Skip to main content
King Abdullah University of Science and Technology
Scientific Computing and Machine Learning
Scientific Computing and Machine Learning

Main navigation

  • Home
  • People
    • All Profiles
    • Principal Investigators
    • Research Scientists
    • Postdoctoral Fellows
    • Students
  • Events
    • All Events
    • Events Calendar
  • News
  • KAUST Innovation Hub in Shenzhen
  • Opportunities

LMMs

Extrapolated Linear Multistep Methods

Lajos Lóczi, Research Scientist, Applied Mathematics and Computational Science
Mar 12, 12:00 - 13:00

B9 L2 R2325

ODEs PDEs numerical methods linear multistep methods LMMs

In this talk, we will discuss how linear multistep methods and classical extrapolation can be combined to obtain new classes of efficient time-integration methods.

Scientific Computing and Machine Learning (SCML)

Footer

  • A-Z Directory
    • All Content
    • Browse Related Sites
  • Site Management
    • Log in

© 2025 King Abdullah University of Science and Technology. All rights reserved. Privacy Notice

Disclaimer: The views and opinions expressed in this page are strictly those of the page author. The contents of this page have not been reviewed or approved by the King Abdullah University of Science and Technology.