90C26 Nonconvex programming, global optimization
Refine
Year of publication
Document Type
- ZIB-Report (22)
- Doctoral Thesis (2)
Is part of the Bibliography
- no (24)
Keywords
- Pooling Problem (4)
- nonconvex (3)
- Cutting Planes (2)
- Large Neighborhood Search (2)
- MINLP (2)
- Nonconvexity (2)
- Primal Heuristic (2)
- Quadratic Programming (2)
- Relaxation (2)
- Relaxations (2)
- Standard Quadratic Programming (2)
- global optimization (2)
- mixed-integer quadratically constrained programming (2)
- Computations (1)
- Decomposition (1)
- Extreme Points (1)
- Feasibility Pump (1)
- Gas Network Planning (1)
- Intersection cuts (1)
- LP, MIP, CIP, MINLP, modeling, optimization, SCIP, SoPlex, Zimpl (1)
- MINLP, global optimization, operative planning, water supply networks (1)
- MIP (1)
- MIQCP (1)
- Mixed Integer Nonlinear Programming (1)
- Mixed-Integer Quadratically Constrained Programming (1)
- Mixed-Integer Nonlinear Programming (1)
- Nonconvex Optimization (1)
- OBBT (1)
- QCQPs (1)
- Quadratic-free sets (1)
- Robust Optimization (1)
- SCIP, MIP, MINLP, CIP, LP, modeling, optimization (1)
- Uncertainty (1)
- Valid Inequalities (1)
- bivariate functions (1)
- branch-and-cut (1)
- branching rule (1)
- computational (1)
- constraint integer programming (1)
- convex envelope (1)
- convex relaxation (1)
- large neighborhood search (1)
- linear underestimator (1)
- mixed integer nonlinear programming (1)
- mixed integer programming (1)
- mixed integer quadratically constrained programming (1)
- mixed-integer programming (1)
- optimality-based bound tightening (1)
- optimization-based bound tightening (1)
- perspective cuts, mixed-integer nonlinear programming, nonconvex optimization, computational study (1)
- primal heuristic (1)
- propagation (1)
- solver software (1)
The SCIP Optimization Suite is a powerful collection of optimization software that consists of the branch-cut-and-price framework and mixed-integer programming solver SCIP, the linear programming solver SoPlex, the modeling language Zimpl, the parallelization framework UG, and the generic branch-cut-and-price solver GCG. Additionally, it features the extensions SCIP-Jack for solving Steiner tree problems, PolySCIP for solving multi-objective problems, and SCIP-SDP for solving mixed-integer semidefinite programs. The SCIP Optimization Suite has been continuously developed and has now reached version 4.0. The goal of this report is to present the recent changes to the collection. We not only describe the theoretical basis, but focus on implementation aspects and their computational consequences.