Zobrazeno 1 - 2
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pro vyhledávání: '"Peter N. Loxley"'
Autor:
Peter N. Loxley, Ka-Wai Cheung
Publikováno v:
Entropy, Vol 25, Iss 2, p 251 (2023)
An informative measurement is the most efficient way to gain information about an unknown state. We present a first-principles derivation of a general-purpose dynamic programming algorithm that returns an optimal sequence of informative measurements
Externí odkaz:
https://doaj.org/article/189c52b7ea5443db98c863a94b2e6116
Autor:
Peter N. Loxley, Ka-Wai Cheung
Publikováno v:
Entropy
Volume 25
Issue 2
Pages: 251
Volume 25
Issue 2
Pages: 251
An informative measurement is the most efficient way to gain information about an unknown state. We present a first-principles derivation of a general-purpose dynamic programming algorithm that returns an optimal sequence of informative measurements
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e099442f8c6b823f847d2c7e4ed0aae3
http://arxiv.org/abs/2109.11808
http://arxiv.org/abs/2109.11808