Abstract
The algorithm LDM (largest differencing method) divides a list of n random items into two blocks. The parameter of interest is the expected difference between the two block sums. It is shown that if the items are i.i.d. and uniform then the rate of convergence of this parameter to zero is n-Θ(log n). An algorithm for balanced partitioning is constructed, with the same rate of convergence to zero.
Original language | English |
---|---|
Pages (from-to) | 85-99 |
Number of pages | 15 |
Journal | Mathematics of Operations Research |
Volume | 21 |
Issue number | 1 |
DOIs | |
State | Published - Feb 1996 |
Keywords
- Differencing method
- Makespan
- Partitioning
- Probabilistic analysis of algorithms
- Scheduling