61e37ce2

By: ValentinHirschi <valentin.hirschi@gmail.com>

document the implemented h-shaped inverse CDF

Describe the normalized log-logistic mixture, its bracketed solve in log(t),
and the Jacobian obtained from the same proposal derivative. Keep physical h
and h_dual unchanged and record the user's decision to retain this construction.

Validation: checked the documentation against the sampling map and eager dual
implementation; git diff --check passes. Runtime optimization and its saved-state
acceptance work remain separate uncommitted changes.

User request:
How do you do the inverse CDF for the cutkosky cut h-function. It does not have a closed analytical expression.
Also keep in mind that it is not absolutely necessary to have the exact h-function inverse. It is also ok to have a simpler function that mimics this shape close enough. But anyway it seems like it's not longer the bottleneck, so you can keep what you have already.
GitHub
Time to Start Worker time Duration Time to finish Idle
Config 2s 10s 10s 12s 2s
Eval 9s 57s 57s 1m07s 0s
Build 58s 46m01s - - 0s
Test 1m18s 20m34s - - 0s
Deploy - - - - 1h10m23s
Suite 2s 1h07m43s - - 1h10m25s

Timeline

Config Eval Build Test Failed Retried
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