…mentation

- updated test cases according to changed default parameters
- applied automated code formatting to all changed files and test-files

# Conflicts:
#	neurolib/optimal_control/cost_functions.py
#	neurolib/optimal_control/oc_fhn/oc_fhn.py
#	neurolib/optimal_control/oc_fhn/oc_fhn_jit.py
#	neurolib/optimal_control/tests/test_fhn_noisy.py

…alities (i.e. NxVxT)

…ng fully equivalent to deterministic model example (prec_mat & control_mat)

- Cmat entries set to interval [0,1] in test_fhn.py and deterministic example

- inherit from OC-baseclass for OC of fhn, passes all tests for fhn-OC
- updated docstrings
- use "isinstance(x, type(None))" for None-checks

- Jacobian for Hopf model
- code formatting

…performance in the example files

…OC -> 'self.model' is deepcopy of the passed 'model'

- restructured: jit-functions into the file of derived OC class definition
- updated comments & documentation
- identified "compute_gradient" as model dependent in its current implementation
- Dxdot is currently unused for Hopf & FHN
- single test case for Hopf, rely on tests for FHN for shared methods for the moment
- updated dt in example to avoid numerical inaccuracies

- place plotting functions of examples in oc-utility-folder
- provide a single example (using the FHN), since completely analogous for Hopf

…precision_cost x7, precision_cost x2 with better readability), all tests passed

…nctions_numba

- update of docstrings

…lue of the control strength at all points in time. Passes tests.

- added new attribute 'maximum_control_strength' to the 'OC' class to set the absolute maximum value for the control strength
- test cases for the new function 'update_control_with_limit'

…erived oc-classes

…d parameter in function calls

- adjusted corresponding test cases

…d repeated checks of specification and allow notation with "negative indices" in Oc-object initialization

- added 'convert_interval' to allow for the different ways of interval specification
- updated function calls accordingly
- changed test structure: separate tests for the interval-specification

…re first optimization

- added: new test cases; passes all tests
- minor fixes

- checks for repeated calls of ".optimize()"
- new test cases
- removed unused variable and old comments

- jit the compute_gradient-functions
- added documentation & docstrings

     * adaptive step-size reduction or -increment, reduces relevance of hyperparameter for initial step size
     * memorize last step, heavily increases efficiency in many cases
- added very generic test case for step-size computation based on derived OcWc-class
- "convert_interval" not further numba-compiled
- improved documentation, added type-description in model specific OC classes
- added todo-hints for automated control-adjustments
- set default of "precision_cost_interval" in OcWc to same values as for the the other models

- remove distinction (not-)noisy step within the noise-free step size computation, that is not required at this point
- add test case for zero-step

…setting in the adaptive step-size algorithm

- "factor_down**2" in loop for finding numerically stable regime for faster exit of loop
- call the new step-size function for noisy case and delete unused method
-> passes all tests in test-oc and test-fhn-noisy
- adjust parameters in test case to range [0,1] in Cmat

- changed variable names for clarity

- fix typos and add comments
- rename variables and functions for clarity

…ee models

This reverts commit 0543c8a.

- variable naming for clarity
- remove unused code and comments
- use fixed seed in test-cases for reproducibility in all cases