Sentence examples for uniform convergent from inspiring English sources
Meanwhile, the disturbances are asymptotic convergence, then (y_{k}(t)) uniform convergent to (y_{d}(t)), for (tin[0,1]).
Meanwhile, the disturbances have asymptotic convergence, then (y_{k}(t)) is uniform convergent to (y_{d}(t)), for (tin[0,1]).
Moreover, if the disturbance converges asymptotically to zero, then (y_{k}(t)) is uniform convergent to (y_{d}(t)) for (tin J).
Further, (y_{k}(t)) uniform convergent to (y_{d}(t)) for (tin J) if disturbance is converge asymptotically to zero.
Further, if the disturbance has asymptotic convergence, which means that (d_{xi}rightarrow0), (d_{eta}rightarrow0), and (d_{0}rightarrow0), as (krightarrowinfty), then (y_{k}(t)) uniform convergent to (y_{d}(t)) for (tin J) if the disturbance converges asymptotically to zero.
For the numerical solution of this problem, we proposed a uniform convergent finite difference scheme on the graded Bakhvalov mesh.
For the difference scheme (3.7), (3.8) to be ε-uniform convergent, we will use a mesh that is graded inside the initial layer region.
Using the notion of sequences of means on the Banach space of all bounded real sequences, we prove mean and uniform mean convergence theorems for pointwise convergent sequences of hybrid mappings in Hilbert spaces.
In particular, by assuming the strong regularity on { μ n }, we prove a uniform mean convergence theorem (Theorem 3.5) for pointwise convergent sequences of hybrid mappings in Hilbert spaces.
Transport is assumed to be dictated by a radially convergent or uniform flow field, and is based upon an exact first-passage-time solution of the backward Fokker Planck equation.
If QST is larger than FST, the quantitative genetic differentiation is larger than expected by drift alone, and the difference could be assigned to divergent selection and adaptation to local environments, but, if QST is smaller, convergent spatially uniform selection could have favoured the same genotypes at different sites (Volis et al., 2005).
