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Once they started playing, though, there was a sharp convergence from what separates them physically with both players hitting some fierce blows off the ground.
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In all graphs, we observe that either classical operator has sharp convergence or both operators behave alike after a large number of iterations.
Sharp convergence rates for fixed design regression estimators for negatively associated random variables are established.
For a family of second-order parabolic systems with bounded measurable, rapidly oscillating and time-dependent periodic coefficients, we investigate the sharp convergence rates of weak solutions in L2.
Our results include a sharper theoretical convergence result for p-Laplacian systems compared to what may be found in existing works.
We prove that our estimation attains a sharp rate of convergence and show the optimality.
This degree of sparsity, however, comes at the cost of both network fragility and speed, as Fig. 3 indicates a sharp decline in convergence speed as connectivity falls below 3 connections per node.
Given η and α, we derive a sharp bound of the convergence factor of the parareal iterations.
Under an explicit nondegeneracy condition, we improve this information providing a sharp control of the rate of convergence of the eigenvalues and eigenfunctions in the perturbed domain to the relative eigenvalue and eigenfunction in the limit domain.
We establish a sharp relation between the rate of convergence of the eigenvalues as the singular pole is approaching a boundary point and the number of nodal lines of the eigenfunction of the limiting problem, i.e. of the Dirichlet-Laplacian, ending at that point.
In this note, using only elementary techniques, we demonstrate that the sequence is strictly increasing and that (1.1a) holds; in addition, we establish a sharp estimate of the rate of convergence.
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