I consent to Wiley Online Library’s Terms of Use and processing of my personal data as disclosed in Wiley’s Privacy Policy.*I consent to my personal information being transferred outside of the People’s Republic of China as laid out in Wiley’s Privacy Policy.*(Optional) I consent to special offers, newsletter & promotions from Wiley. See Privacy Policy for more details.

Tools

Submit an article
Browse free sample issue

Journal Metrics

Subscribe to this journal

Gesellschaft f. Angewandte Mathematik und Mechanik

GAMM-Mitteilunge is now offering free format submissions

Additional links

About Wiley Online Library

Privacy Policy
Terms of Use
About Cookies
Accessibility
Wiley Research DE&I Statement and Publishing Policies
Developing World Access

Help & Support

Contact Us
Training and Support
DMCA & Reporting Piracy

Opportunities

Subscription Agents
Advertisers & Corporate Partners

Connect with Wiley

The Wiley Network
Wiley Press Room

Copyright © 1999-2025 John Wiley & Sons, Inc or related companies. All rights reserved, including rights for text and data mining and training of artificial intelligence technologies or similar technologies.

Log in to Wiley Online Library

Email or Customer ID

Password

Forgot password?

NEW USER > INSTITUTIONAL LOGIN >

Change Password

Old Password

New Password

Too Short Weak Medium Strong Very Strong Too Long

Your password must have 10 characters or more:

a lower case character,
an upper case character,
a special character
or a digit

Too Short

Password Changed Successfully

Your password has been changed

Create a new account

Returning user

Forgot your password?

Enter your email address below.

Please check your email for instructions on resetting your password. If you do not receive an email within 10 minutes, your email address may not be registered, and you may need to create a new Wiley Online Library account.

Request Username

Can't sign in? Forgot your username?

Enter your email address below and we will send you your username

If the address matches an existing account you will receive an email with instructions to retrieve your username

GAMM-Mitteilungen

Journal list menu

Tools

Follow journal

GAMM-Mitteilungen: Volume 48, Issue 2

ISSUE INFORMATION

Issue Information

ORIGINAL ARTICLE

Sparse graph signals – uncertainty principles and recovery

Nonlocal-to-local convergence for a Cahn–Hilliard tumor growth model

A comparison of classical phenomenological, hybrid neural network, and high performance ROM FE² models for open-cell foams: Efficiency, accuracy, and flexibility

Tools

More from this journal

Special Issue: 95th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM)

Guest Editor(s):

About Wiley Online Library

Help & Support

Opportunities

Connect with Wiley

GAMM-Mitteilungen

Journal list menu

Tools

Follow journal

GAMM-Mitteilungen: Volume 48, Issue 2

Download PDFs

ISSUE INFORMATION

Issue Information

ORIGINAL ARTICLE

Sparse graph signals – uncertainty principles and recovery

Nonlocal-to-local convergence for a Cahn–Hilliard tumor growth model

A comparison of classical phenomenological, hybrid neural network, and high performance ROM FE2 models for open-cell foams: Efficiency, accuracy, and flexibility

Sign up for email alerts

Tools

More from this journal

Special Issue: 95th Annual Meeting of the International Association of Applied Mathematics and Mechanics (GAMM)

Guest Editor(s):

A comparison of classical phenomenological, hybrid neural network, and high performance ROM FE² models for open-cell foams: Efficiency, accuracy, and flexibility