Numerical Computing with MATLAB

A textbook for an introductory course in numerical methods, MATLAB, and technical computing, with an emphasis on the informed use of mathematical software.

**Tag(s):**
Numerical Methods

**Publication date**: 01 Jan 2004

**ISBN-10**:
0898715601

**ISBN-13**:
9780898715606

**Paperback**:
348 pages

**Views**: 25,310

**Type**: N/A

**Publisher**:
Society for Industrial & Applied Mathematics

**License**:
n/a

**Post time**: 01 Nov 2006 11:38:16

Numerical Computing with MATLAB

A textbook for an introductory course in numerical methods, MATLAB, and technical computing, with an emphasis on the informed use of mathematical software.

Terms and Conditions:

Book Excerpts:

This is a textbook for an introductory course in numerical methods, MATLAB, and technical computing, with an emphasis on the informed use of mathematical software. The presentation helps readers learn enough about the mathematical functions in MATLAB to use them correctly, appreciate their limitations, and modify them appropriately.

The book makes extensive use of computer graphics, including interactive graphical expositions of numerical algorithms. It provides more than 70 M-files, which can be downloaded from the book webpage. Many of the numerous exercises involve modifying and extending these programs.

The topics covered include an introduction to MATLAB; linear equations; interpolation; zeros and roots; least squares; quadrature; ordinary differential equations; Fourier analysis; random numbers; eigenvalues and singular values; and partial differential equations. Motivating applications include modern problems from cryptography, touch-tone dialing, Google page-ranking, atmospheric science and image processing, as well as classical problems from physics and engineering.

Intended Audience:

Numerical Computing with Matlab is designed for a one-quarter or one-semester course primarily for students in science and engineering, at the advanced undergraduate or beginning graduate level. Prerequisites are calculus, some familiarity with ordinary differential equations and matrices, and some computer programming experience.

Cleve Moler wrote:Reproduction of single copies of this Web edition is permitted for individual use. Reproduction or distribution of multiple copies is not permitted without permission from the author via e-mail at moler(at)mathworks.com.

Book Excerpts:

This is a textbook for an introductory course in numerical methods, MATLAB, and technical computing, with an emphasis on the informed use of mathematical software. The presentation helps readers learn enough about the mathematical functions in MATLAB to use them correctly, appreciate their limitations, and modify them appropriately.

The book makes extensive use of computer graphics, including interactive graphical expositions of numerical algorithms. It provides more than 70 M-files, which can be downloaded from the book webpage. Many of the numerous exercises involve modifying and extending these programs.

The topics covered include an introduction to MATLAB; linear equations; interpolation; zeros and roots; least squares; quadrature; ordinary differential equations; Fourier analysis; random numbers; eigenvalues and singular values; and partial differential equations. Motivating applications include modern problems from cryptography, touch-tone dialing, Google page-ranking, atmospheric science and image processing, as well as classical problems from physics and engineering.

Intended Audience:

Numerical Computing with Matlab is designed for a one-quarter or one-semester course primarily for students in science and engineering, at the advanced undergraduate or beginning graduate level. Prerequisites are calculus, some familiarity with ordinary differential equations and matrices, and some computer programming experience.

Tweet

About The Author(s)

No information is available for this author.

Book Categories

Computer Science
15
Introduction to Computer Science
32
Introduction to Computer Programming
52
Algorithms and Data Structures
24
Artificial Intelligence
24
Computer Vision
28
Machine Learning
6
Neural Networks
22
Game Development and Multimedia
25
Data Communication and Networks
5
Coding Theory
14
Computer Security
8
Information Security
34
Cryptography
3
Information Theory
17
Computer Organization and Architecture
22
Operating Systems
1
Image Processing
10
Parallel Computing
4
Concurrent Programming
20
Relational Database
3
Document-oriented Database
13
Data Mining
16
Big Data
17
Data Science
23
Digital Libraries
22
Compiler Design and Construction
26
Functional Programming
11
Logic Programming
26
Object Oriented Programming
21
Formal Methods
69
Software Engineering
3
Agile Software Development
7
Information Systems
5
Geographic Information System (GIS)

Mathematics
66
Mathematics
13
Algebra
1
Abstract Algebra
27
Linear Algebra
3
Number Theory
8
Numerical Methods
2
Precalculus
10
Calculus
1
Differential Equations
5
Category Theory
10
Proofs
19
Discrete Mathematics
24
Theory of Computation
14
Graph Theory
1
Real Analysis
1
Complex Analysis
14
Probability
43
Statistics
7
Game Theory
5
Queueing Theory
13
Operations Research
16
Computer Aided Mathematics

Supporting Fields
19
Web Design and Development
1
Mobile App Design and Development
28
System Administration
2
Cloud Computing
9
Electric Circuits
6
Embedded System
26
Signal Processing
4
Network Science
3
Project Management

Operating System
Programming/Scripting
6
Ada
13
Assembly
34
C / C++
8
Common Lisp
2
Forth
35
Java
12
JavaScript
1
Lua
15
Microsoft .NET
1
Rexx
12
Perl
6
PHP
66
Python
12
R
1
Rebol
13
Ruby
2
Scheme
3
Tcl/Tk

Miscellaneous