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Solutions Manual to accompany An Introduction to Numerical Methods and Analysis [Paperback]

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  • Category: Books (Mathematics)
  • Author:  Epperson, James F.
  • Author:  Epperson, James F.
  • ISBN-10:  1118395131
  • ISBN-10:  1118395131
  • ISBN-13:  9781118395134
  • ISBN-13:  9781118395134
  • Publisher:  Wiley
  • Publisher:  Wiley
  • Pages:  316
  • Pages:  316
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-May-2013
  • Pub Date:  01-May-2013
  • SKU:  1118395131-11-MPOD
  • SKU:  1118395131-11-MPOD
  • Item ID: 101447658
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Jul 10 to Jul 12
  • Notes: Brand New Book. Order Now.

A solutions manual to accompany An Introduction to Numerical Methods and Analysis, Second Edition


An Introduction to Numerical Methods and Analysis, Second Edition reflects the latest trends in the field, includes new material and revised exercises, and offers a unique emphasis on applications. The author clearly explains how to both construct and evaluate approximations for accuracy and performance, which are key skills in a variety of fields. A wide range of higher-level methods and solutions, including new topics such as the roots of polynomials, spectral collocation, finite element ideas, and Clenshaw-Curtis quadrature, are presented from an introductory perspective, and theSecond Edition also features:

  • Chapters and sections that begin with basic, elementary material followed by gradual coverage of more advanced material
  • Exercises ranging from simple hand computations to challenging derivations and minor proofs to programming exercises
  • Widespread exposure and utilization of MATLAB®
  • An appendix that contains proofs of various theorems and other material

1 Introductory Concepts and Calculus Review 1

1.1 Basic Tools of Calculus 1

1.2 Error, Approximate Equality, and Asymptotic Order Notation 12

1.3 A Primer on Computer Arithmetic 15

1.4 A Word on Computer Languages and Software 19

1.5 Simple Approximations 19

1.6 Application: Approximating the Natural Logarithm 22

1.7 A Brief History of Computing 25

2 A Survey ol#;