Convergence Acceleration Techniques
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2002
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| Subjects: | |
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| _version_ | 1866908599991664640 |
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| author | Jentschura, U. D. Aksenov, S. V. Mohr, P. J. Savageau, M. A. Soff, G. |
| author_facet | Jentschura, U. D. Aksenov, S. V. Mohr, P. J. Savageau, M. A. Soff, G. |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_math_0202009 |
| institution | arXiv |
| publishDate | 2002 |
| record_format | arxiv |
| spellingShingle | Convergence Acceleration Techniques Jentschura, U. D. Aksenov, S. V. Mohr, P. J. Savageau, M. A. Soff, G. Numerical Analysis Mathematical Physics 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. |
| title | Convergence Acceleration Techniques |
| topic | Numerical Analysis Mathematical Physics |
| url | https://arxiv.org/abs/math/0202009 |