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nonlinear

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CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

  • Updated Nov 11, 2020
  • C++
JonasIsensee
JonasIsensee commented Oct 7, 2018

TSP claims to be type agnostic.
There should be tests for this.
In particular Float32 and Complex numbers will be of Interest.


Want to back this issue? **[Post a bounty on it!](https://www.bountysource.com/issues/64400386-add-tests-for-different-number-types-float32-complex?utm_campaign=plugin&utm_content=tracker%2F89129719&utm_medium=issues&utm_source=githu

Datseris
Datseris commented Sep 30, 2020

It would be nice to modify the lyapunovs function (and via same process also the lyapunov) to have a convergence argument, that terminates evolution when numerical convergence is met. If convergence is given, then the argument T means maximum integration time in case convergence is not reached until then.

One way I envision checking for convergence is via a running average: we store i

hkraemer
hkraemer commented Sep 15, 2020

The function all_neighbors returns pointless indices and according nearest neighbor values of -Inf, when the Theiler window and the length of the dataset do not allow an approariate declaration of Knearest neighbors. Specifically, that happens, when the Theiler window is large compared to the time series length. It would be better to assert that this does not happen, or at least throw a me

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