Sentence examples for variation constraint from inspiring English sources

In the model, a multidimensional nonlocal total variation constraint is applied to preserve edge sharpness.

It improves an existing algorithm called DDVCA (Delay and Delay Variation Constraint Algorithm) [P.-R. Sheu, S.-T.

where (left | f-g right |^{2}_{2}) represents the data-fidelity term, ∥∇f∥1 the total variation constraint term on the smoothness of the resulting image, and λ represents the regularization parameter.

The intrinsic strength (individuality) of biometric characteristics should not be reduced applying transforms (constraint on FAR) while on the other hand transforms should be tolerant to intra-class variation (constraint on FRR) [12].

In wireline network, such a problem is defined as DVBMT (Delay- and delay Variation-Bounded Multicast Tree) problem [N.R. George, B. Ilia, Multicast routing with end-to-end delay and delay variation constraints, IEEE Journal on Selected Areas in Communications 15 (3) (1997) 346 356] and proved to be NP-complete.

A simulation is considered convergent if it respects the Lagrangian variable variation constraints (Eq. (29)) and the required data rate per user constraint as R k =R t ±0.1 R t ∀k.

For demand with high variation, capacity constraint may lead to significant changes in ordering patterns.

We used branchXsites models implemented in codeml [24], [25], [26] to test the a priori hypothesis that the pattern of variation in constraint among sites was different on the branch leading to C. nitida (specified as the foreground branch) than the pattern of among-site variation across the rest of the tree (background branches).

Likewise, the variation in constraint among these compartment raises interesting questions: it is unclear why enzymes from the Golgi apparatus and nucleus should be more highly conserved than those from the central group of compartments.

The chapter also discusses image restoration problems in which Besov- or bounded variation (BV) constraints are involved.

We minimize a convex quadratic function with total variation (TV) constraints for data cube estimation from the 2D snapshot.