Updated documentation for v1.4 release

Author: lindonroberts

docs/build/doctrees/diagnostic.doctree

@@ -1,4 +1,4 @@
 # Sphinx build info version 1
 # This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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+config: 6a2288786364dcb1761dcd61fd935f30
 tags: 645f666f9bcd5a90fca523b33c5a78b7

docs/build/doctrees/environment.pickle

@@ -1,6 +1,6 @@
 Diagnostic Information
 ======================
-In :doc:`userguide`, we saw that the output of Py-BOBYQA returns a container which includes diagnostic information about the progress of the algorithm (:code:`soln.diagnostic_info`). This object is a `Pandas <http://pandas.pydata.org/>`_ DataFrame, with one row per iteration of the algorithm. In this section, we explain the meaning of each type of output (the columns of the DataFrame).
+In :doc:`userguide`, we saw that the output of Py-BOBYQA returns a container which includes diagnostic information about the progress of the algorithm (:code:`soln.diagnostic_info`). This object is a `Pandas <http://pandas.pydata.org/>`_ DataFrame, with one row per iteration of the algorithm. If Pandas is not available, it returns a dictionary where each key listed below has a list of values, one per iteration of the algorithm. In this section, we explain the meaning of each type of output (the columns of the DataFrame).
 
 To save this information to a CSV file, use:
 

docs/build/doctrees/history.doctree

@@ -39,3 +39,10 @@ Version 1.2 (25 Feb 2020)
 Version 1.3 (14 Apr 2021)
 -------------------------
 * Remove NumPy deprecation warnings from use of np.int and np.float
+
+Version 1.4 (16 May 2023)
+-------------------------
+* Return diagnostic information as dictionary if Pandas not available (removes Pandas dependency)
+* Handle Nan/Inf values in model gradient and Hessian by gracefully exiting trust-region subproblem
+* Bugfix: automatically make model Hessian symmetric before trust-region subproblem with warning, instead of returning an error
+* Bugfix: reset slow iteration counter when doing soft restarts

docs/build/doctrees/index.doctree

@@ -10,7 +10,7 @@ Py-BOBYQA: Derivative-Free Optimizer for Bound-Constrained Minimization
 
 **Date:** |today|
 
-**Author:** `Lindon Roberts <lindon.roberts@maths.ox.ac.uk>`_
+**Author:** `Lindon Roberts <lindon.roberts@sydney.edu.au>`_
 
 Py-BOBYQA is a flexible package for finding local solutions to nonlinear, nonconvex minimization problems (with optional bound constraints), without requiring any derivatives of the objective. Py-BOBYQA is a Python implementation of the `BOBYQA <http://mat.uc.pt/~zhang/software.html#powell_software>`_ solver by Powell (documentation `here <http://www.damtp.cam.ac.uk/user/na/NA_papers/NA2009_06.pdf>`_). It is particularly useful when evaluations of the objective function are expensive and/or noisy.
 

docs/build/doctrees/install.doctree

@@ -11,7 +11,7 @@ Additionally, the following python packages should be installed (these will be i
 
 * `NumPy 1.11 or higher <http://www.numpy.org/>`_ 
 * `SciPy 0.18 or higher <http://www.scipy.org/>`_
-* `Pandas 0.17 or higher <https://pandas.pydata.org/>`_
+* Optionally, `Pandas 0.17 or higher <https://pandas.pydata.org/>`_, to return the diagnostic information as a DataFrame
 
 **Optional package:** Py-BOBYQA 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 Py-BOBYQA to work, and it is not installed by default.