<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Numerical Methods |</title><link>https://porushy.github.io/tags/numerical-methods/</link><atom:link href="https://porushy.github.io/tags/numerical-methods/index.xml" rel="self" type="application/rss+xml"/><description>Numerical Methods</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Tue, 30 Apr 2019 00:00:00 +0000</lastBuildDate><image><url>https://porushy.github.io/media/icon_hu_6a46348f2384c7d5.png</url><title>Numerical Methods</title><link>https://porushy.github.io/tags/numerical-methods/</link></image><item><title>Optimization Algorithm</title><link>https://porushy.github.io/projects/optimization-algorithm/</link><pubDate>Tue, 30 Apr 2019 00:00:00 +0000</pubDate><guid>https://porushy.github.io/projects/optimization-algorithm/</guid><description>&lt;p&gt;Jan 2019 – Apr 2019&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Developed an algorithm to find the orthogonal projection of a point on a parametric curve, and approximated a given function based on discrete data.&lt;/li&gt;
&lt;li&gt;Used Newton&amp;rsquo;s method to find the root, and Chebyshev interpolation by choosing Chebyshev nodes as interpolating points in MATLAB.&lt;/li&gt;
&lt;/ul&gt;</description></item></channel></rss>