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