Algorithm Engineering is a methodology for algorithmic research that combines theory with implementation and experimentation in order to obtain better algorithms with high practical impact. Traditionally, the study of algorithms was dominated by mathematical (worst-case) analysis. In Algorithm Engineering, algorithms are also implemented and experiments conducted in a systematic way, sometimes resembling the experimentation processes known from fields such as biology, chemistry, or physics. This helps in counteracting an otherwise growing gap between theory and practice.
Lasse Kliemann
computational geometry experimental algorithmics genetic algorithms theoretical foundations visualization benchmarking clustering constraint optimization data structures evolving networks GPU industrial production large-scale networks linear programming production systems