Abstract
This work describes numerical methods that are useful in many areas: examples include statistical modelling (bioinformatics, computational biology), theoretical physics, and even pure mathematics. The methods are primarily useful for the acceleration of slowly convergent and the summation of divergent series that are ubiquitous in relevant applications. The computing time is reduced in many cases by orders of magnitude.
| Original language | English (US) |
|---|---|
| Title of host publication | 2003 Nanotechnology Conference and Trade Show - Nanotech 2003 |
| Editors | M. Laudon, B. Romanowicz |
| Pages | 535-537 |
| Number of pages | 3 |
| Volume | 2 |
| State | Published - 2003 |
| Externally published | Yes |
| Event | 2003 Nanotechnology Conference and Trade Show - Nanotech 2003 - San Francisco, CA, United States Duration: Feb 23 2003 → Feb 27 2003 |
Other
| Other | 2003 Nanotechnology Conference and Trade Show - Nanotech 2003 |
|---|---|
| Country | United States |
| City | San Francisco, CA |
| Period | 2/23/03 → 2/27/03 |
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Keywords
- Computational techniques
- Numerical approximation and analysis
ASJC Scopus subject areas
- Engineering(all)
Cite this
Convergence acceleration techniques. / Jentschura, U. D.; Aksenov, S. V.; Mohr, P. J.; Savageau, M. A.; Soff, G.
2003 Nanotechnology Conference and Trade Show - Nanotech 2003. ed. / M. Laudon; B. Romanowicz. Vol. 2 2003. p. 535-537.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Convergence acceleration techniques
AU - Jentschura, U. D.
AU - Aksenov, S. V.
AU - Mohr, P. J.
AU - Savageau, M. A.
AU - Soff, G.
PY - 2003
Y1 - 2003
N2 - This work describes numerical methods that are useful in many areas: examples include statistical modelling (bioinformatics, computational biology), theoretical physics, and even pure mathematics. The methods are primarily useful for the acceleration of slowly convergent and the summation of divergent series that are ubiquitous in relevant applications. The computing time is reduced in many cases by orders of magnitude.
AB - This work describes numerical methods that are useful in many areas: examples include statistical modelling (bioinformatics, computational biology), theoretical physics, and even pure mathematics. The methods are primarily useful for the acceleration of slowly convergent and the summation of divergent series that are ubiquitous in relevant applications. The computing time is reduced in many cases by orders of magnitude.
KW - Computational techniques
KW - Numerical approximation and analysis
UR - http://www.scopus.com/inward/record.url?scp=6344285430&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=6344285430&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:6344285430
SN - 0972842209
VL - 2
SP - 535
EP - 537
BT - 2003 Nanotechnology Conference and Trade Show - Nanotech 2003
A2 - Laudon, M.
A2 - Romanowicz, B.
ER -