Fix typo in conjugate gradient docs

src/inversion_ideas/minimize/_functions.py

@@ -34,7 +34,7 @@ def conjugate_gradient(
     initial_model : (n_params) array
         Initial model used to start the minimization.
     preconditioner : (n_params, n_params) array, sparse array or LinearOperator or Callable, optional
-        Matrix used as preconditioner in the conjugant gradient algorithm.
+        Matrix used as preconditioner in the conjugate gradient algorithm.
         If None, no preconditioner will be used.
         A callable can be passed to build the preconditioner dynamically: such
         callable should take a single ``initial_model`` argument and return an

src/inversion_ideas/minimize/_minimizers.py

@@ -80,7 +80,7 @@ def __call__(
         initial_model : (n_params) array
             Initial model to start the minimization.
         preconditioner : (n_params, n_params) array, sparray or LinearOperator or Callable, optional
-            Matrix used as preconditioner in the conjugant gradient algorithm.
+            Matrix used as preconditioner in the conjugate gradient algorithm.
             If None, no preconditioner will be used.
             A callable can be passed to build the preconditioner dynamically: such
             callable should take a single ``initial_model`` argument and return an