Idaes-pse

- Install documentation fixes
- Correcting path for Cubic Property Package

- New idaes extensions available as a binary distribution including pre-compiled
- Property packages
- IPOPT solver
- PyPi package to allow easier `pip install idaes-pse` installation
- Improved installation instructions
- Developed a homotopy meta-solver
- Support for cubic equations of state, including Peng-Robinson and Soave-Redlich-Kwong
- Improvements to initialization of Mixer and Splitter, plus more general initialization utility methods
- Fixed bug in pressure changer report method
- Improved test coverage of core and unit model libraries

Start with our [online documentation](https://idaes-pse.readthedocs.io/en/1.3.0/) to get started with install instructions, tutorials, etc.

Release Highlights
- Flowsheet visualizer in JupyterLab
- Added support for non-ideal (activity coefficient) based properties for liquid phases
- Support for property packages specifying default forms for balance equations
- Support for PID controllers in flowsheets
- Improved test coverage of unit model library, including testing against multiple property packages
- Improved specification of isentropic conditions for pressure changers
- ddm-learning:
- Python 3 compatibility update
- Alamopy updates
- Preliminary release of HELMET

Special release
To support workshop tutorials for the July FOCAPD meeting.

This is the 2019 April Release
Changes include:
- Major fixes on control volume 1D
- Improved documentation
- Minor bug fixes
- Ideal property package with smooth VLE transition
- Updated tutorials and interactive jupyter notebooks
- Improved testing
- Dropping support for Python 2.7
- Improvements to referencing components

Initial public release of the IDAES Process Systems Engineering Framework.

[Documentation](https://idaes.github.io/idaes-pse/) | [Install instructions](https://idaes.github.io/idaes-pse/install.html)

The IDAES PSE framework addresses the capability gap between state-of-the-art simulation packages and general algebraic modeling languages (AMLs) by integrating an extensible, equation-oriented process model library within the open-source, DOE-funded, Pyomo AML, which addresses challenges in formulating, manipulating, and solving large, complex, structured optimization problems.

Patch release:
* Improvements to Tutorials