Article ID Journal Published Year Pages File Type
6872451 Discrete Applied Mathematics 2014 13 Pages PDF
Abstract
Finding an optimal ordering is easy when the tests are completely independent. Introducing precedence constraints, we show that the optimization problem becomes NP-hard when the constraints are given by means of a general partial order. Restrictions of the constraints to non-trivial special cases that allow for low-order polynomial-time algorithms are examined.
Related Topics
Physical Sciences and Engineering Computer Science Computational Theory and Mathematics
Authors
, , , , ,