Results 261 to 270 of about 1,963,727 (308)

Multidimensional Strongly Deferred Invariant Convergence

Numerical Functional Analysis and Optimization, 2021
The primary purpose of this article is to introduce double deferred invariant statistical convergence and double strongly invariant convergence for double sequences.
R. Savaş
semanticscholar   +4 more sources

Affine invariant convergence results for Newton's method

BIT, 1982
We present a unified derivation of affine invariant convergence results for Newton's method. Initially we derive affine invariant forms of the perturbation lemma and a mean value theorem. With their aid we obtain an optimal radius of convergence for Newton's method, from which further radius of convergence estimates follow. From the Newton-Kantorovitch
T. Ypma
semanticscholar   +5 more sources

Strongly Deferred Invariant Convergence and Deferred Invariant Statistical Convergence

Journal of Computer Science & Computational Mathematics, 2020
In this paper, we introduce the concepts of deferred invariant convergence, strongly deferred invariant convergence and deferred invariant statistical convergence and investigate the relation between these concepts.
F. Nuray
openaire   +2 more sources

Weak convergence and invariant measure of a full discretization for parabolic SPDEs with non-globally Lipschitz coefficients

Stochastic Processes and Their Applications, 2021
We propose a full discretization to approximate the invariant measure numerically for parabolic stochastic partial differential equations (SPDEs) with non-globally Lipschitz coefficients.
J. Cui, Jialin Hong, Liying Sun
semanticscholar   +3 more sources

Wijsman Lacunary $${\mathbf{\mathcal{I}}}$$-Invariant Convergence of Sequences of Sets

Proceedings of the National Academy of Sciences India Section A - Physical Sciences, 2020
E. Dündar, N. P. Akin, Uǧur Ulusu
semanticscholar   +3 more sources

Invariant convergent and invariant ideal convergent sequence in intuitionistic fuzzy normed space

Journal of Intelligent & Fuzzy Systems, 2022
 The main purpose of this paper is to introduce invariant convergence in intuitionistic fuzzy normed space. Following which we present some characteristics of this notion with respect to intuitionistic fuzzy norm. We also define strongly invariant convergence, ideal invariant convergence and invariant ideal convergence in intuitionistic fuzzy normed ...
Khan, Vakeel A.   +3 more
openaire   +1 more source

Invariant Extended Kalman Filtering for Underwater Navigation

IEEE Robotics and Automation Letters, 2021
Recent advances in the utilization of Lie Groups for robotic localization have led to dramatic increases in the accuracy of estimation and uncertainty characterization.
Easton R. Potokar   +2 more
semanticscholar   +1 more source

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