DecisionProgramming.jl

DecisionProgramming.jl is a Julia package for solving multi-stage decision problems under uncertainty, modeled using influence diagrams. Internally, it relies on mathematical optimization. Decision models can be embedded within other optimization models.

MIT License

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DecisionProgramming.jl - v1.2.0 Latest Release

Published by github-actions[bot] about 1 year ago

DecisionProgramming v1.2.0

Diff since v1.1.0

Merged pull requests:

  • Create CompatHelper.yml (#43) (@solliolli)
  • CompatHelper: bump compat for JuMP to 1, (keep existing compat) (#44) (@github-actions[bot])
  • CompatHelper: bump compat for PrettyTables to 2, (keep existing compat) (#45) (@github-actions[bot])
  • Single policy update (#46) (@solliolli)
DecisionProgramming.jl - v1.1.0

Published by github-actions[bot] almost 2 years ago

DecisionProgramming v1.1.0

Diff since v1.0.2

  • The DefaultPathProbability constructor now validates the number of probability matrices

Closed issues:

  • Add a check to make sure there is a probability matrix for all chance nodes (#40)

Merged pull requests:

  • Julia 1.6 and JuMP 1.3.0 update (#36) (@toubinaattori)
  • Added a check for number of probability matrices (#41) (@solliolli)
DecisionProgramming.jl - v1.0.2

Published by github-actions[bot] over 2 years ago

DecisionProgramming v1.0.2

Diff since v1.0.1

DecisionProgramming.jl - v1.0.1

Published by FabsOliveira over 2 years ago

Update

What's Changed

Full Changelog: https://github.com/gamma-opt/DecisionProgramming.jl/compare/v1.0.0...v1.0.1

DecisionProgramming.jl - v1.0.0

Published by solliolli almost 3 years ago

With this release, we're past initial development, and the package should be relatively stable. Over the past few months, we have worked on improving both usability and documentation and making the interface more user-friendly. Combined with earlier improvements to the model (v.0.2.0), the package is ready for use.

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