It is fun to look at how the iterates move in newton's iterations in the case of $latex Sin(x) $ function. The iterate derived in the previous post is as follows $latex x(n+1) = x(n) - Tan(x(n)) $ If one start at start around 2 we quickly converge to the solution. 🙂 The sin function… Continue reading Newtons iteration as a map – Part 2

# Newton’s iteration as map – Part 1

Newton Iterations is a well known methodology to compute the solution of the problem f(x) = 0. It is very interesting to look at it as a map. The iteration step is as follows for x(n+1). Let the function be Sin(x) then it results in the following map The plot of the function and the… Continue reading Newton’s iteration as map – Part 1

# Privacy Policy – ChooseRight App

Privacy Policy Midhun P Unni built the chooseright app as a Free app. This SERVICE is provided by Midhun P Unni at no cost and is intended for use as is. This page is used to inform visitors regarding my policies with the collection, use, and disclosure of Personal Information if anyone decided to use… Continue reading Privacy Policy – ChooseRight App

# ChooseRight

I happened to have developed an android application to help us choose when we have multiple options. My description of the app in the playstore is given here. The idea is not to develop a perfect algorithm that uses the answers to say which is the best option for you but understand the way you… Continue reading ChooseRight

# Mathematica for machine learning – Learning a map

Mathematica newly introduced machine learning to its kitty. And I was excited to see its capabilities! So I decided to test its RNN abilities..to begin with (Really RNN!). So here is a simple problem for Mathematica's RNN chain to learn - A simple map 2x Mod 1. You start with a number say 'x' the… Continue reading Mathematica for machine learning – Learning a map