traffic.qw

<p>This data is generated by function 'qwdap.qwalk()' with 100 scaling factors form 0.01 to 1 and the parameter 'edges' is the adjancy matrix of 7 vertices connected end to end.</p>

datasets

The modeling and prediction of graph-associated time series(GATS) based on continuous time quantum walk. This software is mainly used for feature extraction, modeling, prediction and result evaluation of GATS, including continuous time quantum walk simulation, feature selection, regression analysis, time series prediction, and series fit calculation. A paper is attached to the package for reference.

Binghuang Pan

QWDAP

Quantum Walk-Based Data Analysis and Prediction

Zhaoyuan Yu

Xu Hu

Yuhao Teng

traffic.qw function

Format

A set of modes generated by quantum walk — traffic.qw

A set of modes generated by quantum walk

traffic.qw: A set of modes generated by quantum walk

Description

Usage

Arguments

Format