Seven open problems in applied combinatorics
Sinan G. Aksoy, Ryan Bennink, Yuzhou Chen, José Frías, Yulia R. Gel, Bill Kay, Uwe Naumann, Carlos Ortiz Marrero, Anthony V. Petyuk, Sandip Roy, Ignacio Segovia-Dominguez, Nate Veldt
arXiv:2303.11464v16 citationsh-index: 32
Originality Synthesis-oriented
AI Analysis
It identifies challenges for researchers in applied combinatorics, but is incremental as it compiles existing open problems without new findings.
The paper presents seven open problems in applied combinatorics across areas such as quantum computing, algorithmic differentiation, and topological data analysis, but does not provide solutions or results.
We present and discuss seven different open problems in applied combinatorics. The application areas relevant to this compilation include quantum computing, algorithmic differentiation, topological data analysis, iterative methods, hypergraph cut algorithms, and power systems.