use_api.md

@@ -41,9 +41,9 @@ Once the parameters have been defined, SDPM can simply be initialized by calling
 
 ```python
 from sdpm.api.core import init_sdpm
-_sdpm = init_sdpm(cfg, use_ad=False)
+_sdpm = init_sdpm(cfg)
 ```
-where `use_ad` indicates whether the adjoint sovler must be instantiated or not. `_sdpm` is a dictionary containing the following objects (named after their key):
+where `_sdpm` is a dictionary containing the following objects (named after their key):
 * `n_f` is the number of reference reduced frequencies
 * `n_m` is the number of modes
 * `msh` is the mesh
@@ -51,7 +51,7 @@ where `use_ad` indicates whether the adjoint sovler must be instantiated or not.
 * `pbl` is the formulation of the problem
 * `bdy` is the body of interest
 * `sol` is the direct solver
-* `adj` is the adjoint solver
+* `grd` is the gradient calculator
 
 ### OMFlut
 SDPM has been interfaced with [OMFlut](https://gitlab.uliege.be/am-dept/omflut), which is built on top of [OpenMDAO](https://openmdao.org/), in order to calculate flutter. SDPM must be initialized inside an OpenMDAO group using a builder which will latter be reused by OMFlut.