Comments (1)
In short, we can't see us developing the modelling features of highspy much. It's just there to allow simple illustrative examples to be presented when introducing HiGHS.
That said, we're aware of some limitations when accessing from Python the data generated by the HiGHS C++ code.
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Related Issues (20)
- Build fails on macOS: `f951: Error: '-fno-fat-lto-objects' are supported only with linker plugin` HOT 3
- Get Column Cost HOT 1
- Spurious statement of Integer when writing model HOT 1
- primal_solution_status is reported as kSolutionStatusFeasible for infeasible model when solver=ipm and presolve=off
- How to Set a Partial MIP Solution using setSolution()? HOT 11
- Logging header not printed if `h.writeModel` or `h.writeSolution` called before a method using the HighsIO
- `Highs::writeModel("")` uses `HighsIO`, but `Highs::writeSolution("")` uses `fprintf` for stdout HOT 1
- HiGHS 1.7.1 HighsCallbackDataOut data type can no longer be accessed directly for mip_solution item. HOT 1
- Time limit solving Jeroslow MIP seems not to be triggered HOT 2
- Stop MIP solve on `simplex_iteration_limit` (or other LP iteration limit) - Access iteration count via callback? HOT 2
- CMake configuration fails with versions >3.23.0 and <3.24.0
- Longer runtimes for ILP models created with `addVariable` versus `addCol` HOT 4
- PInvokeStackImbalance exception when targetting .NET Framework (Windows)
- Stream HiGHs solver output in pyomo HOT 1
- Add user cuts
- Running in Parallel gives unexpected result. HOT 9
- LeakSanitizer locates memory leaks in highs HOT 11
- linker error due to .res files from v1.7.0
- Add an option to obtain dual information from the best solution found in MIP problems HOT 2
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from highs.