Eugeniy E. Mikhailov

Programming with MATLAB for Scientists (eBook, PDF)

A Beginner's Introduction

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 266
• Erscheinungstermin: 12. Januar 2018
• Englisch
• ISBN-13: 9781498738293
• Artikelnr.: 50919366

Autorenporträt

Eugeniy E. Mikhailov earned his PhD from the Physics Department of Texas A&M University and performed postdoctoral study at MIT. He is now a faculty member in the Department of Physics, College of William and Mary. He has been teaching "Computing for Scientists" to undergraduates in physics, math, and computer science for several years.

Inhaltsangabe

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