Lessons in scientific computing : numerical mathematics, computer technology, and scientific discovery
Schorghofer, Norbert
Lessons in scientific computing : numerical mathematics, computer technology, and scientific discovery - Boca Raton, FL : CRC Press, Taylor & Francis Group, 2019. - xiv, 189 pages : 31 B/W Illustrations
Includes bibliographical references and index.
Taking an interdisciplinary approach, this new book provides a modern introduction to scientific computing, exploring numerical methods, computer technology, and their interconnections, which are treated with the goal of facilitating scientific research across all disciplines. Each chapter provides an insightful lesson and viewpoints from several subject areas are often compounded within a single chapter. Written with an eye on usefulness, longevity, and breadth, Lessons in Scientific Computing will serve as a "one stop shop" for students taking a unified course in scientific computing, or seeking a single cohesive text spanning multiple courses.
9781138070639
Science--Mathematics--Data processing.
Numerical analysis--Data processing.
Computational numerical analysis
Computational physics
004 / SCH-L
Lessons in scientific computing : numerical mathematics, computer technology, and scientific discovery - Boca Raton, FL : CRC Press, Taylor & Francis Group, 2019. - xiv, 189 pages : 31 B/W Illustrations
Includes bibliographical references and index.
Taking an interdisciplinary approach, this new book provides a modern introduction to scientific computing, exploring numerical methods, computer technology, and their interconnections, which are treated with the goal of facilitating scientific research across all disciplines. Each chapter provides an insightful lesson and viewpoints from several subject areas are often compounded within a single chapter. Written with an eye on usefulness, longevity, and breadth, Lessons in Scientific Computing will serve as a "one stop shop" for students taking a unified course in scientific computing, or seeking a single cohesive text spanning multiple courses.
9781138070639
Science--Mathematics--Data processing.
Numerical analysis--Data processing.
Computational numerical analysis
Computational physics
004 / SCH-L
