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@gfardell gfardell released this 02 Oct 08:17
· 350 commits to master since this release
v23.1.0
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Learn about vigilant mode.

Install using files from https://anaconda.org/ccpi/cil/files?version=23.1.0

v23.1.0

The full changelog can be found here.

This version extends the TotalVariation class to store its state via a warm_start flag and changes the default behaviour to use this.
This means that calls to TotalVariation::proximal() are initiated by the final value from the previous iteration which allows the max_iteration value to be reduced significantly. When used within an algorithm such as PDHG the total memory use will increase by the number of dimensions times the image size, however the TotalVariation step will need only 5-10 iterations, significantly decreasing overall compute time until convergence. The previous behaviour can be recreated by setting warm_start=False.

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