Monte Carlo Strategies in Scientific Computing. Liu, J. S Springer. OCLC: 1066196614Paper abstract bibtex This book provides an up-to-date treatment of the Monte Carlo method and develops a common framework under which various Monte Carlo techniques can be ""standardized"" and compared. It can be used as a textbook for a graduate-level course on Monte Carlo methods.
@book{liuMonteCarloStrategies2013,
langid = {english},
location = {{New York, NY}},
title = {Monte {{Carlo Strategies}} in {{Scientific Computing}}.},
isbn = {978-0-387-76371-2},
url = {http://public.eblib.com/choice/publicfullrecord.aspx?p=5575065},
abstract = {This book provides an up-to-date treatment of the Monte Carlo method and develops a common framework under which various Monte Carlo techniques can be ""standardized"" and compared. It can be used as a textbook for a graduate-level course on Monte Carlo methods.},
publisher = {{Springer}},
urldate = {2019-03-13},
date = {2013},
author = {Liu, Jun S},
file = {/home/dimitri/Nextcloud/Zotero/storage/IHHWUG4F/Liu - 2013 - Monte Carlo Strategies in Scientific Computing..pdf},
note = {OCLC: 1066196614}
}
Downloads: 0
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