机读格式显示(MARC)

• 000 02738cam a2200373 i 4500

• 001 0000827496

• 005 20250817074000.0

• 008 240420s2025 flua b 001 0 eng

• 010 __ |a 2024006458

• 020 __ |a 9780367671914 |q (hardback)

• 020 __ |a 9780367676605 |q (paperback)

• 020 __ |z 9781003132233 |q (ebook)

• 035 __ |a 23652545

• 040 __ |a LBSOR |b eng |e rda |c LBSOR |d DLC

• 042 __ |a pcc

• 050 00 |a QA76.6 |b .B735 2025

• 082 00 |a 005.13 |2 23/eng/20240506

• 090 __ |a TP312/X1

• 093 __ |a TP312 |2 5

• 100 1_ |a Brieda, Lubos, |e author.

• 245 10 |a Introduction to modern scientific programming and numerical methods / |c Lubos Brieda, Joseph Wang and Robert Martin.

• 250 __ |a First edition.

• 260 __ |a Boca Raton FL : |b CRC Press/Taylor & Francis Group, |c 2025.

• 300 __ |a xx, 454 pages : |b illustrations ; |c 25 cm

• 336 __ |a text |b txt |2 rdacontent

• 337 __ |a unmediated |b n |2 rdamedia

• 338 __ |a volume |b nc |2 rdacarrier

• 504 __ |a Includes bibliographical references (pages 445-447) and index.

• 505 0_ |a Scientific computing basics -- Finite difference and linear algebra -- Numerical analysis -- Introduction to C++ -- Kinetic methods -- Eulerian methods -- Interactive applications -- Software engineering -- High performance computing -- Optimization and machine learning -- Embedded systems.

• 520 __ |a "The ability to use computers to solve mathematical relationships is a fundamental skill for anyone planning for a career in science or engineering. For this reason, numerical analysis is part of the core curriculum for just about every undergraduate physics and engineering department. But for most physics and engineering students, practical programming is a self-taught process. This book introduces the reader not only to the mathematical foundation but also to the programming paradigms encountered in modern hybrid software-hardware scientific computing. After completing the text, the reader will be well-versed in the use of different numerical techniques, programming languages, and hardware architectures, and will be able to select the appropriate software and hardware tool for their analysis. It can serve as a textbook for undergraduate courses on numerical analysis and scientific computing courses within engineering and physical sciences departments. It will also be a valuable guidebook for researchers with experimental backgrounds interested in working with numerical simulations, or to any new personnel working in scientific computing or data analysis"-- |c Provided by publisher.

• 650 _0 |a Computer programming.

• 650 _0 |a Numerical analysis.

• 700 1_ |a Wang, Joseph |q (Joseph Jiong), |e author.

• 700 1_ |a Martin, Robert |q (Robert Scott), |e author.