Fr. 112.20

Numerical Methods Using Matlab

English · Paperback / Softback

Shipping usually within 3 to 5 weeks

Description

Read more

List of contents

1. An Introduction to MATLAB
2. Linear Equations and Eigensystems
3. Solution of Non-linear Equations
4. Differentiation and Integration
5. Solution of Differential Equations
6. Boundary Value Problems
7. Fitting Functions to Data
8. Optimisation Methods
9. Applications of the Symbolic Toolbox.
Appendix 1: Matrix Algebra
Appendix 2: Error Analysis
Appendix 3: Special Maple Functions
Appendix 4: MATLAB Functions
References
Solutions to Problems
Index

Summary

Suitable for modern numerical methods courses for third and fourth years of study. A good basic reference for postgraduates. Skillfully balancing rigor with practicality, this progressive and visually rich text on using MATLAB software explores how this modern and powerful computing technology can - in an elegant and efficient way - solve exacting and interesting problems that have application in science and industry. Encouraging systematic experimentation, it offers an extensive, hands-on study of MATLAB functions and exposes students to a wide range of numerical algorithms - including optimization and regression analysis with applications of symbolic methods - with full explanations of their fundamental principles and illustrations of their application.

Product details

Authors George Linfield, John Penny
Publisher Pearson Academic
 
Languages English
Product format Paperback / Softback
Released 01.01.1994
 
EAN 9780130309662
ISBN 978-0-13-030966-2
No. of pages 344
Weight 970 g
Series Prentice Hall
Prentice Hall
Subject Natural sciences, medicine, IT, technology > IT, data processing > Application software

Customer reviews

No reviews have been written for this item yet. Write the first review and be helpful to other users when they decide on a purchase.

Write a review

Thumbs up or thumbs down? Write your own review.

For messages to CeDe.ch please use the contact form.

The input fields marked * are obligatory

By submitting this form you agree to our data privacy statement.