A rigorous deterministic global optimization approach for the derivation of secondary information in digital maps

HIGHLIGHTS

• who: Michael Eder from the Department of Mathematics, Technical University of Munich, Chair of Mathematical Optimization, Boltzmannstr3, Garching, Germany have published the paper: A rigorous deterministic global optimization approach for the derivation of secondary information in digital maps, in the Journal: (JOURNAL) of May/17,/2022
• what: The authors develop two new rigorous and deterministic branch-and-bound algorithms that both determine the certified global optimal value up to a predefined tolerance. The authors investigate two approaches that either compute a concave overestimator for the objective function or approximate the function with a quadratic polynomial . . .
  

   

  

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