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DOC: mention minimize() in optimize tutorial, add Denis Laxalde to TH…

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1 parent 502c31f commit 3dc54851af772e8c7e210f79ea994a7bbd55583d @rgommers rgommers committed
Showing with 5 additions and 1 deletion.
  1. +1 −0 THANKS.txt
  2. +4 −1 doc/source/tutorial/optimize.rst
1 THANKS.txt
@@ -95,6 +95,7 @@ Fazlul Shahriar for fixes to the NetCDF3 I/O.
Chris Jordan-Squire for bug fixes, documentation improvements and
scipy.special.logit & expit.
Christoph Gohlke for many bug fixes and help with Windows specific issues.
+Denis Laxalde for the unified interface to minimizers in scipy.optimize.
5 doc/source/tutorial/optimize.rst
@@ -8,7 +8,7 @@ Optimization (:mod:`scipy.optimize`)
.. currentmodule:: scipy.optimize
The :mod:`scipy.optimize` package provides several commonly used
-optimization algorithms. An detailed listing is available:
+optimization algorithms. A detailed listing is available:
:mod:`scipy.optimize` (can also be found by ``help(scipy.optimize)``).
The module contains:
@@ -18,6 +18,9 @@ The module contains:
BFGS, :func:`fmin_ncg`: Newton Conjugate Gradient,
:func:`leastsq`: Levenberg-Marquardt, :func:`fmin_cobyla`: COBYLA).
+ The unconstrained solvers also have a unified interface, :func:`minimize`,
+ which can be used to easily compare and switch between algorithms.
2. Global (brute-force) optimization routines (e.g., :func:`anneal`)
3. Curve fitting (:func:`curve_fit`)

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