Docs: Update mo-book name

ampl · Dec 5, 2023 · e076a82 · e076a82
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diff --git a/docs/source/examples.rst b/docs/source/examples.rst
@@ -7,6 +7,8 @@ This section lists a few examples in Python.
 These are the same files that can be found in the *examples* directory of the
 distribution, and show the basic usage of the Python API.
 
+There are many more notebooks with examples are available on the new book `AMPL Model Colaboratory <https://colab.ampl.com/>`_
+and the new book `Hands-On Mathematical Optimization with AMPL in Python 🐍 <https://ampl.com/mo-book/>`_.
 
 Example 1: First steps
 ----------------------

diff --git a/docs/source/getting-started.rst b/docs/source/getting-started.rst
@@ -95,7 +95,7 @@ at the beginning of your notebook:
     They are equivalent to ``ampl.eval("""cell content""")``.
 
 Many notebooks with examples are available on the `AMPL Model Colaboratory <https://colab.ampl.com/>`_
-and the new book `Hands-On Optimization with AMPL in Python 🐍 <https://ampl.com/mo-book/>`_.
+and the new book `Hands-On Mathematical Optimization with AMPL in Python 🐍 <https://ampl.com/mo-book/>`_.
 
 Initial test
 ------------

diff --git a/docs/source/index.rst b/docs/source/index.rst
@@ -20,7 +20,7 @@ without losing model readability. The same model can be deployed on applications
 built on different languages by just switching the API used.
 
 .. image:: https://portal.ampl.com/dl/ads/mo_book_big.png
-  :alt: Hands-On Optimization with AMPL in Python 
+  :alt: Hands-On Mathematical Optimization with AMPL in Python
   :target: https://ampl.com/mo-book/
 
 .. grid:: 1 1 2 2

diff --git a/docs/source/quick-start.rst b/docs/source/quick-start.rst
@@ -68,7 +68,7 @@ Full class reference is given in :ref:`secReferencePython`.
             :alt: Open In SageMaker Studio Lab
 
 There are many more notebooks with examples are available on the new book `AMPL Model Colaboratory <https://colab.ampl.com/>`_
-and the new book `Hands-On Optimization with AMPL in Python 🐍 <https://ampl.com/mo-book/>`_.
+and the new book `Hands-On Mathematical Optimization with AMPL in Python 🐍 <https://ampl.com/mo-book/>`_.
 
 Complete listing
 ----------------