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A technique is described which defines an upper bound for the effect of the truncation error on finite difference solutions to elliptic boundary value problems.
Basically, the path lifetime defines an upper bound for the path duration; whenever it expires, the path is reset and a new path discover procedure is initiated.
Hence, the maximum distance to every ball defines an upper bound to the position error, namely e ≤ v max ( x ̂, ℬ ′ ) ≤ max y ∈ ℬ i ′ ∥ x ̂ − y ∥ 2 = ∥ x ̂ − a i ∥ 2 + d ~ i, i = 1, …, N. (22).
This condition defines an upper bound for the mutation rate, given by Simulations are started with a population devoid of genetic variation.
The leap condition defines an upper bound for the size of each timestep τ: it must be so small that the propensities do not change significantly for its duration, i.e. the change in state from time t to t + τ is very small [ 10].
Hence, the maximum length of the intersection defines an upper bound on the absolute value of position error for the POCS estimator.
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Second, as a result of the search tree topology, for each node C we can define an upper bound and lower bound.
We define an upper bound U τ for the per-source average delay, τ u E ≤ U τ. (47).
Therefore, we define an upper bound (k_{text {max}} in mathbb {N}) of total test cases that we keep for quality evaluation of new test cases.
To counter this growth, we defined an upper bound (k_{text {max}} in mathbb {N}) for |X all| in the test case update step above.
In MDC-SR, they define an upper bound threshold for the number of buffered bundles such that if a node holds more buffered message count than an upper bound, the drop procedure will not be called.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com