Structural Graph Theory and Discrete Optimization

Graph theory and discrete optimization are fundamental subjects in the fields of information theory, data analysis, network study and communication, and they have been applied widely in information technology for several decades. Graph theory is closely related to many mathematical subjects, such as, algebra, number theory and topology. The main purpose of this workshop is to bring together people working in graph theory and discrete optimization to exchange their ideas, communicate the latest research results and develop further collaborations. Topics included but not limited to the following areas.

Structural graph theory; including, graph coloring, graph symmetry;
Algebraic graph theory, Hamilton cycle and eulerian tour; Discrete optimization and algorithm
Open problems in Graph theory and algorithms.