Increase SciPy version requirement to avoid unpredictable behaviour

Author: lindon

README.rst

@@ -51,7 +51,7 @@ DFO-LS requires the following software to be installed:
 Additionally, the following python packages should be installed (these will be installed automatically if using *pip*, see `Installation using pip`_):
 
 * NumPy 1.11 or higher (http://www.numpy.org/)
-* SciPy 0.18 or higher (http://www.scipy.org/)
+* SciPy 1.11 or higher (http://www.scipy.org/)
 * Pandas 0.17 or higher (http://pandas.pydata.org/)
 
 **Optional package:** DFO-LS versions 1.2 and higher also support the `trustregion <https://github.com/lindonroberts/trust-region>`_ package for fast trust-region subproblem solutions. To install this, make sure you have a Fortran compiler (e.g. `gfortran <https://gcc.gnu.org/wiki/GFortran>`_) and NumPy installed, then run :code:`pip install trustregion`. You do not have to have trustregion installed for DFO-LS to work, and it is not installed by default.

docs/install.rst

@@ -10,7 +10,7 @@ DFO-LS requires the following software to be installed:
 Additionally, the following python packages should be installed (these will be installed automatically if using *pip*, see `Installation using pip`_):
 
 * NumPy 1.11 or higher (http://www.numpy.org/)
-* SciPy 0.18 or higher (http://www.scipy.org/)
+* SciPy 1.11 or higher (http://www.scipy.org/)
 * Pandas 0.17 or higher (http://pandas.pydata.org/)
 
 **Optional package:** DFO-LS versions 1.2 and higher also support the `trustregion <https://github.com/lindonroberts/trust-region>`_ package for fast trust-region subproblem solutions. To install this, make sure you have a Fortran compiler (e.g. `gfortran <https://gcc.gnu.org/wiki/GFortran>`_) and NumPy installed, then run :code:`pip install trustregion`. You do not have to have trustregion installed for DFO-LS to work, and it is not installed by default.

requirements.txt

@@ -1,3 +1,3 @@
 numpy>=1.11
-scipy>=0.18
-pandas>=0.17
+scipy>=1.11
+pandas>=0.17