<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Least_squares on Ned Charles's Website</title><link>https://nedcharles.com/tags/least_squares/</link><description>Recent content in Least_squares on Ned Charles's Website</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Wed, 15 Apr 2020 08:00:00 -0600</lastBuildDate><atom:link href="https://nedcharles.com/tags/least_squares/index.xml" rel="self" type="application/rss+xml"/><item><title>Using Python Multiprocessing with NLLS Regression</title><link>https://nedcharles.com/articles/using_python_multiprocessing_with_nlls_regression/</link><pubDate>Wed, 15 Apr 2020 08:00:00 -0600</pubDate><guid>https://nedcharles.com/articles/using_python_multiprocessing_with_nlls_regression/</guid><description>A comparison of Nonlinear Least Squares Regression fitting on simulated data in Python, using the multiprocessing module versus a standard for loop</description></item><item><title>Nonlinear Least Squares Regression for Python</title><link>https://nedcharles.com/articles/nonlinear_least_squares_regression_for_python/</link><pubDate>Tue, 25 Feb 2020 12:00:00 -0600</pubDate><guid>https://nedcharles.com/articles/nonlinear_least_squares_regression_for_python/</guid><description>A walkthrough of some options for Nonlinear Least Squares Regression fitting in Python, including SciPy&amp;rsquo;s curve_fit and least_squares, along with the module LMFit</description></item></channel></rss>