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Particle injection in three-dimensional relativistic magnetic reconnection. [PDF]
French O, Werner GR, Uzdensky DA.
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Mesh variational r-adaptivity for sharp modeling of brittle fracture
Dony G, Moës N, Remacle J.
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Multidimensional Strongly Deferred Invariant Convergence
Numerical Functional Analysis and Optimization, 2021The primary purpose of this article is to introduce double deferred invariant statistical convergence and double strongly invariant convergence for double sequences.
R. Savaş
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Affine invariant convergence results for Newton's method
BIT, 1982We 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
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Strongly Deferred Invariant Convergence and Deferred Invariant Statistical Convergence
Journal of Computer Science & Computational Mathematics, 2020In 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
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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
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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
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Wijsman Lacunary $${\mathbf{\mathcal{I}}}$$-Invariant Convergence of Sequences of Sets
Proceedings of the National Academy of Sciences India Section A - Physical Sciences, 2020E. Dündar, N. P. Akin, Uǧur Ulusu
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Invariant convergent and invariant ideal convergent sequence in intuitionistic fuzzy normed space
Journal of Intelligent & Fuzzy Systems, 2022The 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
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Affine Invariant Convergence Theorems for Newton’s Method and Extensions to Related Methods
SIAM Journal on Numerical Analysis, 1979P. Deuflhard, G. Heindl
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Invariant Extended Kalman Filtering for Underwater Navigation
IEEE Robotics and Automation Letters, 2021Recent 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
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