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Introduction to MATLAB for Engineers and Scientists : Solutions for Numerical Computation and Modeling / by Sandeep Nagar.

O'Reilly Online Learning: Academic/Public Library Edition Available online

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Format:
Book
Author/Creator:
Nagar, Sandeep, Author.
Language:
English
Subjects (All):
MATLAB.
Programming languages (Electronic computers).
Computer science—Mathematics.
Computer programming.
Programming Languages, Compilers, Interpreters.
Math Applications in Computer Science.
Programming Techniques.
Local Subjects:
Programming Languages, Compilers, Interpreters.
Math Applications in Computer Science.
Programming Techniques.
Physical Description:
1 online resource (XV, 213 p. 26 illus., 25 illus. in color.)
Edition:
1st ed. 2017.
Place of Publication:
Berkeley, CA : Apress : Imprint: Apress, 2017.
System Details:
text file
Summary:
Familiarize yourself with MATLAB using this concise, practical tutorial that is focused on writing code to learn concepts. Starting from the basics, this book covers array-based computing, plotting and working with files, numerical computation formalism, and the primary concepts of approximations. Introduction to MATLAB is useful for industry engineers, researchers, and students who are looking for open-source solutions for numerical computation. In this book you will learn by doing, avoiding technical jargon, which makes the concepts easy to learn. First you’ll see how to run basic calculations, absorbing technical complexities incrementally as you progress toward advanced topics. Throughout, the language is kept simple to ensure that readers at all levels can grasp the concepts. You will: Apply sample code to your engineering or science problems Work with MATLAB arrays, functions, and loops Use MATLAB’s plotting functions for data visualization Solve numerical computing and computational engineering problems with a MATLAB case study.
Contents:
1. Introduction
2. Working with Arrays
3. Plotting
4. Data Accessibility and Persistence
5. Functions and loops
6. Numerical Computing
7. A Numerical Computation Case Study.
Notes:
Includes bibliographical references at the end of each chapters and index.
ISBN:
9781484231890
1484231899
OCLC:
1076922966

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