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Patrick Gemander

The SCIP Optimization Suite 5.0

Published: 2017/12/21, Updated: 2017/12/29
  • Leon Eifler
  • Tristan Gally
  • Gerald Gamrath
  • Ambros Gleixner
  • Robert Lion Gottwald
  • Gregor Hendel
  • Christopher Hojny
  • Thorsten Koch
  • Matthias Miltenberger
  • Marc E. Pfetsch
  • Felipe Serrano
  • Dieter Weninger
  • Jakob Witzig
  • Patrick Gemander
  • Benjamin Müller
  • Christian Puchert
  • Daniel Rehfeldt
  • Franziska Schlösser
  • Yuji Shinano
  • Merlin Viernickel
  • Stefan Vigerske
  • Jonas T. Witt
Categories (Mixed) Integer Linear Programming, (Mixed) Integer Nonlinear Programming Tags branch-and-cut, branch-and-price, column generation framework, constraint integer programming, linear programming, mixed-integer linear programming, mixed-integer nonlinear programming, mixed-integer semidefinite programming, optimization solver, parallelization, steiner tree optimization

This article describes new features and enhanced algorithms made available in version 5.0 of the SCIP Optimization Suite. In its central component, the constraint integer programming solver SCIP, remarkable performance improvements have been achieved for solving mixed-integer linear and nonlinear programs. On MIPs, SCIP 5.0 is about 41 % faster than SCIP 4.0 and over … Read more

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alternating direction method of multipliers augmented lagrangian method benders decomposition bilevel optimization Branch-and-Bound branch-and-cut chance constraints column generation combinatorial optimization complexity constrained optimization convex optimization cutting planes decomposition derivative-free optimization distributionally robust optimization duality dynamic programming first-order methods global convergence global optimization heuristics integer programming interior point methods large-scale optimization linear programming machine learning mixed-integer linear programming mixed-integer nonlinear programming mixed-integer programming multiobjective optimization nonconvex optimization nonlinear optimization nonlinear programming nonsmooth optimization optimal control optimization proximal point algorithm quadratic programming robust optimization semidefinite programming stochastic optimization stochastic programming trust-region methods unconstrained optimization

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