docs: link to MTK's linear analysis doc page rather than the standard library

Author: AayushSabharwal

docs/src/basics/Linearization.md

@@ -43,7 +43,7 @@ using ModelingToolkit: inputs, outputs
 
 !!! note "Inputs must be unconnected"
 
-    The model above has 4 variables but only three equations, there is no equation specifying the value of `r` since `r` is an input. This means that only unbalanced models can be linearized, or in other words, models that are balanced and can be simulated _cannot_ be linearized. To learn more about this, see [How to linearize a ModelingToolkit model (YouTube)](https://www.youtube.com/watch?v=-XOux-2XDGI&t=395s). Also see [ModelingToolkitStandardLibrary: Linear analysis](https://docs.sciml.ai/ModelingToolkitStandardLibrary/stable/API/linear_analysis/) for utilities that make linearization of completed models easier.
+    The model above has 4 variables but only three equations, there is no equation specifying the value of `r` since `r` is an input. This means that only unbalanced models can be linearized, or in other words, models that are balanced and can be simulated _cannot_ be linearized. To learn more about this, see [How to linearize a ModelingToolkit model (YouTube)](https://www.youtube.com/watch?v=-XOux-2XDGI&t=395s). Also see [ModelingToolkitStandardLibrary: Linear analysis](https://docs.sciml.ai/ModelingToolkit/stable/tutorials/linear_analysis/) for utilities that make linearization of completed models easier.
 
 !!! note "Un-simplified system"
 
@@ -75,7 +75,7 @@ If the modeled system is actually proper (but MTK failed to find a proper realiz
 
 ## Tools for linear analysis
 
-[ModelingToolkitStandardLibrary](https://docs.sciml.ai/ModelingToolkitStandardLibrary/stable/) contains a set of [tools for more advanced linear analysis](https://docs.sciml.ai/ModelingToolkitStandardLibrary/stable/API/linear_analysis/). These can be used to make it easier to work with and analyze causal models, such as control and signal-processing systems.
+ModelingToolkit contains a set of [tools for more advanced linear analysis](https://docs.sciml.ai/ModelingToolkit/stable/tutorials/linear_analysis/). These can be used to make it easier to work with and analyze causal models, such as control and signal-processing systems.
 
 Also see [ControlSystemsMTK.jl](https://juliacontrol.github.io/ControlSystemsMTK.jl/dev/) for an interface to [ControlSystems.jl](https://github.com/JuliaControl/ControlSystems.jl) that contains tools for linear analysis and frequency-domain analysis.