Zobrazeno 1 - 10
of 55
pro vyhledávání: '"Lewis Ntaimo"'
Publikováno v:
PLoS ONE, Vol 17, Iss 7, p e0270524 (2022)
We develop a new stochastic programming methodology for determining optimal vaccination policies for a multi-community heterogeneous population. An optimal policy provides the minimum number of vaccinations required to drive post-vaccination reproduc
Externí odkaz:
https://doaj.org/article/a3fcbe280feb4b14a8ab6df81af7e350
Publikováno v:
Forests, Vol 6, Iss 6, Pp 2148-2162 (2015)
This work considers a two-stage stochastic integer programming (SIP) approach for optimizing fuel treatment planning under uncertainty in weather and fire occurrence for rural forests. Given a set of areas for potentially performing fuel treatment, t
Externí odkaz:
https://doaj.org/article/bdb6351a5c604fc2a0661c31266ff786
Autor:
Saravanan Venkatachalam, Lewis Ntaimo
Publikováno v:
Computational Optimization and Applications. 85:181-211
Two-stage stochastic mixed-integer programming (SMIP) problems with general integer variables in the second-stage are generally difficult to solve. This paper develops the theory of integer set reduction for characterizing the subset of the convex hu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4412f29a6d1de046255b0aad3891ebf7
https://doi.org/10.1007/s10589-023-00457-4
https://doi.org/10.1007/s10589-023-00457-4
Publikováno v:
Operations Research Letters. 50:137-144
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3a8ef6f824165775d86ff92e87a06e19
https://doi.org/10.1016/j.orl.2022.01.008
https://doi.org/10.1016/j.orl.2022.01.008
Publikováno v:
Socio-Economic Planning Sciences. 87:101547
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b7771db3c3abd19197c6c24805b39546
https://doi.org/10.1016/j.seps.2023.101547
https://doi.org/10.1016/j.seps.2023.101547
Autor:
Sohom Chatterjee, Youssef Hebaish, Lewis Ntaimo, James Deegear, Miles Rucker, Hrayer Aprahamian
College counseling centers in various universities have been tasked with the important responsibility of attending to the mental health needs of their students. Owing to the unprecedented recent surge of demand for such services, college counseling c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::362e0bb691a98cbb0f8383271f10cc40
Publikováno v:
IEEE Transactions on Smart Grid. 10:4928-4938
Data centers are among the fastest growing industries in the United States economy in terms of IT service and usage of data. However, data centers consume an excessive amount of energy that contributes to huge energy costs and CO2 emissions; thus, th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bfe94ff47113b531a2ce3c92d4ea06b
https://doi.org/10.1109/tsg.2018.2871125
https://doi.org/10.1109/tsg.2018.2871125
Publikováno v:
Computational Optimization and Applications. 72:589-608
We propose an algorithm based on infeasible irreducible subsystems to solve binary linear chance-constrained problems with random technology matrix. By leveraging on the problem structure we are able to generate good quality upper bounds to the optim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da2968093eb13fa36bb7de585587f92f
https://doi.org/10.1007/s10589-018-00055-9
https://doi.org/10.1007/s10589-018-00055-9
Autor:
Lewis Ntaimo
This book provides a foundation in stochastic, linear, and mixed-integer programming algorithms with a focus on practical computer algorithm implementation. The purpose of this book is to provide a foundational and thorough treatment of the subject w
Publikováno v:
Journal of Waterway, Port, Coastal, and Ocean Engineering. 146
Recent studies show that many of the extreme events in hydrology can be modeled more realistically by means of a nonstationary generalized extreme value (GEV) distribution. However, existi...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dee11d9fee3c01fb2f51e8f43aa1a31
https://doi.org/10.1061/(asce)ww.1943-5460.0000589
https://doi.org/10.1061/(asce)ww.1943-5460.0000589