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(A lower graph ) Width at 50% amplitude (mean and SD) of rod flash responses, obtained here with loose seal recordings to avoid kinetics rundown (n = 4, 24°C).
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The design of such algorithms usually consists of two main steps: first find a branch (or tree) decomposition of the input graph whose width is bounded by a sublinear function of the parameter and, second, use this decomposition to solve the problem in time that is single exponential to this bound.
For comparability across these three graphs, bin widths were set at 0.33 of the standard deviation for each distribution.
Though both have linear crests, 2D DBs clearly distinguish from transverse on the length versus width graph (Fig. 3b).
Imagine you are adding together a lot of little slices under the graph, and the width of each slice is "almost" zero.
The tree-width of a graph G is the minimum width of all possible tree decompositions of G.
The tree-width of a graph G is the minimum width of all possible tree decompositions of G. Here, we will only consider normalized tree decompositions, which can be easily obtained from standard tree-decompositions [118].
Both effects are slightly nonlinear and a graph of the full width at half maximum of the crystal orientation versus birefringence is nearly linear.
A prominent peak is located at τ=4 in the entropy change graph, representing the characteristic width of the curves present in the image.
The contour graph relating between kerf width with both of wire running speed and dielectric flow rate can be shown in Fig. 9.
Eventually, we show that this class of graphs has clique-width at most 4 and that a clique-width expression can be computed in linear time.
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