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Programming with MATLAB for Scientists : A Beginner’s Introduction

✍ Scribed by Mikhailov, Eugeniy E


Publisher
CRC Press
Year
2018
Tongue
English
Leaves
265
Edition
First edition
Category
Library

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✦ Synopsis


"This book offers an introduction to the basics of MATLAB programming to scientists and engineers. The author leads with engaging examples to build a working knowledge, specifically geared to those with science and engineering backgrounds. The reader is empowered to model and simulate real systems, as well as present and analyze everyday data sets. In order to achieve those goals, the contents bypass excessive Read more...


Abstract: "This book offers an introduction to the basics of MATLAB programming to scientists and engineers. The author leads with engaging examples to build a working knowledge, specifically geared to those with science and engineering backgrounds. The reader is empowered to model and simulate real systems, as well as present and analyze everyday data sets. In order to achieve those goals, the contents bypass excessive "under the hood" details, and instead gets right down to the essential, practical foundations for successful programming and modeling. Readers will benefit from the following features:Teaches programming to scientists and engineers using a problem-based approach, leading with illustrative and interesting examples.Emphasizes a hands-on approach, with "must know" information and minimal technical details.Utilizes examples from science and engineering to showcase the application of learned concepts on real problems.Showcases modeling of real systems, gradually advancing from simpler to more challenging problems.Highlights the practical uses of data processing and analysis in everyday life."--Provided by publisher

✦ Table of Contents


Content: COMPUTING ESSENTIALS. Computers and programming languages introduction. Introduction to MATLAB. Boolean algebra, conditional statements, loops. Functions and scripts. SOLVING EVERYDAY PROBLEMS WITH MATLAB. System of linear algebraic equations. Data reduction and fitting. Root finding. Sorting. Numerical integration. Data interpolation. EXPANDING THE SCIENTIST TOOLBOX. Monte Carlo simulations. Optimization problem. Ordinary Differential equations. Discrete Fourier Transform. Digital filters

✦ Subjects


General Physics.;Mathematics & Statistics for Engineers.;Computation.;MATHnetBASE.;PHYSICSnetBASE.;SCI-TECHnetBASE.;COMPUTERSCIENCEnetBASE.;INFORMATIONSCIENCEnetBASE.;STMnetBASE.


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