From 397ba81d210dad7331626e4bbaccfca3b745576c Mon Sep 17 00:00:00 2001
From: Christian Kolset <christian.kolset@gmail.com>
Date: Wed, 5 Nov 2025 10:13:24 -0700
Subject: Removed book/ from tracking

---
 book/module2/intro_to_numerical_methods.tex | 41 -----------------------------
 1 file changed, 41 deletions(-)
 delete mode 100644 book/module2/intro_to_numerical_methods.tex

(limited to 'book/module2/intro_to_numerical_methods.tex')

diff --git a/book/module2/intro_to_numerical_methods.tex b/book/module2/intro_to_numerical_methods.tex
deleted file mode 100644
index 737d69d..0000000
--- a/book/module2/intro_to_numerical_methods.tex
+++ /dev/null
@@ -1,41 +0,0 @@
-\section{Numerical Methods}\label{numerical-methods}
-
-Engineering
-
-\subsection{What is a numerical
-method?}\label{what-is-a-numerical-method}
-
-Numerical methods are techniques that transform mathematical problems
-into forms that can be solved using arithmetic and logical operations.
-Because digital computers excel at these computations, numerical methods
-are often referred to as computer mathematics.
-
-\subsection{Numerical Differentiation}\label{numerical-differentiation}
-
-Forwards difference Backwards difference
-
-\href{https://pythonnumericalmethods.studentorg.berkeley.edu/notebooks/chapter20.00-Numerical-Differentiation.html}{Read
-More}
-
-\subsection{Roots and Optimization}\label{roots-and-optimization}
-
-Incremental Search Bisection Modified Secant Newton-Raphson
-
-\subsection{Numerical Integration}\label{numerical-integration}
-
-Trapezoidal
-
-Simpson's Rule
-
-\href{https://pythonnumericalmethods.studentorg.berkeley.edu/notebooks/chapter21.00-Numerical-Integration.html}{Read
-More}
-
-\subsection{Numerical Solutions of Ordinary Differential
-Equations}\label{numerical-solutions-of-ordinary-differential-equations}
-
-Euler's Method - Forward - Backwards
-
-Runge-Kutta Method
-
-\href{https://pythonnumericalmethods.studentorg.berkeley.edu/notebooks/chapter22.00-ODE-Initial-Value-Problems.html}{Read
-More}
-- 
cgit v1.2.3

