Scientific Computing: Studies and Applications

Caj Erling (Editor)

Series: Computer Science, Technology and Applications
BISAC: COM014000

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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)

Preface

Chapter 1. Exploring the Potential for Scientific Computing on the Java Platform of Scala and Groovy with the Scalalab and Groovylab Environments (pp. 1-32)
Stergios Papadimitriou and Lefteris Moussiades

Chapter 2. The Structure and Dynamics of Meetup Social Networks (pp. 33-62)
Marija Mitrović Dankulov and Jelena Smiljanić (Scientific Computing Laboratory, Center for the Study of Complex Systems, Institute of Physics Belgrade, University of Belgrade, Serbia)

Chapter 3. Efficient Numerical Tools for Solving the Nonlinear Schrödinger Equation (pp. 63-158)
Vladimir Lončar, Ivana Vasić, and Antun Balaž (Scientific Computing Laboratory, Center for the Study of Complex Systems, Institute of Physics Belgrade, University of Belgrade, Serbia)

Index (pp. 159)

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