Sentence examples for error is positive from inspiring English sources

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We have first assumed that at least one measurement error is positive and then have concluded that the target node position can be found at least inside one ball derived from the measurements.

Based on previous discussions, when a distance estimate error is positive, the ball defined for that measurement definitely contains the target node position.

If the measurement error is positive, the ball with the radius d i ̂ and center a i definitely contains the target node position.

In this section, we derive a simple upper bound, expressed in a closed form expression, which is valid if at least one distance estimate error is positive.

Firstly, if at least one distance estimate error is positive, we derive a simple, but potentially loose upper bound, which is always valid.

If the distance errors are positive with a nonzero probability and we get enough estimates for a link, then with high probability at least one distance error is positive.

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Similar(49)

The Lyapunov exponent of the rms wavefront error was positive for each subject, with an average value of 0.44 ± 0.15 µm/s.

The intersection is nonempty and does not contain the target node position, (b) all measurement errors are positive and the intersection definitely contains the target node position, (c) all measurements have negative errors and the intersection is nonempty and does not contain the target node position, and (d) all measurement errors are negative and the intersection is empty.

To summarize for LOS conditions, we see that NLS outperforms other methods except for very small position error when measurement errors are positive.

We leave the solution to this problem as an open problem and instead use the method of OA described in this section to solve the problem, e.g., for the case when the measurement errors are positive, we can upper bound the position error with R ^ i [found from (20)].

In the previous study in [9], it has also been argued that the maximum position error (when distance estimation errors are positive) is difficult to compute because the problem is formulated as a nonconvex problem; however, by means of a relaxation technique, an upper bound on the position error can be obtained efficiently [9].

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