Adding missing display option to scipy_slsqp (#586)

Author: sefmef

docs/source/algorithms.md

@@ -86,6 +86,9 @@ install optimagic.
       f in the stopping criterion.
     - **stopping.maxiter** (int): If the maximum number of iterations is reached,
       the optimization stops, but we do not count this as convergence.
+    - **display** (bool): 
+	    Set to True to print convergence messages. Default is False.
+      - scipy name: **disp**
 
 ```
 

src/optimagic/optimizers/scipy_optimizers.py

@@ -145,13 +145,15 @@ def _solve_internal_problem(
 class ScipySLSQP(Algorithm):
     convergence_ftol_abs: NonNegativeFloat = CONVERGENCE_SECOND_BEST_FTOL_ABS
     stopping_maxiter: PositiveInt = STOPPING_MAXITER
+    display: bool = False
 
     def _solve_internal_problem(
         self, problem: InternalOptimizationProblem, x0: NDArray[np.float64]
     ) -> InternalOptimizeResult:
         options = {
             "maxiter": self.stopping_maxiter,
             "ftol": self.convergence_ftol_abs,
+            "disp": self.display,
         }
         raw_res = scipy.optimize.minimize(
             fun=problem.fun_and_jac,