Numerical Methods for Engineers 2e

Features

• Features coding upgraded to the new Fortran 90/95 for all programs
• Offers all source codes for download, along with a free Fortran 90 compiler for PC users
• Contains new programs and associated subroutines that are highly portable and will run on any computer platform, from PCs to mainframes
• Lists nearly fifty programs, many more concise through the use of "libraries" of approximately twenty-five subprograms that are described in the appendices
• Includes many additional exercises and engineering examples
• Offers a solutions manual to qualifying instructors

Summary

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).