Algorithmically Solving the Tadpole Problem-Reference-Cited by-同舟云学术

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Algorithmically Solving the Tadpole Problem

Published:2022-01-06 Issue:1 Volume:32 Page:
ISSN:0188-7009
Container-title:Advances in Applied Clifford Algebras
language:en
Short-container-title:Adv. Appl. Clifford Algebras

Author:

Bena Iosif,Blåbäck Johan,Graña Mariana,Lüst Severin^ORCID

Funder

Agence Nationale de la Recherche

European Research Council

John Templeton Foundation

National Science Foundation

Ministero dell’Istruzione, dell’Università e della Ricerca

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics

Link

https://link.springer.com/content/pdf/10.1007/s00006-021-01189-6.pdf

Reference92 articles.

1. AbdusSalam, S., Cicoli, M., Quevedo, F., Shukla, P., Abel, S.: A systematic approach to Kähler moduli stabilisation. JHEP 08(08), 047 (2020). https://doi.org/10.1007/JHEP08(2020)047

2. Abel, S., Rizos, J.: Genetic algorithms and the search for viable string vacua. JHEP 08, 010 (2014). https://doi.org/10.1007/JHEP08(2014)010

3. Ajtai, M.: The shortest vector problem is NP-hard for randomized reductions. In: Electronic Colloquium on Computational Complexity (1997)

4. Ajtai, M.: The shortest vector problem is NP-hard for randomized reductions. In: Proceedings 30th Annual ACM Symposium on Theory of Computing (1998)

5. Akutagawa, T., Hashimoto, K., Sumimoto, T.: Deep learning and AdS/QCD. Phys. Rev. D 102(2), 026020 (2020). https://doi.org/10.1103/PhysRevD.102.026020

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