Skip to content

Releases: kylebeggs/POD-RBF

v1.4.3

13 Sep 00:02
Compare
Choose a tag to compare

What's Changed

Full Changelog: v1.4.1...v1.4.3

v1.4.1

09 Sep 14:15
b2c059f
Compare
Choose a tag to compare

What's Changed

Full Changelog: v1.4.0...v1.4.1

v1.4.0

18 Aug 20:40
Compare
Choose a tag to compare

What's Changed

  • changed _findOptimShapeParam to a bisection algorithm by @yamanatoo in #5

New Contributors

Full Changelog: v1.3.0...v1.4.0

v1.3.0

09 Aug 18:24
Compare
Choose a tag to compare

Changes in this release:

  • added support for serialization via pickling requested by #4.

v1.2.1

11 May 19:20
Compare
Choose a tag to compare

Changes in this release:

  • changed the RBF to the normalized version of the inverse Multiquadrics
  • updated the landing page README with better equations that don't get lost when using dark mode and links to journal articles the method is based on.

Release v1.2.0

30 Dec 17:22
Compare
Choose a tag to compare

Changes in this Release

  • Updated shape parameter optimization scheme
  • Added scaling to RBF dimensions

v1.1.1

16 Dec 19:44
Compare
Choose a tag to compare

Fixed a bug in buildSnapshotMatrix() where the files may not be sorted alphanumerically as they should because os.listdir() depends on how the user's directory is set be indexed.

Release v1.1.2

16 Dec 21:17
773d443
Compare
Choose a tag to compare

deleted some unnecessary print statements and added exceptions to replace naive print statements for errors.

v1.1.0

15 Sep 23:22
Compare
Choose a tag to compare

This minor release includes automatic algorithm switching based on memory when calculating the reduced basis. SVD is more accurate and slightly faster, but has a higher memory footprint. When the snapshot matrix is very large, this is a problem, and so a typical eigenvalue decomposition is used.

v1.0.2

04 Sep 18:53
Compare
Choose a tag to compare
  • updated to use economy SVD