Update documentation

Author: Abhijnan03

_sources/index.md

@@ -1,5 +1,5 @@
 # Introduction
-This jupyter-book provides python implementation for various concepts and algorithms related to **surrogate modeling** and **surrogate-based optimization**. The jupyter-book has been created by the **Computational Design (CODE) Laboratory** led by **Prof. Leifur Leifsson** at **Purdue University**. This jupyter-book is intended to be used as a starting point for new users of surrogate methods to implement the concepts and algorithms for their own work uisng open source codes. The creation of this jupyter-book is funded partly by the National Science Foundation (NSF) award number 2223732. 
+This jupyter-book provides python implementation for various concepts and algorithms related to **surrogate modeling** and **surrogate-based optimization**. The jupyter-book has been created by the **Computational Design (CODE) Laboratory** led by **Prof. Leifur Leifsson** at **Purdue University**. This jupyter-book is intended to be used as a starting point for new users of surrogate methods to implement the concepts and algorithms for their own work using open source codes. The creation of this jupyter-book is funded partly by the National Science Foundation (NSF) award number 2223732. 
 
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index.html

@@ -389,7 +389,7 @@ <h2> Contents </h2>
 
   <section class="tex2jax_ignore mathjax_ignore" id="introduction">
 <h1>Introduction<a class="headerlink" href="#introduction" title="Permalink to this heading">#</a></h1>
-<p>This jupyter-book provides python implementation for various concepts and algorithms related to <strong>surrogate modeling</strong> and <strong>surrogate-based optimization</strong>. The jupyter-book has been created by the <strong>Computational Design (CODE) Laboratory</strong> led by <strong>Prof. Leifur Leifsson</strong> at <strong>Purdue University</strong>. This jupyter-book is intended to be used as a starting point for new users of surrogate methods to implement the concepts and algorithms for their own work uisng open source codes. The creation of this jupyter-book is funded partly by the National Science Foundation (NSF) award number 2223732.</p>
+<p>This jupyter-book provides python implementation for various concepts and algorithms related to <strong>surrogate modeling</strong> and <strong>surrogate-based optimization</strong>. The jupyter-book has been created by the <strong>Computational Design (CODE) Laboratory</strong> led by <strong>Prof. Leifur Leifsson</strong> at <strong>Purdue University</strong>. This jupyter-book is intended to be used as a starting point for new users of surrogate methods to implement the concepts and algorithms for their own work using open source codes. The creation of this jupyter-book is funded partly by the National Science Foundation (NSF) award number 2223732.</p>
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