GRAPHALGAPP · Challenges in Graph Algorithms with Applications

This project has two thrusts of equal importance. Firstly, it aims to develop new graph algorithmic techniques, specifically in the areas of dynamic graph algorithms, online algorithms and approximation algorithms for graph-based optimization problems. Thus, it proposes to solve long-standing, fundamental problems that are central to the field of algorithms. Secondly, it plans to apply these techniques to graph algorithmic problems in different fields of application, specifically in computer-aided verification, computational biology, and web-based advertisement with the goal of significantly advancing the state-of-the-art in these fields. This includes theoretical work as well as experimental evaluation on real-life data sets.Thus, the goal of this project is a comprehensive approach to algorithms research which involves both excellent fundamental algorithms research as well as solving concrete applications.