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An Introduction to Matlab

In many professions, you need programming skills. This book introduces you to a program called Matlab, which is one of the most popular choices for quantitative analysis in fields such as engineering, statistics, economics/finance, and artificial intelligence, to name a few. It will give you the tools to get started whether you are a student, a researcher, or a practitioner.
This is a beginner’s book and it does not assume that you have any previous knowledge of programming. Basic concepts are described at length and, particularly in the beginning, we explain step-by-step how to start using the program. However, we do assume that you have Matlab installed and that you have at least an average level of general computer experience. Having used Excel, or some other spreadsheet program, is of some help in learning Matlab. Knowledge of statistical software, such as Stata, SAS, or EViews, is also beneficial, although Matlab is not a statistics program. One difference is that these programs largely rely on predefined routines for statistical analysis, whereas Matlab often requires you to define your own routines. Another major difference is that matrix algebra is at the heart of Matlab, but peripheral and seldom used in the other programs. Previous knowledge of matrix algebra is, consequently, very useful when learning Matlab. Naturally, we also assume that you have mathematical knowledge corresponding to university level.
In this book, you will learn how to solve simple quantitative problems using Matlab. This includes how to load data into the program, how to do your own programming, and how to present results in graphs. Last, you will learn some error checking techniques and how to find help

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Detail Information
Series Title
Miltiadis A. Boboulos
Call Number
-
Publisher
: .,
Collation
1-118
Language
English
ISBN/ISSN
978-87-403-0283-7
Classification
NONE
Content Type
-
Media Type
-
Carrier Type
-
Edition
1st Edtion
Subject(s)
Information Technology
Specific Detail Info
-
Statement of Responsibility
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