About this book series

The MSSET series publishes advanced textbooks, expository monographs, problem-solving guides, handbooks, and general references. Books focus on modeling and simulation in applied sciences, engineering, and technology. The goal is to create a bridge between applied mathematicians, scientists, and engineers utilizing modeling and simulation methods and tools for complex-problem solving. The general framework is that of applied and industrial mathematics, computational analysis, and computational engineering.

The series provides science and engineering readers with the essential (and practical) information on modeling and simulation methods and guidelines for formulating and solving complex problems.

Key Topics and Focus Areas:
  • Mathematical modeling and computational analysis in applied sciences, engineering, economics, applied physics, biology, chemistry, medicine, life sciences
  • Algorithms for scientific computations of practical utility and methods for recovering both qualitative and quantitative information
  • Dynamical systems models and methods
  • Computational methods in applied sciences and engineering
  • Modeling applications with ODEs and PDEs
  • Fluid mechanics, solid mechanics, and fluid-structure interaction
  • Multiscale methods and computational analysis

Readership

The series targets graduate students, researchers, and practicing scientists and engineers, working in all disciplines of applied sciences and engineering. It strives for an accessible presentation style that provides the necessary technical background to a diverse, interdisciplinary readership.

Indexing

All titles published in the series are indexed by Scopus. In the past 10 years, 18 titles from the series have been selected for indexing in Web of Science.

Series Editors

Nicola Bellomo, Politecnico di Torino and Collegio Carlo Alberto, Torino, Italy
Tayfun E. Tezduyar, Department of Mechanical Engineering, Rice University, Houston, TX, USA and Waseda University, Tokyo, Japan

Editorial Advisory Board

Kazuo Aoki, National Taiwan University, Taipei, Taiwan
Yuri Bazilevs, Brown University, Providence, RI, USA
Mark Chaplain, St. Andrews University, St. Andrews, Scotland, UK
Pierre Degond, Imperial College of London, UK
Andreas Deutsch, Technische Universität Dresden, Germany
Livio Gibelli, University of Edinburgh, Scotland, UK
Miguel Angel Herrero, Universidad Complutense de Madrid, Spain
Thomas J.R. Hughes, University of Texas at Austin, TX, USA
Petros Koumoutsakos, ETH, Zürich, Switzerland
Andrea Prosperetti, Cullen School of Engineering, University of Houston, TX, USA
K.R. Rajagopal, Texas A&M University, College Station, TX, USA
Kenji Takizawa, Waseda University, Tokyo, Japan
Youshan Tao, Dong Hua University, Shanghai, China
Harald van Brummelen, Eindhoven University of Technology, Eindhoven, The Netherlands
Electronic ISSN
2164-3725
Print ISSN
2164-3679
Series Editor
  • Nicola Bellomo,
  • Tayfun E. Tezduyar

Book titles in this series

  1. Crowd Dynamics, Volume 4

    Analytics and Human Factors in Crowd Modeling

    Editors:
    • Nicola Bellomo
    • Livio Gibelli
    • Copyright: 2023

    Available Renditions

    • Hard cover
    • eBook

Abstracted and indexed in

  1. Mathematical Reviews
  2. SCImago
  3. SCOPUS
  4. zbMATH