A Still Simpler Way of Introducing the Interior-Point Method for Linear Programming
Kurt Mehlhorn, Sanjeev Saxena
TL;DR
This paper presents a simplified, self-contained introduction to the interior-point method for linear programming, tailored for computer science students with limited mathematical background.
Contribution
It offers a more accessible, self-contained explanation of the interior-point method, making it easier for CS students to understand without advanced linear algebra or calculus.
Findings
Simplified explanation of interior-point method
Accessible for students with basic linear algebra and calculus
Enhances teaching of linear programming in CS courses
Abstract
Linear programming is now included in algorithm undergraduate and postgraduate courses for computer science majors. We give a self-contained treatment of an interior-point method which is particularly tailored to the typical mathematical background of CS students. In particular, only limited knowledge of linear algebra and calculus is assumed.
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