Hoffman, Joe E. : Purdue University, West Lafayette, Indiana
Summary
Ideal for primary or secondary courses in numerical methods for second semester college sophomores through graduate
students with backgrounds in calculus and differential equations, and an introduction to partial differential equations.
Emphasizing the finite difference approach for solving differential equations, the Second Edition of Numerical
Methods for Engineers and Scientists presents a methodology for systematically constructing individual computer
programs, beginning each chapter with objectives, a discussion of a representative application, and an outline
of special features, and summing up with a list of tasks students should be able to complete after reading the
chapter�perfect as a study guide or review!
NEWLY FEATURED in the Second Edition:
more problem-solving methods and clearer identification of the pitfalls of using selected algorithms
greater emphasis on practical solutions and less on theoretical abstraction
updated chapters on elliptic, parabolic, and hyperbolic partial differential equations
new consideration of the finite element method for solving differential equations
FORTRAN programs for implementing algorithms developed in each chapter with subroutines written in pseudocode
adaptable to other programming languages
over 2600 featured mathematical expressions
and more!
Finding rapid, accurate solutions to complex scientific and engineering problems, Numerical Methods for Engineers
and Scientists, Second Edition is an outstanding text for undergraduate and first-year graduate courses in numerical
methods and numerical analysis, and is essential reading for mechanical, civil, architectural, plant, process,
aeronautical, manufacturing, plastics, quality control, reliability, and design engineers, as well as computer
scientists.
Table of Contents
Introduction
Basic Tools of Numerical Analysis
Systems of Linear Algebraic Equations
Eigenproblems
Roots of Nonlinear Equations
Polynomial Approximation and Interpolation
Numerical Differentiation and Difference Formulas
Numerical Integration
