From 753286755c8efc8812ba18080ee9db41d141df44 Mon Sep 17 00:00:00 2001 From: Torkel Date: Thu, 2 Nov 2023 10:58:09 -0400 Subject: [PATCH] update --- .../src/catalyst_applications/optimization_ode_param_fitting.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/src/catalyst_applications/optimization_ode_param_fitting.md b/docs/src/catalyst_applications/optimization_ode_param_fitting.md index 233bc5269d..9ef63af126 100644 --- a/docs/src/catalyst_applications/optimization_ode_param_fitting.md +++ b/docs/src/catalyst_applications/optimization_ode_param_fitting.md @@ -161,7 +161,7 @@ corresponds to the same true parameter values as used previously (`[:kB => 1.0, Say that we had measured our model for several different initial conditions, and would like to fit our model to all these measurements simultaneously. This can be done by first creating a [corresponding `EnsembleProblem`](@ref advanced_simulations_ensemble_problems). How to then create loss functions for these are described in more detail [here](https://docs.sciml.ai/DiffEqParamEstim/stable/tutorials/ensemble/). ## Optimisation solver options -Optimization.jl supports various [optimisation solver options](https://docs.sciml.ai/Optimization/stable/API/solve/) that can be supplied to the solve command. For example, to set a maximum number of seconds (after which the optimisation process is terminated), you can use the `maxtime` argument: +Optimization.jl supports various [optimisation solver options](https://docs.sciml.ai/Optimization/stable/API/solve/) that can be supplied to the `solve` command. For example, to set a maximum number of seconds (after which the optimisation process is terminated), you can use the `maxtime` argument: ```@example diffeq_param_estim_1 optsol_fixed_kD = solve(optprob, CMAEvolutionStrategyOpt(); maxtime=100) nothing # hide