Update JSOSolvers to 0.14 in Introduction to JSOSolvers

Author: tmigot

tutorials/introduction-to-jsosolvers/Project.toml

@@ -12,6 +12,6 @@ SolverCore = "ff4d7338-4cf1-434d-91df-b86cb86fb843"
 ADNLPModels = "0.7"
 CSV = "0.10"
 DataFrames = "1.4"
-JSOSolvers = "0.11"
+JSOSolvers = "0.14"
 Plots = "1.38"
 SolverCore = "0.3"

tutorials/introduction-to-jsosolvers/index.jmd

@@ -44,13 +44,6 @@ The solvers `tron` and `trunk` both have a specialized implementation for input
 
 The following examples illustrate this specialization.
 
-To list the allowed least-squares subsolvers for these specializations:
-
-```julia
-JSOSolvers.trunkls_allowed_subsolvers
-JSOSolvers.tronls_allowed_subsolvers
-```
-
 ```julia
 using JSOSolvers, ADNLPModels
 f(x) = (x[1] - 1)^2 + 4 * (x[2] - x[1]^2)^2
@@ -72,6 +65,13 @@ trunk(nls, atol = 1e-6, rtol = 1e-6)
 nls.counters
 ```
 
+To list the allowed least-squares subsolvers for these specializations:
+
+```julia
+JSOSolvers.trunkls_allowed_subsolvers
+JSOSolvers.tronls_allowed_subsolvers
+```
+
 We conclude these examples by a nonlinear regression example from the [NIST data set](https://www.itl.nist.gov/div898/strd/nls/nls_main.shtml).
 In particular, we consider the problem [`Thurber`](https://www.itl.nist.gov/div898/strd/nls/data/LINKS/DATA/Thurber.dat).