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EmrysFilter 0.1.0
State estimation utilities in C++23 using Eigen
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The bracket \( \max(B - H(\hat w), 0) \le \mathrm{KL}(p \parallel q) \le B \) on the divergence of a distribution from its collapse, which kullbackLeiblerCollapseBounds() returns. More...
#include <EmrysFilter/Distributions/Divergence.h>
Public Attributes | |
| Scalar | lower |
| \( \max(B - H(\hat w), 0) \): the divergence is at least this | |
| Scalar | upper |
| \( B \): the divergence is at most this | |
The bracket \( \max(B - H(\hat w), 0) \le \mathrm{KL}(p \parallel q) \le B \) on the divergence of a distribution from its collapse, which kullbackLeiblerCollapseBounds() returns.