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Numerical Methods for Engineers

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A01=D. Vaughan Griffiths
A01=I.M. Smith
advanced engineering problem solving
Author_D. Vaughan Griffiths
Author_I.M. Smith
Category=PBKS
Category=UM
computational mathematics
eigenvalue computation
eq_bestseller
eq_computing
eq_isMigrated=1
eq_nobargain
eq_non-fiction
finite difference methods
Fortran programming
nonlinear equation solvers
numerical integration techniques

Product details

  • ISBN 9780367390662
  • Weight: 694g
  • Dimensions: 156 x 234mm
  • Publication Date: 19 Sep 2019
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Paperback
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Although pseudocodes, Mathematica®, and MATLAB® illustrate how algorithms work, designers of engineering systems write the vast majority of large computer programs in the Fortran language. Using Fortran 95 to solve a range of practical engineering problems, Numerical Methods for Engineers, Second Edition provides an introduction to numerical methods, incorporating theory with concrete computing exercises and programmed examples of the techniques presented.

Covering a wide range of numerical applications that have immediate relevancy for engineers, the book describes forty-nine programs in Fortran 95. Many of the programs discussed use a sub-program library called nm_lib that holds twenty-three subroutines and functions. In addition, there is a precision module that controls the precision of calculations.

Well-respected in their field, the authors discuss a variety of numerical topics related to engineering. Some of the chapter features include…

  • The numerical solution of sets of linear algebraic equations
  • Roots of single nonlinear equations and sets of nonlinear equations
  • Numerical quadrature, or numerical evaluation of integrals
  • An introduction to the solution of partial differential equations using finite difference and finite element approaches

    Describing concise programs that are constructed using sub-programs wherever possible, this book presents many different contexts of numerical analysis, forming an excellent introduction to more comprehensive subroutine libraries such as the numerical algorithm group (NAG).
  • Griffiths, D. Vaughan; Smith, I.M.

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