From 3f4f7dcfdf52ba8d5b5c0eea23ba98d52ff9e8ce Mon Sep 17 00:00:00 2001 From: Julian Kath <56269720+juka19@users.noreply.github.com> Date: Tue, 19 Aug 2025 18:10:45 +0200 Subject: [PATCH] Update README.rst --- README.rst | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.rst b/README.rst index a494830..b28dafe 100644 --- a/README.rst +++ b/README.rst @@ -17,7 +17,7 @@ The algorithm recognizes the input variable type and and uses the appropriate ve For more information and examples, please visit: * `wikipedia page on ipf `_ -* `slides explaining the methodology and links to specific examples `_ +* `slides explaining the methodology and links to specific examples `_ * https://github.com/Dirguis/ipfn ---- @@ -75,7 +75,7 @@ Below is that example solved with IPFN:: Example with the numpy version of the algorithm: ------------------------------------------------ -Please, follow the example below to run the package. Several additional examples in addition to the one listed below, are listed in the ipfn.py script. This example is taken from ``_ +Please, follow the example below to run the package. Several additional examples in addition to the one listed below, are listed in the ipfn.py script. This example is taken from ``_ First, let us define a matrix of N=3 dimensions, the matrix being of specific size 2*4*3 and populate that matrix with some values ::