology and their interconnections are treated with the goal of facilitating scientific research. Each chapter provides an insightful lesson, and viewpoints from several subject areas are often compounded within a single chapter. The material is written with an eye on usefulness, longevity, and breadth"--

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