Skip to content
Back Home
  • People
  • RESEARCH & INNOVATION
    • Research Areas
    • FUNDED PROJECTS
    • Reports and books
  • Education
    • Computational Science & Computational Learning (CSCL)
    • Statistical Learning (STAT)
  • DISSEMINATION
    • Mox Colloquia
    • MOX SEMINARS
    • Conferences and Workshops
  • Societal Outreach
  • Media
    • News
    • PRESS
    • YouTube Channel
  • Search
Back Home
  • Search
  • People
  • RESEARCH & INNOVATION
    • Research Areas
    • FUNDED PROJECTS
    • Reports and books
  • Education
    • Computational Science & Computational Learning (CSCL)
    • Statistical Learning (STAT)
  • DISSEMINATION
    • Mox Colloquia
    • MOX SEMINARS
    • Conferences and Workshops
  • Societal Outreach
  • Media
    • News
    • PRESS
    • YouTube Channel
Home » sc4i » MOX report on implicit multirate ODE methods
sc4i SC4I News

MOX report on implicit multirate ODE methods

by Nicola Parolini|Published January 21, 2019

 

Francesco Casella of DEIB-Polimi along with Luca Bonaventura and other group members published a report on implicit multirate methods for stiff ODE problems, reporting the first application of implicit multirate approaches to nonlinear hyperbolic problems. The report can be downloaded here

https://www.mate.polimi.it/biblioteca/add/qmox/08-2018.pdf

  • ODE methods
  • Stiff problems

You may also like

Published January 24, 2018

Poster presentation at IPAC 2018

Abele Simona, PhD student at MOX and group member, along with other group members and co-authors at CEA,  Saclay, presented results of […]

Published April 12, 2026

🎉 The MOOC “Computational Science & Computational Learning with Python and MATLAB – Hands-On Projects from Applied Science & Engineering” is now live!

After more than a year of dedicated work, we’re excited to finally share that our MOOC  “Computational Science & Computational Learning with […]

Published March 30, 2022

Innovative topology optimization techniques for the design of 3D-printable structures and materials

In collaboration with Thales Alenia Space Italia, MOX has developed a new technology based on advanced mathematical algorithms for the topology optimization […]

ESCAPE-2 Workshop
Published January 19, 2019

ESCAPE-2 Workshop

A workshop devoted to Fault tolerant algorithms and resiliency approaches for exascale computing was organized by SC4I at MOX on January 23-24 2019 in […]

  • SC4I
    • People
    • Projects
    • Publications
    • Seminars

Post navigation

  • Previous post MOX report on particle tracking in quadrupoles
  • Back to post list
  • Next post Scientific Reports Paper on Parameter Extraction for Organic Semiconductors
      

© 2022 MOX Politecnico di Milano – Dipartimento di Matematica – Via Bonardi, n 9 – 20133 Milano – P.IVA 04376620151 – C.F. 80057930150

Privacy Policy

Cookie Policy

Contacts

Mail address:
p.za Leonardo da Vinci 32
20133 Milano
Phone: +39 02 2399 4611
Web site: mox.polimi.it
E-mail: lab-mox@polimi.it
E-mail: segreteria-mox@polimi.it