MTU Library Catalogue

Syndetics cover image
Image from Syndetics

Applied numerical methods with MATLAB for engineers and scientists / Steven C. Chapra.

By: Chapra, Steven C.
Material type: materialTypeLabelBookPublisher: Boston : McGraw-Hill Higher Education, c2008Edition: 2nd ed.Description: xx, 588 p. : ill. ; 25 cm. + pbk.ISBN: 007313290X ; 9780073132907; 9780071259217; 007125921X .Subject(s): MATLAB -- Textbooks | Numerical analysis -- Data processing -- TextbooksDDC classification: 518
Contents:
Part one: Modeling, computers and error analysis -- Part two: Roots and optimization -- Part three: Linear systems -- Part four: Curve fitting -- Part five: Integration and differentiation -- Part six: Ordinary differential equations.
Holdings
Item type Current library Call number Copy number Status Barcode
General lending MTU Bishopstown Library Lending 518 (Browse shelf(Opens below)) 1 Available 00132075
General lending MTU Bishopstown Library Lending 518 (Browse shelf(Opens below)) 1 Available 00132077
Total holds: 0

Enhanced descriptions from Syndetics:

Still brief - but with the chapters that you wanted - Steven Chapra&'s new second edition is written for engineering and science students who need to learn numerical problem solving. This text focuses on problem-solving applications rather than theory, using MATLAB throughout. Theory is introduced to inform key concepts which are framed in applications and demonstrated using MATLAB. The new second edition feature new chapters on Numerical Differentiation, Optimization, and Boundary-Value Problems (ODEs).

Bibliography (page 579) and index.

Part one: Modeling, computers and error analysis -- Part two: Roots and optimization -- Part three: Linear systems -- Part four: Curve fitting -- Part five: Integration and differentiation -- Part six: Ordinary differential equations.

CIT Module MATH 7003 - Supplementary reading

CIT Module MATH 7015 - Core reading

CIT Module MATH 7016 - Core reading

Table of contents provided by Syndetics

  • Part 1 Modeling, Computers, and Error Analysis
  • 1 Mathematical Modeling Numerical Methods and Problem Solving
  • 2 Matlab Fundamentals
  • 3 Programming with Matlab
  • 4 Roundoff and Trunication Errors
  • Part 2 Roots and Optimization
  • 5 Roots: Bracketing Methods
  • 6 Roots: Open Methods
  • 7 Optimization
  • Part 3 Linear Systems
  • 8 Linear Algebraic Equations and Matrices
  • 9 Gauss Elimination
  • 10 LU Factorization
  • 11 Matrix Inverse and Condition
  • 12 Iterative Methods
  • Part 4 Curve Fitting
  • 13 Linear Regression
  • 14 General Linear Least-Squares and Non-Linear Regression
  • 15 Polynomial Interpolation
  • 16 Splines and Piecewise Interpolation
  • Part 5 Integration and Differentiation
  • 17 Numerical Integration Formulas
  • 18 Numerical Integration of Functions
  • 19 Numerical Differentiation
  • Part 6 Ordinary Differential Equations
  • 20 Initial-Value Problems
  • 21 Adaptive Methods and Stiff Systems
  • 22 Boundary-Value Problems
  • Appendix A Eigenvalues
  • Appendix B MATLAB Built-in Functions
  • Appendix C MATLAB M-File Functions
  • Bibliography
  • Index