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GD v.s. CGD for Linear Regression

Gradient Descent (GD) v.s. Conjugate Gradient Descent (CGD) for 2-D Linear Regression

Introduction

This is one part of the course assignment for HKUST-GZ MICS 6000I Physical Design Automation of Digital Systems. This project is alive, maintained by [email protected]. Any discussion or suggestion would be greatly appreciated!

Requirements

  • Python 3.9
    • ply 3.11
    • matplotlib 3.5.1
    • logging 0.5.1.2
    • numpy 1.21.5

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Gradient Descent (GD) v.s. Conjugate Gradient Descent (CGD) for 2-D Linear Regression

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