Sentence examples for relevant approximation from inspiring English sources

Remark It has been observed that an L 2 norm of the difference between the exact solution and the relevant approximation is generally negligible.

Remark It has been observed that L 2 norm of the difference between the exact solution and the relevant approximation is generally negligible.

The course is taught at the department of Mechanical and Aerospace Engineering at the University of California, San Diego and analyzes the problems of estimation on closed-loop data and control relevant approximation of systems.

Experimentally, and from the observation of Figures 1 and 3, the latter choice seems a relevant approximation of the data model from Example 1 in Section 2. The parameter λ should make a compromise between a good fit to the data (λ large) and robustness of the method (λ small).

Specifically, at a relevant approximation we can describe this particular system as monitoring the magnitude of its past fluctuations with a characteristic scale of a month, from which it computes the level of impact resulting in an excess of volatility.

It therefore provided a parsimonious and biologically relevant approximation of switching.

Based on measurements and relevant approximations, no incremental or decremental patterns for D were detected along the wall height.

Contrary to the second order techniques used before, a perturbation parameter ε is also included in the relevant approximations, so that the overall solution convergence can be sped up by some modification of its value.

Dependences and feedbacks of this problem do not allow to use alternative approaches; for example, the use of time series that leads the relevant approximations when unexpected "breaking" phenomena occur (e.g. a particular and unexpected event in the global economy).

By applying some relevant model approximations, the computational overhead of the proposed algorithms compared to the normalized least mean squares (NLMS) algorithm can be reduced to 25% of the NLMS complexity.

This approach is particularly relevant for the approximation of strongly non linear quantities of interest from very little information.