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It would be nice to add kernel DMD as an option, for instance to standard DMD or streaming (or potentially TLS). One possibility would be something like:
sdmd=StreamingDMD(kernel=10)
for a kernel (1 + x'y)^{10}, or
sdmd=StreamingDMD(kernel=f)
for a user-defined kernel f(x,y). Any thoughts?
The text was updated successfully, but these errors were encountered:
Kernel DMD with batch data has been added to the main branch and the Scikit-learn-based interface.
Streaming and kernel are difficult to combine because streaming assumes # snapshots >> size of state space while kernel assumes #snapshots << size of state space. We may be able to find a clever way to combine them, but I can't think of it at the moment!
It would be nice to add kernel DMD as an option, for instance to standard DMD or streaming (or potentially TLS). One possibility would be something like:
for a kernel (1 + x'y)^{10}, or
for a user-defined kernel f(x,y). Any thoughts?
The text was updated successfully, but these errors were encountered: