In this paper, we investigate a nonconvex fractional quadratically constrained quadratic problem (fractional QCQP), which has a wide application to the resource allocation optimization in wireless ...

Fractional learning algorithms are trending in signal processing and adaptive filtering recently. However, it is unclear whether their proclaimed superiority over conventional algorithms is ...

This article presents a collective filter forthe overall performance evaluation of a resampling algorithm basedon fractional sample delay (FSD) filters. The problem with a resampling algorithm is, for ...

The first algorithm is based on an objective space cut and bound method for solving convex FP problems and the second algorithm is based on the proposed bi-objective algorithm for solving nonlinear FP ...

In a fraction of the run time required by DETMAX, the sequential algorithm finds a design with a relative D-efficiency of 46.4009 / 46.4922 = 99.8% compared to the best design found by the DETMAX ...

Recall that, by default, the procedure uses a dynamic programming algorithm for arc routing if the number of tracks is restricted to be less than the maximum number of successors. Thus, for this ...