From useful algorithms for slowly convergent series to physical predictions 
based on divergent perturbative expansions

Caliceti, E.; Meyer-Hermann, M.; Ribeca, P.; Surzhykov, A.; Jentschura, U. D.

doi:10.1016/j.physrep.2007.03.003

Item

ITEM ACTIONSEXPORT

Add to Basket

Local TagsRelease HistoryDetailsSummary

Released

Journal Article

From useful algorithms for slowly convergent series to physical predictions based on divergent perturbative expansions

MPS-Authors

/persons/resource/persons31092

Surzhykov, A.
Division Prof. Dr. Christoph H. Keitel, MPI for Nuclear Physics, Max Planck Society;

/persons/resource/persons30634

Jentschura, U. D.
Division Prof. Dr. Christoph H. Keitel, MPI for Nuclear Physics, Max Planck Society;

External Resource

No external resources are shared

Fulltext (restricted access)

There are currently no full texts shared for your IP range.

Fulltext (public)

There are no public fulltexts stored in PuRe

Supplementary Material (public)

There is no public supplementary material available

Citation

Caliceti, E., Meyer-Hermann, M., Ribeca, P., Surzhykov, A., & Jentschura, U. D. (2007). From useful algorithms for slowly convergent series to physical predictions based on divergent perturbative expansions. Physics Reports-Review Section of Physics Letters, 446(1-3), 1-96. doi:10.1016/j.physrep.2007.03.003.

Cite as: https://hdl.handle.net/11858/00-001M-0000-0011-7CC5-0

Abstract

There is no abstract available