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Programming with MATLAB for Scientists

Eugeniy E. Mikhailov
€84.99
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algorithm development
Algorithm Error
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automatic-update
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beginner MATLAB programming for scientists
Bet Fraction
Bode Plot
Built Ins
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Category=PBW
Category=PD
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Central Difference Methods
Central Processing Units
COP=United States
Data Set
data visualization techniques
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E. Mikhailov Eugeniy
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Execution Time
False Position
Fourier Series
Fourth Order Runge Kutta Method
Initial Bracket
Inverse Matrix Method
Language_English
LCG
matlab
MATLAB Solver
Merit Function
Method Integral Estimate
Monte Carlo Integration
Nth Order Ode
numerical analysis
Nyquist Frequency
Ode
optimization methods
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Polynomial Interpolation Method
Price_€50 to €100
programming engineers
programming scientists
PS=Active
Rectangle Method
RNG Method
scientific computing
signal processing basics
softlaunch

Product details

  • ISBN 9781498738286
  • Weight: 480g
  • Dimensions: 178 x 254mm
  • Publication Date: 31 Jan 2018
  • Publisher: Taylor & Francis Inc
  • Publication City/Country: US
  • Product Form: Paperback
  • Language: English
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Description

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.
About Eugeniy E. Mikhailov

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.

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