Elementary Loops Revisited

Authors: Jianmin Ji, Hai Wan, Peng Xiao, Ziwei Huo, Zhanhao Xiao

AAAI 2014 | Conference PDF | Archive PDF | Plain Text | LLM Run Details

Reproducibility Variable Result LLM Response
Research Type Experimental The experiments show that, for certain programs whose dependency graphs consisting of sets of components that are densely connected inside and sparsely connected outside, the new algorithm is more efficient. Table 1 contains the numbers and running times of elementary loops and proper loops for these HC programs.
Researcher Affiliation Academia a School of Computer Science and Technology, University of Science and Technology of China, Hefei, China jianmin@ustc.edu.cn b School of Software, Sun Yat-sen University, Guangzhou, China wanhai@mail.sysu.edu.cn c School of Information Science and Technology, Sun Yat-sen University, Guangzhou, China
Pseudocode Yes Algorithm 1 Elementary Loop(L, P); Algorithm 2 Proper Loop(L, P, S); Algorithm 3 Proper Loops(P, S); Algorithm 4 Minimal Separator(P, L); Algorithm 5 Proper Loops (P, L)
Open Source Code No The information provided does not contain an explicit statement or link for the open-source code of the methodology described in this paper. It mentions a website for 'more information' but not explicitly for code.
Open Datasets No For Hamiltonian Circuit (HC) problem (Niemel a 1999), we consider graphs that represent networks consisting of sets of components which are densely connected inside but have only a few connections among them... For each M-N-K entry in the table, we randomly created 20 different such graphs... The graphs were created, not obtained from a public dataset with a link or citation for access.
Dataset Splits No The paper does not provide specific details on training, validation, or test dataset splits. The experiments are conducted on randomly created graphs, but no explicit data partitioning information is given.
Hardware Specification Yes Our experiments were done on an AMD A10-5800K (3.8GHz) CPU and 3.3GB RAM.
Software Dependencies No The paper mentions 'Linux /usr/bin/time command' but does not specify any programming languages, libraries, or other software dependencies with version numbers required to replicate the experiments.
Experiment Setup Yes Specifically, we consider graphs of the form M-N-K: a graph with M copies of the complete graph with N nodes, C1, . . ., CM, and with K arcs from Ci to Ci+1, for each 1 i M (CM+1 is defined to be C1). For each M-N-K entry in the table, we randomly created 20 different such graphs...