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The master problem finds the VM allocation that maximizes the value of point to point interdependency.
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The lower bound is concave w.r.t. and the solution of the approximated master problem can be found by multilevel waterfilling algorithm [9].
Cuts are iteratively generated by solving the feasibility sub-problem and added back to the relaxed master problem, until an optimal solution is found or infeasibility is proved.
If a column with a negative reduced cost has been found, add this column to the current master problem and repeat Steps 3 and 4. Otherwise, the master problem is optimally solved. .
test, researchers have found that a surprisingly small and specific region of gray matter may be the brain's master problem solver.
PAGE A7 The Brain's Brains Researchers have found that a surprisingly small and specific region of gray matter may be the brain's master problem solver, the venerable "seat of human intelligence".
Restricted master problem.
Therefore, master problem is divided into sub-problems.
The master problem can be expressed as (7).
and (4) is referred to as the primal master problem.
Step 2: Solve the master problem as described in Sect.
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