Update cover image and URLs on landing page

_config.yml

@@ -3,7 +3,7 @@
 
 title: Companion code for the book "Hands-On Mathematical Optimization with Python"
 author: The MO Book Group
-logo: media/logo-02.png
+logo: media/cover.jpg
 exclude_patterns: [.DS_Store, "**.ipynb_checkpoints", "**.pytest_cache", "tools"]
 
 # Launch on Google Colab button

intro.md

@@ -1,12 +1,14 @@
 # Hands-On Mathematical Optimization with Python
 
-Welcome to this repository of companion notebooks for the book *[Hands-On Mathematical Optimization with Python](https://www.cambridge.org/highereducation/books/hands-on-mathematical-optimization-with-python/F15ABA8AF886E7E6F7444151F40683A1#overview)*, which will be published by Cambridge University press in October 2024. 
+Welcome to this repository of companion notebooks for the book _[Hands-On Mathematical Optimization with Python](https://www.cambridge.org/highereducation/books/hands-on-mathematical-optimization-with-python/F15ABA8AF886E7E6F7444151F40683A1#overview)_, published by Cambridge University Press.
+
+The book is already available for pre-order on [this webpage](https://www.cambridge.org/us/universitypress/subjects/mathematics/optimization-or-and-risk-analysis/hands-mathematical-optimization-python?format=PB) and on [Amazon](https://www.amazon.com/Hands-Mathematical-Optimization-Python-Krzysztof/dp/1009493507). If you are a lecturer interested in adopting this book for your course, you can request an inspection copy [filling this form](https://cup.my.salesforce-sites.com/Samples?isbn=9781009493505&Title=Hands-On+Mathematical+Optimization+with+Python&Author=Postek+et+al).
 
 This book introduces the concepts and tools of mathematical optimization with examples from a range of disciplines. The goals of these companion notebooks are to:
 
-* Provide a foundation for hands-on learning of mathematical optimization,
-* Demonstrate the tools and concepts of optimization with practical examples,
-* Help readers to develop the practical skills needed to build models and solving problem using state-of-the-art modeling languages and solvers.
+- Provide a foundation for hands-on learning of mathematical optimization,
+- Demonstrate the tools and concepts of optimization with practical examples,
+- Help readers to develop the practical skills needed to build models and solving problem using state-of-the-art modeling languages and solvers.
 
 ## Getting started
 
@@ -16,41 +18,42 @@ All notebooks in this repository can be opened and run in Google Colab. A launch
 
 Start your journey with the [first chapter](/notebooks/01/01.00.md)!
 
-## Help us!
+## Help us
 
-We seek your feedback! If you encounter an issue or have suggestions on how to make these examples better, please open an issue using the link at the top of every page (look for the Github cat icon). 
+We seek your feedback! If you encounter an issue or have suggestions on how to make these examples better, please open an issue using the link at the top of every page (look for the Github cat icon).
 
-## About Us
+## About us
 
 We are a group of researchers and educators who came together with a common purpose of developing materials for use in our classroom teaching. Hopefully, these materials will find use in other classrooms and, most importantly, by those seeking entry into the world of building optimization models for data-rich applications.
 
-* Krzysztof Postek, Boston Consulting Group (formerly TU Delft)
-* Alessandro Zocca, VU Amsterdam
-* Joaquim Gromicho, ORTEC and the University of Amsterdam
-* Jeffrey Kantor, University of Notre Dame
+- Krzysztof Postek, Boston Consulting Group (formerly TU Delft)
+- Alessandro Zocca, VU Amsterdam
+- Joaquim Gromicho, ORTEC and the University of Amsterdam
+- Jeffrey Kantor, University of Notre Dame
 
 ## Citation
 
 If you wish to cite this work, please use
 
 ```
-@book{PZGK2024book,
+@book{PZGK2025book,
   author = {Postek, Krzysztof and Zocca, Alessandro and Gromicho, Joaquim and Kantor, Jeffrey},
   title = {{Hands-On Mathematical Optimization with Python}},
-  year = {2024},
+  year = {2025},
   publisher = {Cambridge University Press},
-  place={Cambridge}
+  place={Cambridge},
+  doi={10.1017/9781009493512}
 }
 ```
 
 and
 
 ```
-@online{PZGK2024online,
+@online{PZGK2025online,
   author = {Postek, Krzysztof and Zocca, Alessandro and Gromicho, Joaquim and Kantor, Jeffrey},
   title = {Companion Jupyter Book for {``Hands-On Mathematical Optimization with Python’’}},
-  year = {2024},
+  year = {2025},
   publisher = {GitHub},
   howpublished = {\url{https://github.com/mobook/MO-book}},
 }
-```
+```