The Role and Importance of Mathematics in Innovation

Proceedings of the Forum “Math-for-Industry” 2015

  • Bob Anderssen
  • Philip Broadbridge
  • Yasuhide Fukumoto
  • Naoyuki Kamiyama
  • Yoshihiro Mizoguchi
  • Konrad Polthier
  • Osamu Saeki

Part of the Mathematics for Industry book series (MFI, volume 25)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Takayuki Osogami
    Pages 1-10
  3. Dmitry Nikolayevich Znamenskiy
    Pages 11-24
  4. Takashi Suzuki, Keiko Itano, Rong Zou, Ryo Iwamoto, Eisuke Mekada
    Pages 25-34
  5. Mary R. Myerscough, David S. Khoury, Sean Ronzani, Andrew B. Barron
    Pages 35-50
  6. Yuichiro Yasui, Katsuki Fujisawa
    Pages 61-75
  7. Avradip Mandal, Arnab Roy
    Pages 103-105
  8. Takenobu Seito
    Pages 107-115
  9. Taehyun Rhee, Patrick Lui, J. P. Lewis
    Pages 143-147
  10. Back Matter
    Pages 175-176

About these proceedings


This book is a collection of papers presented at the “Forum Math-for-Industry 2015” for which the unifying theme was “The Role and Importance of Mathematics in Innovation”, held at the Institute of Mathematics for Industry, Kyushu University, October 26–30, 2015. The theme highlights two key roles that mathematics plays in supporting innovation in science, technology, and daily life, namely, needs-based and idea-based. For the former, mathematics assists with sorting through the possibilities and putting matters on a more rigorous foundation, and for the latter, mathematical models of the possible implementations play a key role. The book gives excellent examples of how mathematics assists with stimulating innovation and, thereby, highlights the importance and relevance of the concept Mathematics_FOR_Industry. The contents of this volume address productive and successful interaction between industry and mathematicians, as well as the cross-fertilization and collaboration that result when mathematics is involved with the advancement of science and technology.


Geometry and topology applicable to industry Computer-assisted mathematics Mathematical modelling for industry Post-quantum cryptography OR applied to social problems

Editors and affiliations

  • Bob Anderssen
    • 1
  • Philip Broadbridge
    • 2
  • Yasuhide Fukumoto
    • 3
  • Naoyuki Kamiyama
    • 4
  • Yoshihiro Mizoguchi
    • 5
  • Konrad Polthier
    • 6
  • Osamu Saeki
    • 7
  1. 1.Informatics and StatisticsCSIRO Mathematics Informatics and StatisticsCanberraAustralia
  2. 2.Mathematics & Statistics DeptLa Trobe Univ Mathematics & Statistics DeptBundooraAustralia
  3. 3.Inst of Math for IndustryKyushu University Inst of Math for IndustryFukuokaJapan
  4. 4.Inst of Math for IndustryKyushu UniversityFukuokaJapan
  5. 5.Inst of Math for IndustryKyushu University Inst of Math for IndustryFukuokaJapan
  6. 6.AG Mathematical Geometry ProcessingFreie Univ Berlin AG Mathematical Geometry ProcessingBerlinGermany
  7. 7.Inst of Math for IndustryKyushu University Inst of Math for IndustryFukuokaJapan

Bibliographic information

  • DOI
  • Copyright Information Springer Science+Business Media Singapore 2017
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering
  • Print ISBN 978-981-10-0961-7
  • Online ISBN 978-981-10-0962-4
  • Series Print ISSN 2198-350X
  • Series Online ISSN 2198-3518
  • About this book