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pro vyhledávání: '"Tim Benham"'
Publikováno v:
Journal of Statistical Software, Vol 76, Iss 1, Pp 1-29 (2017)
The cross-entropy (CE) method is a simple and versatile technique for optimization, based on Kullback-Leibler (or cross-entropy) minimization. The method can be applied to a wide range of optimization tasks, including continuous, discrete, mixed and
Externí odkaz:
https://doaj.org/article/7714fda81729468199e8309954696764
Publikováno v:
Journal of Statistical Software, Vol 76, Iss 1, Pp 1-29 (2017)
Journal of Statistical Software
Journal of Statistical Software, University of California, Los Angeles, 2017, 76 (8), pp.1-29. ⟨10.18637/jss.v076.i08⟩
Journal of Statistical Software; Vol 76 (2017); 1-29
Journal of Statistical Software
Journal of Statistical Software, University of California, Los Angeles, 2017, 76 (8), pp.1-29. ⟨10.18637/jss.v076.i08⟩
Journal of Statistical Software; Vol 76 (2017); 1-29
The cross-entropy (CE) method is simple and versatile technique for optimization, based on Kullback-Leibler (or cross-entropy) minimization. The method can be applied to a wide range of optimization tasks, including continuous, discrete, mixed and co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dbd86bda602cf67e04f89dac61fb04a6
https://www.jstatsoft.org/index.php/jss/article/view/3035
https://www.jstatsoft.org/index.php/jss/article/view/3035