Remove v1 problem definition and redundant outputs

Author: alexanderbodard

README.md

@@ -9,6 +9,10 @@ This solver handles risk-averse optimal control problems with:
   - Conic risk measures
   - Convex input-state constraints
 
+## Documentation
+
+Documentation can be found [here](https://kul-optec.github.io/spock.jl/).
+
 ## Installation
 
 Make sure to install the dependencies in the `Project.toml` and in your script import
@@ -17,7 +21,6 @@ Make sure to install the dependencies in the `Project.toml` and in your script i
 include("src/spock.jl")
 ```
 
-
 ## Examples
 
 The `examples/server_heat` folder contains example code for a test system, modeling the heat of servers in a data center. The figures in the IFAC 2023 submission can be reproduced by running the scripts `residuals.jl`, `scaling.jl` and `mpc_simulation.jl`.