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Scientific Computing

- Studies & Applications

Om Scientific Computing

Stergios Papadimitriou and Lefteris Moussiades begin Chapter One by comparing and contrasting some aspects of ScalaLab and GroovyLab, the MATLAB-like environments for the Java Virtual Machine. Additionally, this chapter highlights the strengths and weaknesses of the two environments while examining the dilemma of whether to use dynamic typing or static typing for scientific programming. Next, Chapter Two by Marija Mitrovic Dankulov and Jelena Smiljanic express how computational techniques might be used to determine the structure and dynamics of Meetup social groups. Lastly, Vladimir Loncar, Ivana Vasic, and Antun Bala review a numerical algorithm based on the Crank-Nicolson split-step semi implicit method in order to solve the nonlinear partial differential Schrödinger equation.

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  • Språk:
  • Engelska
  • ISBN:
  • 9781536125641
  • Format:
  • Häftad
  • Sidor:
  • 128
  • Utgiven:
  • 1. november 2017
  • Mått:
  • 233x154x12 mm.
  • Vikt:
  • 248 g.
  Fri leverans
Leveranstid: 2-4 veckor
Förväntad leverans: 14. oktober 2025

Beskrivning av Scientific Computing

Stergios Papadimitriou and Lefteris Moussiades begin Chapter One by comparing and contrasting some aspects of ScalaLab and GroovyLab, the MATLAB-like environments for the Java Virtual Machine. Additionally, this chapter highlights the strengths and weaknesses of the two environments while examining the dilemma of whether to use dynamic typing or static typing for scientific programming. Next, Chapter Two by Marija Mitrovic Dankulov and Jelena Smiljanic express how computational techniques might be used to determine the structure and dynamics of Meetup social groups. Lastly, Vladimir Loncar, Ivana Vasic, and Antun Bala review a numerical algorithm based on the Crank-Nicolson split-step semi implicit method in order to solve the nonlinear partial differential Schrödinger equation.

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