In complexity theory, we try to figure out, how fast we can solve a problem. We discuss both how fast an existing algorithm for a problem is as well as whether there are inherent limits to how fast an algorithm can possibly solve a problem. Usually, one analyzes how long it takes an algorithm to solve a given problem instance from receiving the input data until completing computation and producing the output data. In my research I attempt an even more precise analysis: When provided with the input data, how long does it take till the first part of the solution is done? When will the second, third, … part be completed?
Currently, we are working on enumerating solutions to scheduling problems.