Description

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 Engineers

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£20.00

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Usually despatched within 3 days
Paperback / softback by Timo Heister , Leo G. Rebholz

1 in stock

Short Description:

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

    Publisher: De Gruyter
    Publication Date: 03/04/2023
    ISBN13: 9783110999617, 978-3110999617
    ISBN10: 3110999617

    Number of Pages: 184

    Non Fiction , Mathematics & Science , Education

    Description

    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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