During the first n start iterations, the parameter ψ is set to zero, so that z moves towards the most prominent contours.
We observed that in practical cases whenever this bound is smaller than some (whose actual value depends on normalization of ) convergence is always achieved and the correct is returned by Newton-Raphson, (ii we set to start iterations as we expect to define a relatively "thin" feasible space.
Our approach, for each separate potential area-level index, was to use the nonrandomly varying form of equation 2 (uk j set to 0) as a starting iteration.
For each analysis the Gelman-Rubin statistic (as modified by Brooks and Gelman [ 20]) was visually inspected based on a graphical plot of the starting iteration of each range illustrating the approximate point of convergence.
When the K-means model was applied on the dataset with feature selection filtering, again five clusters (with starting iteration of 6.44) were generated, with 173, 13, five, two, and one records in each cluster, respectively.
In this clustering model, more than 76% of the records (n = 148) were put into the first cluster and four, 15, one, and 26 records were put into the second, third, fourth, and fifth clusters, respectively, with the starting iteration of 9.42.
The very first iteration starts with a set of specified initial values.
Only [I] is re-calculated at each iteration while [G] or [G]−1 is constant and calculated before starting the first iteration.
Interference cancelation is performed starting from the first iteration.
Agile approaches emphasise the importance of producing working software early and frequently starting from the first iteration cycle [40].
