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Introduction

  • Armin IskeEmail author
Chapter
  • 1.1k Downloads
Part of the Texts in Applied Mathematics book series (TAM, volume 68)

Abstract

Contemporary applications in computational science and engineering, as well as in finance, require powerful mathematical methods to analyze big data sets. Due to the rapidly growing complexity of relevant application data at limited computational (hardware) capacities, efficient numerical algorithms are required for the simulation of complex systems with only a few parameters. Both the parameter identification and the data assimilation are based on high-performance computational methods to approximately represent mathematical functions.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.Department of MathematicsUniversity of HamburgHamburgGermany

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