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Robust Optimization Made Easy with ROME:

Goh, Joel ; Sim, Melvyn
Operations Research. 59 (2011) 4 - p. 973-985 , 2011

Link: https://www.jstor.org/stable/23013159

RT Journal
T1 <Title>Robust Optimization Made Easy with ROME</Title>

UL https://suche.suub.uni-bremen.de/peid=jstor-23013159&Exemplar=1&LAN=DE
				
A1 Goh, Joel
A1 Sim, Melvyn
PB Institute for Operations Research and the Management Sciences
YR 2011
SN 0030-364X
SN 1526-5463
K1 Mathematics
K1 Mathematical procedures
K1 Mathematical optimization
K1 Robust optimization
K1 Pure mathematics
K1 Algebra
K1 Linear algebra
K1 Vector analysis
K1 Mathematical vectors
K1 Mathematical values
K1 Mathematical variables
K1 Mathematical independent variables
K1 Applied mathematics
K1 Statistics
K1 Applied statistics
K1 Statistical models
K1 Parametric models
K1 Business
K1 Business administration
K1 Business management
K1 Inventory management
K1 Matrix theory
K1 Matrices
K1 Covariance matrices
K1 Philosophy
K1 Logic
K1 Logical topics
K1 Formal logic
K1 Mathematical logic
K1 Mathematical set theory
K1 Mathematical sets
K1 Index sets
K1 Accountancy
K1 Financial accounting
K1 Assets
K1 Current assets
K1 Inventories
K1 Business operations
K1 Commerce
K1 Business orders
K1 Order quantity
JF Operations Research
VO 59
IS 4
SP 973
OP 985
LK http://dx.doi.org/https://www.jstor.org/stable/23013159
DO https://www.jstor.org/stable/23013159
SF ELIB - SuUB Bremen

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