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RELEASE_NOTES.md

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Release Notes

2.6

Features

  • Update to Casadi 3.6. This also enables users to use the HiGHS solver.
  • Optimization: Add parallellization mode options for collocated integration.
  • Optimization: Add a planning mixin (PlanningMixin) that holds marked control variables consistent across ensemble members.
  • Simulation: Enable using delay equations.
  • Simulation: Enable adding custom equations to the model using a python script.
  • Simulation: Enable using lookup tables in the model.
  • Simulation: Enable selecting a solver for the implicit timestep scheme.

Fixes / Improvements

  • Optimization: Fix and modernise DAE integration for collocoated integration.
  • Simulation: support models with an empty DAE.

2.5

Features

  • Support for string parameters in Modelica models (parameter string foo = "bar").
  • HomotopyMixin: Add support for specifying starting theta (e.g. not starting at 0.0, but starting at 0.5 or 1.0).
  • Timeseries: Add __eq__ for easy equality comparison of Timeseries (timeseries_a == timeseries_b).

Fixes / Improvements

  • Many speed-ups to SimulationProblem.

Patches

2.5.2

  • Optimization: Enable logging errors for certain priorities as info.
  • Fix missing timezone in timeseries_export.xml.
  • Simulation: Raise exception when simulation fails.
  • Add checks for user-defined simulation/optimization problem class.
  • Optimization: Enable optimization problems with time series of length one.
  • Improve formatting of XML output.

2.5.1

  • Simulation: Various fixes for the time-stepping algorithm.
  • Simulation: Enable simulation problems with no parameters.
  • Simulation: Enable setting parameters of a simulation problem within the Python script.
  • ControlTreeMixin: Enable $k$-ary tress with $k >= 10$.
  • ControlTreeMixin: Enable to read ensemble member branches.

2.4

Features

  • New mixin to minimize the absolute value of a function or variable (MinAbsGoalProgrammingMixin).
  • New mixin to approximate high order penalties in a linear fashion (LinearizedGoalProgrammingMixin).
  • New mixin to read and write from NetCDF files (NetCDFMixin)
  • Convenience method for merging bounds (OptimizationProblem.merge_bounds).
  • Allow passing of arguments to problem class via run_optimization/simulation_problem.
  • Allow passing of model/input/output folder paths to run_optimization/simulation_problem.

Fixes / Improvements

  • Also allow nominals for path and extra variables.
  • Many fixes related to (optional) block interpolation of variables.

Deprecations

  • Deprecate explicit collocation.
  • Deprecate integrated states.

2.3

Features

  • Vector goals.
  • Optional more generic/optimal way of translating goals from current priority to the next (e.g. keep_soft_constraints option).
  • Can now provide a custom (initial) seed to SimulationProblem.
  • Allow extra variables to appear in path expressions.
  • New examples, in particular showing the use (and strength) of using HomotopyMixin for channel flow.

Fixes / Improvements

  • The scale_by_problem_size for path goals now only uses number of active time steps.
  • Much improved scaling of initial derivatives.
  • Improve branch allocation of ControlTreeMixin.
  • Fix inconsistencies in internal API w.r.t. what methods can return as symbolic values.
  • Many large and small optimizations and refactorings for performance.
  • Sanity checks on goals, e.g. function ranges. Some models may fail the checks now, but if they do the goal in question did not make much sense anyway.

2.2

  • Various new features and improvements.
  • Rename pymola to pymoca.

2.1

  • Various new features and improvements.
  • Upgrade to Python 3.
  • Use pymola instead of JModelica.

2.0

First release in 2.x series.