Analytical and Stochastic Modelling Techniques and Applications

22nd International Conference, ASMTA 2015, Albena, Bulgaria, May 26-29, 2015. Proceedings

  • Marco Gribaudo
  • Daniele Manini
  • Anne Remke
Conference proceedings ASMTA 2015

Part of the Lecture Notes in Computer Science book series (LNCS, volume 9081)

Also part of the Programming and Software Engineering book sub series (LNPSE, volume 9081)

Table of contents

  1. Front Matter
    Pages I-X
  2. Alessio Angius, András Horváth, Sami M. Halawani, Omar Barukab, Ab Rahman Ahmad, Gianfranco Balbo
    Pages 15-29
  3. Souymodip Chakraborty, Joost-Pieter Katoen
    Pages 30-42
  4. Ekaterina Evdokimova, Koen De Turck, Sabine Wittevrongel, Dieter Fiems
    Pages 59-72
  5. Jean-Michel Fourneau, Katinka Wolter
    Pages 73-86
  6. Erol Gelenbe, Andrea Marin
    Pages 87-99
  7. Kristóf Attila Horváth, Miklós Telek
    Pages 115-129
  8. Tuan Phung-Duc
    Pages 158-172
  9. Pietro Piazzolla, Gianfranco Ciardo, Andrew Miner
    Pages 188-202
  10. Jasper Vanlerberghe, Joris Walraevens, Tom Maertens, Herwig Bruneel
    Pages 203-216
  11. Back Matter
    Pages 217-217

About these proceedings

Introduction

This book constitutes the refereed proceedings of the 22nd International Conference on Analytical and Stochastic Modelling Techniques and Applications, ASMTA 2015, held in Albena, Bulgaria, in May 2015. The 15 full papers presented in this book were carefully reviewed and selected from numerous submissions. The papers discuss the latest developments in analytical, numerical and simulation algorithms for stochastic systems, including Markov processes, queueing networks, stochastic Petri nets, process algebras, game theory, etc.

Keywords

Adaptive structuring elements Boolean models Computer vision Discrete geometry Discrete topology Dynamic programming Graph algorithms Graph theory Image analysis Image coding Image processing Image segmentation Mathematical optimization Noise reduction Optimization Partial differential equation Path and connectivity Probabilistic inference Stochastic geometry Variational methods

Editors and affiliations

  • Marco Gribaudo
    • 1
  • Daniele Manini
    • 2
  • Anne Remke
    • 3
  1. 1.Politecnico di MilanoMilanoItaly
  2. 2.Università degli Studi di TorinoTorinoItaly
  3. 3.Universität MünsterMünsterGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-18579-8
  • Copyright Information Springer International Publishing Switzerland 2015
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-319-18578-1
  • Online ISBN 978-3-319-18579-8
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • About this book