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Application of chance-constrained programming to capital rationing problems with asymmetrically distributed cash flows and available budget
Cigdem Z. Gurgur, James T. Luxhoj
School of Engineering, Industrial Engineering
Research output
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Article
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peer-review
25
Scopus citations
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Dive into the research topics of 'Application of chance-constrained programming to capital rationing problems with asymmetrically distributed cash flows and available budget'. Together they form a unique fingerprint.
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Keyphrases
Cash Flow
100%
Random Variables
100%
Capital Rationing
100%
Chance-constrained Programming
100%
Rationing Problems
100%
Cash-out
50%
Asymmetric Distribution
25%
Normality
25%
Budget Constraint
25%
Symmetric Distribution
25%
Selection of the Best
25%
Computer Science
Random Variable
100%
Chance-Constrained Programming
100%
Approximation (Algorithm)
25%
Budget Constraint
25%
Normal Distribution
25%
Mathematics
Random Variable
100%
Gaussian Distribution
25%
Asymmetric
25%
Symmetric Distribution
25%
Budget Constraint
25%