Sentence examples for methods for strict from inspiring English sources

Therefore, it is important to develop a theory of iterative methods for strict pseudo-contractions.

Therefore it is interesting to develop the iteration methods for strict pseudocontractive mappings.

The study on iterative methods for strict pseudocontractive mappings was initiated by Browder and Petryshyn [1] in 1967, but the iterative methods for strict pseudocontractive mappings are far less developed than those for nonexpansive mappings.

Although nonexpansive mappings are 0-strict pseudocontractions, iterative methods for -strict pseudocontractions are far less developed than those for nonexpansive mappings.

Very recently, Hu [15] obtained strong convergence theorems on a mixed iteration scheme by the viscosity approximation methods for -strict pseudo-contractions in -uniformly convex Banach spaces with uniformly Gâteaux differentiable norm.

The overall agreement between the two methods, separately as for strict and permissive interpretation, was calculated as well as sensitivity and specificity.

Very recently, Duan and Zhao [10] considered new hybrid methods for equilibrium problems and strict pseudocontractions.

Furthermore, this study included a representative sample of the general population, using rigorously standardized methods for data collection and strict quality control.

32 Nevertheless, the results of our study derive from strict methods for testing gustatory capabilities, and a broad array of tests to measure nutritional, health, and cognitive status that have been standardized for older people.

Although we attempted to reduce the occurrence of false positives by using strict methods for base calling, it is difficult to estimate how many noncoding sequences showing PS are actually true or false positives because selection at synonymous sites, a higher mutation rate or a relaxation of selective constrains may also contribute to the signal detected by the ML test.

In particular, [3] proved the superlinear and quadratic convergence properties of affine-scaling interior-point Newton methods for bound optimization problems without strict complementarity assumption.