Problem Generators and Code for the Paper "Methods for Finding Paths of a Prescribed Length in Weighted Graphs"

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Authors: Daniel Hambly
Cited by: 0

Abstract

The code for generating random or planar graphs is contained in graphGeneration.py, while the code for downloading real-world street networks is provided in downloadNetwork.py. Implementations for removing redundant nodes and smoothing intermediate nodes are found in reductionTechniques.py, whereas the shortest-path removal technique and the methods for finding an s-t path of a prescribed length are implemented in heuristicMethods.cpp. Instructions for executing these programs from the command line are provided in UserGuideKPP.pdf.

Fields of Study & Subjects

Complexity and Algorithms in Graphs Graph Theory and Algorithms Robotic Path Planning Algorithms

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 January 2026
Language
EN