From 46957d2f3339cc90e29b86e0175c380c9d4b777f Mon Sep 17 00:00:00 2001 From: Oscar Dowson Date: Mon, 7 Oct 2024 11:14:39 +1300 Subject: [PATCH] Update tolerances.jl --- docs/src/tutorials/getting_started/tolerances.jl | 6 +++++- 1 file changed, 5 insertions(+), 1 deletion(-) diff --git a/docs/src/tutorials/getting_started/tolerances.jl b/docs/src/tutorials/getting_started/tolerances.jl index 7f9788550c4..bfbe38ae76c 100644 --- a/docs/src/tutorials/getting_started/tolerances.jl +++ b/docs/src/tutorials/getting_started/tolerances.jl @@ -370,12 +370,16 @@ is_solved_and_feasible(model) # ## Problem scaling # Problem scaling refers to the absolute magnitudes of the data in your problem. +# The data is any numbers in the objective, the constraints, or the variable +# bounds. +# # We say that a problem is poorly scaled if there are very small ($< 10^{-3}$) # or very large ($> 10^6$) coefficients in the problem, or if the ratio of the # largest to smallest coefficient is large. # Numerical issues related to the feasibility tolerances most commonly arise -# because of poor problem scaling. +# because of poor problem scaling. The next examples assume a primal feasibility +# tolerance of 1e-8, but actual tolerances may vary from one solver to another. # ### Small magnitudes