merge fixes

Author: TorkelE

docs/pages.jl

@@ -27,7 +27,8 @@ pages = Any[
         "model_simulation/simulation_plotting.md",
         "model_simulation/simulation_structure_interfacing.md",
         "model_simulation/ensemble_simulations.md",
-        "model_simulation/ode_simulation_performance.md"
+        "model_simulation/ode_simulation_performance.md",
+        "model_simulation/sde_simulation_performance.md"
     ],
     "Steady state analysis" => Any[
         "steady_state_functionality/homotopy_continuation.md",

docs/src/model_simulation/simulation_introduction.md

@@ -1,7 +1,7 @@
 # [Model Simulation Introduction](@id simulation_intro)
 Catalyst's core functionality is the creation of *chemical reaction network* (CRN) models that can be simulated using ODE, SDE, and jump simulations. How such simulations are carried out has already been described in [Catalyst's introduction](@ref introduction_to_catalyst). This page provides a deeper introduction, giving some additional background and introducing various simulation-related options. 
 
-Here we will focus on the basics, with other sections of the simulation documentation describing various specialised features, or giving advice on performance. Anyone who plans on using Catalyst's simulation functionality extensively is recommended to also read the documentation on [solution plotting](@ref simulation_plotting), and on how to [interact with simulation problems, integrators, and solutions](@ref simulation_structure_interfacing). Anyone with an application for which performance is critical should consider reading the corresponding page on performance advice for [ODEs](@ref ode_simulation_performance).
+Here we will focus on the basics, with other sections of the simulation documentation describing various specialised features, or giving advice on performance. Anyone who plans on using Catalyst's simulation functionality extensively is recommended to also read the documentation on [solution plotting](@ref simulation_plotting), and on how to [interact with simulation problems, integrators, and solutions](@ref simulation_structure_interfacing). Anyone with an application for which performance is critical should consider reading the corresponding page on performance advice for [ODEs](@ref ode_simulation_performance) or [SDEs](@ref sde_simulation_performance).
 
 ### [Background to CRN simulations](@id simulation_intro_theory)
 This section provides some brief theory on CRN simulations. For details on how to carry out these simulations in actual code, please skip to the following sections.
@@ -169,7 +169,7 @@ nothing # hide
 ```
 
 ## [Performing SDE simulations](@id simulation_intro_SDEs)
-Catalyst uses the [StochasticDiffEq.jl](https://github.com/SciML/StochasticDiffEq.jl) package to perform SDE simulations. This section provides a brief introduction, with [StochasticDiffEq's documentation](https://docs.sciml.ai/StochasticDiffEq/stable/) providing a more extensive description. sBy default, Catalyst generates SDEs from CRN models using the chemical Langevin equation.
+Catalyst uses the [StochasticDiffEq.jl](https://github.com/SciML/StochasticDiffEq.jl) package to perform SDE simulations. This section provides a brief introduction, with [StochasticDiffEq's documentation](https://docs.sciml.ai/StochasticDiffEq/stable/) providing a more extensive description. By default, Catalyst generates SDEs from CRN models using the chemical Langevin equation. A dedicated section giving advice on how to optimise SDE simulation performance can be found [here](@ref sde_simulation_performance).
 
 SDE simulations are performed in a similar manner to ODE simulations. The only exception is that an `SDEProblem` is created (rather than an `ODEProblem`). Furthermore, the [StochasticDiffEq.jl](https://github.com/SciML/StochasticDiffEq.jl) package (rather than the OrdinaryDiffEq package) is required for performing simulations. Here we simulate the two-state model for the same parameter set as previously used:
 ```@example simulation_intro_sde