Sentence examples for forward map from inspiring English sources

Based on the approximation results in [49], the infinite-dimensional parametric, deterministic forward map and operator admit N-term RB and EIM approximations which converge at rates which depend only on the sparsity of the parametric forward map.

But, an accurate forward map would require a very large size of training data as well as network architecture.

The proposed inverse-forward adaptive scheme effectively approximates the forward map around the joint angle vector provided by a hint generator.

In the next section, we present a new chaotic map that overcomes these drawbacks by maintaining a region that is seldom visited without damaging the chaotic properties of the original forward map.

(S_{r}), after which the dynamics of the slow flow governs the drift towards T. It defines two maps x_{T} = varepsilon F(x_{S},sqrt{varepsilon },A),qquad x_{T} = varepsilon B(x_{S},sqrt {varepsilon },A), (26) where the forward map F and the backward map B are known to be smooth in terms of ((x_{S},sqrt{varepsilon },A)); see [19].

In the toy-model example of Figure 9 the forward map is given by, representing the arm's endpoint.

Compare forward mapping and reverse mapping for image processing.

Backward mapping is used for generation of lookup tables, while forward mapping is presented as an alternative and more efficient mapping model for specific cases.

We generalize the analysis of sparsity of parametric forward solution maps in [20] and of Bayesian inversion in [48,49] to the fully discrete setting, including Petrov Galerkin high-fidelity ("HiFi") discretization of the forward maps.

Although both ROV forward mapping and SfM photogrammetry techniques can provide very high resolutions, they remain limited in the spatial extent they can cover.

The techniques developed for MBES forward mapping of walls using ROVs have been described in detail in Huvenne et al.7 (JC036 Dive 123) and Huvenne et al.29 (CE14011 Dive 11).