Exact Min-Cost Flow Against OR-Tools
Integer Network Simplex With an Independent Optimality Verifier.
1.2-2.5xfaster on medium instances
100%optima verified
behindon large NETGEN
exactinteger arithmetic
- Exact integer network simplex; every optimum verified independently
- Medium SR instances (2^13 to 2^15 nodes): 1.2-2.5x faster than OR-Tools, all certified
- Large NETGEN-8 (2^17): 9-12 s vs OR-Tools 4.4 s (behind)
More garmo solvers benchmark results
- Proof-Carrying Max-Cut on a GH200: 67 Biq Mac Optima Proved vs HiGHS's 49
- Weighted MaxSAT on a GH200: From 14/33/50 to 33/38/26 Against NuWLS-c-IBR
- Large-Instance TSP on 16 Arm Cores: 0.692 % → 0.165 % Mean Gap, Still Behind LKH-3
- A Native QCDCL Solver vs DepQBF: From 0 vs 4 to a 15–15 Tie, Then 15 vs 18 on Fresh Instances
- Vehicle Routing vs PyVRP: a C++ Solver Wins 37/26/21 at Equal Budget
- ISPD98 Bisection: Our Partitioner Beats KaHyPar and mt-KaHyPar at Equal Budget
- An Evidence-Driven Solver Router: Regret 0.046 vs 0.190 for the Best Single Backend
- A Verified MIP Race: HiGHS, SCIP and GPU Primal Heuristics Against cuOpt on MIPLIB 2017
- Constraint Programming in C++: 39 of 40 Schedules Proved Optimal vs CP-SAT's 20
- Certified GPU Numerics: Every Answer Carries a Checkable Certificate: and Where It Costs
- LABS on a GH200: Exponent 1.24 to the Proven Optimum, Beside the QAOA Exponents
- UNISOLVE 0.16.1: One Solver Platform, 13 Problem Domains, Every Answer Checked
- Four Certified Builds: Toroidal Proofs, Unroutability Certificates, CertBQP and a 235× Batch Service
- Unit Commitment on PGLib-UC Against HiGHS
- GPU Bundle Adjustment Against Ceres Solver
- AC Optimal Power Flow and State Estimation
- GPU Semidefinite Programming on SDPLIB