Computer Science – Numerical Analysis
Scientific paper
2010-03-24
Computer Science
Numerical Analysis
Submitted to ACM Computing Surveys
Scientific paper
The most critical component of any adaptive numerical quadrature routine is the estimation of the integration error. Since the publication of the first algorithms in the 1960s, many error estimation schemes have been presented, evaluated and discussed. This paper presents a review of existing error estimation techniques and discusses their differences and their common features. Some common shortcomings of these algorithms are discussed and a new general error estimation technique is presented.
No associations
LandOfFree
A Review of Error Estimation in Adaptive Quadrature does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with A Review of Error Estimation in Adaptive Quadrature, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and A Review of Error Estimation in Adaptive Quadrature will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-57094