Reducing ranking effects in parallel adaptive quadrature
Conference
·
OSTI ID:125513
- Southern Methodist Univ., Dallas, TX (United States)
We develop parallel one-dimensional globally adaptive quadrature algorithms, building on NAG code D01AKF. Our most effective strategy replaces D01AKF`s error estimate ranking strategy by a tabulation approach. D01AKF uses 61-point Gauss-Kronrod (GK) quadrature. We also use the 21-point GK rule. A fuller discussion, with expanded results, is given in.
- OSTI ID:
- 125513
- Report Number(s):
- CONF-950212--
- Country of Publication:
- United States
- Language:
- English
Similar Records
The selection of fixed-order quadratures in point-kernel shielding calculations
A new algorithm for computing multivariate Gauss-like quadrature points.
Compressed sparse tensor based quadrature for vibrational quantum mechanics integrals
Journal Article
·
Sun Dec 31 23:00:00 EST 1995
· Nuclear Technology
·
OSTI ID:201353
A new algorithm for computing multivariate Gauss-like quadrature points.
Conference
·
Tue Jun 01 00:00:00 EDT 2004
·
OSTI ID:957270
Compressed sparse tensor based quadrature for vibrational quantum mechanics integrals
Journal Article
·
Tue Mar 20 00:00:00 EDT 2018
· Computer Methods in Applied Mechanics and Engineering
·
OSTI ID:1429500