From 90a7d4adefd54caceff440b481e9ada6959e9f0f Mon Sep 17 00:00:00 2001 From: Janos Gabler Date: Tue, 12 Nov 2024 11:39:40 +0100 Subject: [PATCH] Remove outdated section in pounders docstrings. --- docs/source/algorithms.md | 12 ------------ 1 file changed, 12 deletions(-) diff --git a/docs/source/algorithms.md b/docs/source/algorithms.md index 3901a904e..4ec46b6b5 100644 --- a/docs/source/algorithms.md +++ b/docs/source/algorithms.md @@ -907,12 +907,6 @@ We implement a few algorithms from scratch. They are currently considered experi and therefore may require fewer iterations to arrive at a local optimum than Nelder-Mead. - The criterion function :func:`func` should return a dictionary with the following - fields: - - 1. ``"value"``: The sum of squared (potentially weighted) errors. - 2. ``"root_contributions"``: An array containing the root (weighted) contributions. - Scaling the problem is necessary such that bounds correspond to the unit hypercube :math:`[0, 1]^n`. For unconstrained problems, scale each parameter such that unit changes in parameters result in similar order-of-magnitude changes in the criterion @@ -1015,12 +1009,6 @@ need to have [petsc4py](https://pypi.org/project/petsc4py/) installed. and therefore may require fewer iterations to arrive at a local optimum than Nelder-Mead. - The criterion function :func:`func` should return a dictionary with the following - fields: - - 1. ``"value"``: The sum of squared (potentially weighted) errors. - 2. ``"root_contributions"``: An array containing the root (weighted) contributions. - Scaling the problem is necessary such that bounds correspond to the unit hypercube :math:`[0, 1]^n`. For unconstrained problems, scale each parameter such that unit changes in parameters result in similar order-of-magnitude changes in the criterion