MISQPN

MISQPN: A Fortran subroutine for mixed-integer nonlinear optimization by outer approximation supported by mixed-integer search steps

Keywords for this software

Anything in here will be replaced on browsers that support the canvas element

References in zbMATH (referenced in 4 articles , 1 standard article )

Showing results 1 to 4 of 4.
Sorted by year (citations)

  1. Okuno, Takayuki; Ikebe, Yoshiko: A new approach for solving mixed integer DC programs using a continuous relaxation with no integrality gap and smoothing techniques (2021)
  2. Bussieck, Michael R.; Dirkse, Steven P.; Vigerske, Stefan: PAVER 2.0: an open source environment for automated performance analysis of benchmarking data (2014)
  3. Exler, Oliver; Lehmann, Thomas; Schittkowski, Klaus: A comparative study of SQP-type algorithms for nonlinear and nonconvex mixed-integer optimization (2012)
  4. Schlüter, Martin; Gerdts, Matthias; Rückmann, Jan-J.: A numerical study of MIDACO on 100 MINLP benchmarks (2012)