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Optimal selection of customers for a last-minute offer
Roberto Cominetti
, José R. Correa
, Thomas Rothvoß
, Jaime San Martín
Faculty of Engineering and Science
Research output
:
Contribution to journal
›
Article
›
peer-review
7
Scopus citations
Overview
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Computer Science
Optimization Problem
100%
Optimal Threshold
100%
Polynomial Time
100%
Constant Factor
100%
Time Approximation Scheme
100%
Expected Return
100%
Customer Value
100%
Optimal Selection
100%
Linear Programming
100%
Keyphrases
Optimal Selection
100%
Last Minute
100%
Selling
100%
Linear Programming Relaxation
66%
Threshold Strategy
66%
Finite number
33%
Specific Value
33%
Expected Returns
33%
Optimization Problem
33%
Optimal Threshold
33%
Customer Type
33%
Value for Customer
33%
Perishable Items
33%
Optimal Revenue
33%
Selected Subset
33%
Revenue Optimization
33%
Mathematics
Probability Theory
100%
Finite Number
100%
Upper Bound
100%
Linear Programming Relaxation
100%
Polynomial Time
100%
Constant Factor
100%
Customer Type
100%
INIS
values
100%
relaxation
50%
risks
50%
probability
25%
polynomials
25%
approximations
25%
optimization
25%
balances
25%
linear programming
25%