Release v4.0.0

[seballgeyer]

The Ginan team is pleased to release v4.0.0 of the toolkit.

Main Highlights:

• Introduce Ginan binaries for Linux, MacOS and Windows
  • The binaries can be found on the GitHub website:
    • Ginan Binaries
• Introduce a Qt-based Graphical User Interface (GUI) for Ginan:
  • Simply open RNX file and choose from drop-downs
  • Download the GUI from GitHub release page
  • Works across Linux, MacOS and Windows
  • Built using PySide 6
  • A user manual for the GUI can be found here:
    • Ginan GUI User Manual

Major Changes:

• Major refactor: use OpenBLAS / LAPACK instead of Eigen
  • Refactored RTS code
  • Refactored core Kalman filter code
  • Improved efficiency (up to 30% faster on network runs)
• Major improvement in handling state errors in pre-fit and post-fit outlier screening
• Move to vcpkg as the primary package manager for Ginan
• Add RNX2 --> RNX3 phase signal mapping in config

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This discussion was created from the release Release v4.0.0.

[L-Curr0]

Great work Ginan team.