Sentence examples for convergent problem from inspiring English sources

It is pointed out that non-uniform sections may not be handled by power series due to the convergent problem.

It is no doubt that researching the convergent problems of iterative methods with perturbation members is a significant job.

We examine properties of this matrix and show that the proposed method is unconditionally stable for unsteady problems and convergent for steady problems with a convergent rate independent of discretization parameters.

In 2013, Chuang [5] gave the following two convergent theorems for problem (SFVIP).

They established sufficient conditions under which for every real constant, there exists a solution to the studied problem convergent to this constant.

Grippo and Lucidi [8] proposed new line search conditions, which can ensure that the PRP method is globally convergent for nonconvex problems.

In connection with I-quasi-Cauchy sequences and I-convergent sequences, the problem arises to investigate the following types of 'continuity' of functions on R: (δi): ( x n ) ∈ Δ I ⇒ ( f ( x n ) ) ∈ Δ I, ( δ i c ): ( x n ) ∈ Δ I ⇒ ( f ( x n ) ) ∈ c, (c): ( x n ) ∈ c ⇒ ( f ( x n ) ) ∈ c, ( c δ i ): ( x n ) ∈ c ⇒ ( f ( x n ) ) ∈ Δ I, (i): ( x n ) ∈ I ( R ) ⇒ ( f ( x n ) ) ∈ I ( R ).

We favored the use of amino acid rather than nucleotide sequences in our phylogenomic study because, in analyses of ancient divergences, amino acid data sets are less prone than nucleotide data sets to saturation problems, convergent compositional biases and convergent codon-usage biases [ 49- 51].

Amino acid sequences rather than nucleotide sequences were chosen for our phylogenomic analyses because, in analyses of ancient divergences, amino acid data sets are less prone than nucleotide data sets to saturation problems, convergent compositional biases and convergent codon-usage biases [ 30– 30].

We have been unable to study convergent validity in cognitive problems, financial problems, family-related distress and benefits of cancer due to the lack of adequate dimensions or scales in our study.

We establish a strongly convergent theorem for these problems and apply our result on the lasso problem to the image deblurring problem.