Scientific computing : studies and applications
AUTHOR : –
CALL NO : Q183.9 S416 2017
IMPRINT : New York : Nova Science, c2017
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 Mitrović Dankulov and Jelena Smiljanić express how computational techniques might be used to determine the structure and dynamics of Meetup social groups. Lastly, Vladimir Lončar, Ivana Vasić, and Antun Balaž review parallel numerical algorithms and programs based on the Crank-Nicolson split-step semi-implicit method in order to solve the nonlinear partial differential equations of the Schrödinger type. (Imprint: Nova)
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