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RTC-Tools 2.0.0-beta1 released

Deltares released RTC-Tools 2.0.0-beta1 on Friday, October 7th 2017.
 
This is a beta release in preparation for the 2.0 release, which is scheduled for later this year.
 
The 2.x series features:
 
 * A new focus on multi-objective optimization using lexicographic goal programming, to facilitate sequential optimization of prioritized goals.  The traditional weighting method is also still available.
 
 * An extensible model library using the industry standard Modelica modelling language.  This opens the door to multidisciplinary modelling and optimization.
 
 * Support for forecast ensembles, analogous to RTC-Tools 1.x.
 
 * Optional CSV file I/O.
 
 * Optional Delft-FEWS file I/O.
 
 * Efficient computation of Jacobians and Hessians using the CasADi framework.
 
 * A Python API, for programmatic creation of complex optimization problems.
 
 * The model library has been redone to encourage convex formulations of optimization problems.
 
Note that RTC-Tools 2.x is not backwards compatible with RTC-Tools 1.x. 
 
More information is available on the RTC-Tools website: https://www.deltares.nl/en/software/rtc-tools/
 
The Python code is available in an open gitlab repository: https://gitlab.com/deltares/rtc-tools
 
And so is the ChannelFlow Modelica library: https://gitlab.com/deltares/rtc-tools-channel-flow
 
API documentation and tutorials are available on readthedocs.io: http://rtc-tools.readthedocs.io/

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