Symbolica 1.3.0
Symbolica 1.3.0 has been released!
Notable changes
- Overall performance improvement due to faster normalization of terms
- Performance improvements of pattern matching due to proofs of structural mismatches
- Experimental sparse matrix library (written by Gregor Kälin)
- Set parameters as real during evaluation, which allows for faster complex evaluators
- Set dual components of parameters to 0, which allows for faster compiled dual evaluation
- Add replace-once option
- Allow for more flexible input of numpy arrays for evaluators
** Upgrade notice **
- The ordering of terms in the output has changed and may be slightly harder to predict. Use
to_canonical_stringif you need predictable output.