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Approximation algorithms for stochastic sequencing and scheduling problems

Approximation algorithms for stochastic sequencing and scheduling problems. David B. Shmoys Cornell University. Worst-Case vs Stochastic Analysis. Yin and Yang of algorithmic analysis Early results always focus on simple problems for which simple algorithms work Examples

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IOE/MFG 543

IOE/MFG 543. Chapter 5: Parallel machine models (Sections 5.3-5.6). Section 5.3: Total completion time Pm|| S C j. On a single machine C j = S k=1 p (k) where p (j) is the processing time of the jth job processed on the machine Then S C j =np (1) +(n-1)p (2) +...+p (n)

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259 views • 13 slides

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Parallel machine models - PowerPoint PPT Presentation

Approximation algorithms for stochastic sequencing and scheduling problems

IOE/MFG 543