Sentence examples for the spread of solution from inspiring English sources

To examine the spread of solution in the epidural space of sternally recumbent dogs.

This metric specifies the spread of solution set and calculated as follows: DM = sqrt {sumlimits_{i = 1}^{n} {hbox{max} (left| {x_{t}^{i} - y_{t}^{i} } right|)} } (35 where max (‖x t i  − y t i ‖) is the Euclidean distance between the non-dominated solutions x i t  and y i t.  .

Recently, an inverted penalty-based boundary intersection (IPBI) scalarizing function was proposed to improve the spread of solutions obtained by MOEA/D.

The immersion process has sanctioned the spreading of solution over the template's wall by creating an approximately 20 nm of wall thickness.

Results indicate significant improvements while the spreading of solutions on the design space revealed a large number of potentialities.

Although we noticed that the wax is somewhat permeable to small molecules and oxygen (see below), it effectively prevents the spreading of solutions and confines the gels and cells within their zones (Fig. 1B).

In contrast, one disadvantage of Cal-520 was that the spread of dye solution was smaller than that of OGB-1 (data not shown) and thus multiple injections might be required for the imaging of large areas.

This metric gives us information about the uniformity of the spread of the solutions obtained by means of each algorithm.

In all cases the adaptive noise approach seems to significantly improve the spread of the solutions around the mean (although the effect of a slight shift of the mean position needs some further investigations) and the proposed FDE schemes were able to eliminate the imposed GNSS fault of 15 meters both in RBE and non-RBE approaches supported with constant and adaptive noise models.

To calculate the spread of the solutions in the final Pareto frontier found by each algorithm, the diversity metric is used and computed by: D = ∑ i = 1 n max ( x i − y i ; → x, → y ∈ F ) Open image in new window (34).

The presented parameter fitting pipeline can effectively fit numerous parameters simultaneously, and through the iterative generation of new experimental designs for simulations, the method provides an overview of the spread of possible solutions, as well as possible clusters of suitable parameter values.