Description

Book Synopsis

Scientific Computing for Scientists and Engineers is designed to teach undergraduate students relevant numerical methods and required fundamentals in scientific computing.

Most problems in science and engineering require the solution of mathematical problems, most of which can only be done on a computer. Accurately approximating those problems requires solving differential equations and linear systems with millions of unknowns, and smart algorithms can be used on computers to reduce calculation times from years to minutes or even seconds. This book explains: How can we approximate these important mathematical processes? How accurate are our approximations? How efficient are our approximations?

Scientific Computing for Scientists and Engineers covers:

  • An introduction to a wide range of numerical methods for linear systems, eigenvalue problems, differential equations, numerical integration, and nonlinear problems;
  • Scientific computing fundamentals like floating point representation of numbers and convergence;
  • Analysis of accuracy and efficiency;
  • Simple programming examples in MATLAB to illustrate the algorithms and to solve real life problems;
  • Exercises to reinforce all topics.

Scientific Computing: For Scientists and

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    A Paperback / softback by Timo Heister, Leo G. Rebholz

    £15.00

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    RRP £20.00 – you save £5.00 (25%)

    Order before 4pm today for delivery by Tue 8 Sep 2026.

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      Book details

      Publisher De Gruyter
      Published 3 April 2023
      ISBN-13 9783110999617
      978-3110999617
      ISBN-10 3110999617
      Also in:
      Computing Maths for computer scientists Science & Nature Maths for scientists Technology, Engineering & Agriculture Maths for engineers

      Description

      Book Synopsis

      Scientific Computing for Scientists and Engineers is designed to teach undergraduate students relevant numerical methods and required fundamentals in scientific computing.

      Most problems in science and engineering require the solution of mathematical problems, most of which can only be done on a computer. Accurately approximating those problems requires solving differential equations and linear systems with millions of unknowns, and smart algorithms can be used on computers to reduce calculation times from years to minutes or even seconds. This book explains: How can we approximate these important mathematical processes? How accurate are our approximations? How efficient are our approximations?

      Scientific Computing for Scientists and Engineers covers:

      • An introduction to a wide range of numerical methods for linear systems, eigenvalue problems, differential equations, numerical integration, and nonlinear problems;
      • Scientific computing fundamentals like floating point representation of numbers and convergence;
      • Analysis of accuracy and efficiency;
      • Simple programming examples in MATLAB to illustrate the algorithms and to solve real life problems;
      • Exercises to reinforce all topics.

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