Linear functions are used to model a broad range of real-world problems. The ability to solve linear equations and inequalities is an essential skill for analysing these models. This section covers ...

Abstract: In recent years, there has been a growing interest in graph signal processing due to its capability to model and analyze irregular data generated by wireless sensor networks (WSNs).

Abstract: We propose a robust framework for planar pose graph optimization contaminated by loop closure outliers. Our framework rejects outliers by first decoupling the robust PGO problem wrapped by a ...

Use this page to revise the following concepts within correlation and least squares regression line : Note that a correlation shows the strength of the association between two variables, but it does ...

Introduction: Food price volatility continues to be a significant concern in Kenya's economic development, posing challenges to the country's economic stability. Methodology: This study examines the ...

This project implements linear regression from scratch, using only Python and math — no machine learning libraries like scikit-learn are used. It's a great educational example of how linear regression ...