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OverviewStergios 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 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. Full Product DetailsAuthor: Caj ErlingPublisher: Nova Science Publishers Inc Imprint: Nova Science Publishers Inc Weight: 0.246kg ISBN: 9781536125641ISBN 10: 1536125644 Pages: 128 Publication Date: 01 November 2017 Audience: College/higher education , Professional and scholarly , Tertiary & Higher Education , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Available To Order ![]() We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsPreface; Exploring the Potential for Scientific Computing on the Java Platform of Scala & Groovy with the Scalalab & Groovylab Environments; The Structure & Dynamics of Meetup Social Networks; Efficient Numerical Tools for Solving the Non-linear Schroedinger Equation; Index.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |