Learning Programming Using Matlab

Author:   Khalid Sayood
Publisher:   Springer International Publishing AG
ISBN:  

9783031008894


Pages:   81
Publication Date:   31 December 2007
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Learning Programming Using Matlab


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Overview

This book is intended for anyone trying to learn the fundamentals of computer programming. The chapters lead the reader through the various steps required for writing a program, introducing the MATLABr® constructs in the process. MATLABr® is used to teach programming because it has a simple programming environment. It has a low initial overhead which allows the novice programmer to begin programming immediately and allows the users to easily debug their programs. This is especially useful for people who have a “mental block” about computers. Although MATLABr® is a high-level language and interactive environment that enables the user to perform computationally intensive tasks faster than with traditional programming languages such as C, C++, and Fortran, the author shows that it can also be used as a programming learning tool for novices. There are a number of exercises at the end of each chapter which should help users become comfortable with the language.

Full Product Details

Author:   Khalid Sayood
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Weight:   0.185kg
ISBN:  

9783031008894


ISBN 10:   3031008898
Pages:   81
Publication Date:   31 December 2007
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.
Language:   English

Table of Contents

Introduction.- Introduction to Programming.- Introduction to MATLAB.- Selecting Between Alternatives.- Loops.- Input and Output.- Functions.

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Author Information

Khalid Sayood is the Henson Professor of Engineering in the Electrical Engineering Department, University of Nebraska - Lincoln. He received his PhD in 1982 from Texas A&M University. His areas of research include: search patterns in data; data compression; joint-source channel coding; and various aspects of bioinformatics.

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