Branch-and-bound for integer D-Optimality with fast local search and variable-bound tightening
Abstract
We develop a branch-and-bound algorithm for the integer D-optimality problem, a central problem in statistical design theory, based on two convex relaxations, employing variable-bound tightening and fast local-search procedures, testing our ideas on various test problems.
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