NQZ

AcronymDefinition
NQZNew Quiet Zone
NQZNeurogenically Quiescent Zone
References in periodicals archive ?
This shows that we can estimate [rho](A) of a nonnegative tensor A with a specified precision via the NQZ algorithm for the computation of p([??]).
[9] modified the NQZ algorithm for computing the spectral radius of A + [epsilon]f, where A is an irreducible nonnegative tensor and [epsilon] is a very small number, and showed that the algorithm converges to [rho](A) + [epsilon].
There is no convergence result of the NQZ algorithm for such A, and the spectral radius of A is equal to [square root of (2)] [perpendicular to] 1.414213562373095; see [8].
There is no convergence result of the NQZ algorithm for such reducible nonnegative tensor.
Although this tensor does not satisfy (49), the spectral radii of [??] by the NQZ algorithm are still accurate approximate of [rho](A): 1.015565072567277 ([epsilon] = 0.01), 1.001139501996208 ([epsilon] = 0.001), 1.000104123060726 ([epsilon] = 0.0001), 1.000010127700654 ([epsilon] = 0.00001), and 1.000001004012030 ([epsilon] = 0.000001).
Let [bar.[lambda]] and u be the output of the NQZ algorithm (stated in Section 2.1) applied to A, and r = [bar.[lambda]][u.sup.[m-1]] - A[u.sup.m-1].
According to the NQZ algorithm stated in Section 2.1, we know that r is nonnegative.