Category Archives: Numerical Analysis

Decision Tree Classifier – Part 1

To continue my blogging on machine learning (ML) classifiers, I am turning to decision trees. The post on decision trees will be in two parts. Part 1 will provide an introduction to how decision trees work and how they are … Continue reading

Posted in Machine Learning, Numerical Analysis | Tagged ,

k Nearest Neighbor Classifier

On my blog space I am going to share with you example implementations of the most common machine learning techniques. The code will be either in C# or Python. This is the first post in the series of several posts … Continue reading

Posted in Machine Learning, Numerical Analysis | Tagged ,

Solving ODEs Numerically

In this post we are going to look at two methods for approximating a solution to some ordinary differential equation. We will only consider the first order separable initial value problems. Here, the ‘first order’ means that the problem contains … Continue reading

Posted in Numerical Analysis | Tagged ,

Solving Nonlinear Equations Numerically

Knowing the roots of some nonlinear equation allows us to answer the question about which values of x make equal to zero. There are many approaches to findings the roots of equation in nonlinear algebra. Some of the well-known ones … Continue reading

Posted in Numerical Analysis | Tagged ,

Comparing Numerical Integration Methods

In this post I will re-introduce and compare four well-known numerical integration techniques for approximating definite integrals of single-variable functions (e.g. polynomials). The compared techniques, in the order of least to the most accurate, are: Rectangle rule; Mid-point rule; Trapezoid … Continue reading

Posted in Numerical Analysis | Tagged ,