Releases: odow/SDDP.jl
Releases · odow/SDDP.jl
v0.3.8
v0.3.7
v0.3.6
v0.3.5
v0.3.4
SDDP v0.3.4
Closed issues:
- User-specified nominal distributions in DRO (#117)
- Add numerical recovery callback (#329)
- SOF: add test_scenarios (#335)
Merged pull requests:
- Update citations (#327) (@odow)
- add nonuniform dro (#328) (@guyichen09)
- Add a numerical recovery function (#330) (@odow)
- Implement StochOptFormat (#332) (@odow)
- fix bad spelling (#333) (@lkapelevich)
- Add TestScenarios and evaluate (#336) (@odow)
- Add kwargs to Base.write(::IO, ::PolicyGraph) (#337) (@odow)
- Bump version for release (#338) (@odow)
- Various improvements to the docs (#339) (@odow)
- Update index.md (#340) (@odow)
- Add an SMPS example as validation (#341) (@odow)
- Update to latest version of StochOptFormat (#343) (@odow)
- Fix the version of StochOptFormat in tests (#344) (@odow)
- Add entropic risk measure (#347) (@odow)
v0.3.3
SDDP v0.3.3
Closed issues:
- Remove the need to specify initial bound (#222)
- Forward pass plugins (#295)
- state variable (#314)
- A distributionally-robust risk measure based on the Wasserstein distance. (#315)
- Numerical Stability Issues (#316)
- Simulations (#317)
- Random Variable in the Objective Function (#318)
- Can state variable x.in be converted to an input parameter? (#319)
- SDDP.OutOfSampleMonteCarlo (#321)
- Asynchronous cuts with price states (#324)
Merged pull requests:
v0.3.2
SDDP v0.3.2
Closed issues:
- Add option to print every N iterations (#306)
- multi-dimensional noise term in the objective function (#308)
- SDDP.jl installation errors on Julia 1.0.5 (#309)
- Deterministic Equivalent Infeasible (#310)
- Multi-dimensional random variable in the objective function (#311)
Merged pull requests:
v0.3.1
v0.3.0
SDDP v0.3.0
Merged pull requests:
- Updates for JuMP 0.21 (#300) (@odow)
- Install TagBot as a GitHub Action (#303) (@JuliaTagBot)