Minimize the Error of the Numerical Differentiation

It is well known that numerical derivative contains two types of errors. Jengnan Tzeng discusses a new method that estimates truncation error and rounding error at the same time for a given step size.

Read the Study

Image courtesy of interviewee

Leave a Reply

Your email address will not be published.

Guest visitors to the Faculti website can view any insight monthly. You have insight(s) remaining for this month

Register for free as an individual and view thousands of insights in our archive today or subscribe for subject access.

You may already have institutional access to Faculti. Please access Faculti using your institution credentials.

Copyright © Faculti Media Limited 2022. All rights reserved.
Recommend Faculti to your librarian