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      Branch-and-bound for integer D-Optimality with fast local search and variable-bound tightening

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          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 randomly-generated test problems.

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          Author and article information

          Journal
          31 August 2023
          Article
          2309.00117
          2e2505b7-794a-42bb-a745-fa4328375bd7

          http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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          math.OC

          Numerical methods
          Numerical methods

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