Results 231 to 240 of about 236,167 (259)
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On the local convergence of secant-type methods

International Journal of Computer Mathematics, 2004
In this article, we carry out a local convergence study for Secant-type methods. Our goal is to enlarge the radius of convergence, without increasing the necessary hypothesis. Finally, some numerical tests and comparisons with early results are analyzed.
Sergio Amat   +2 more
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Convergence of Distributed Localization With Alternating Normals

IEEE Transactions on Robotics, 2016
This paper presents the alternating-normal iterative method, a novel algorithm that uses angle-of-arrival (or bearing) measurements for relative positioning of networked collaborating robots moving in three dimensions. The method is decentralized, with robots exploiting communication to iteratively refine measurements and enforce geometric consistency.
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Local and Global Convergence

2010
Proving convergence of the various optimization algorithms is a delicate exercise. In general, it is helpful to consider local and global convergence patterns separately. The local convergence rate of an algorithm provides a useful benchmark for comparing it to other algorithms. On this basis, Newton’s method wins hands down. However, the tradeoffs are
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On the global stabilization of locally convergent algorithms

Automatica, 1976
There are a number of algorithms in the literature which both theoretically and empirically are known to be only locally convergent. These include such well known algorithms as secant, Newton, quasi-Newton and primal-dual algorithms. Locally, these algorithms tend to be highly efficient.
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Convergence of Local Minimizers

2013
The fundamental theorem of Γ-convergence can be generalized when we have strict local minimizers of the Γ-limit, in which case we are often able to deduce the existence and convergence of local minimizers of the converging sequence. This version of the fundamental theorem of Γ-convergence can be coupled with scaling arguments, which may give existence ...
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On Convergence of Projections in Locally Convex Spaces

Canadian Mathematical Bulletin, 1966
This note is concerned with the extension to locally convex spaces of a theorem of J. Y. Barry [ 1 ]. The basic assumptions are as follows. E is a separated locally convex topological vector space, henceforth assumed to be barreled. E' is its strong dual. For any subset A of E, we denote by w(A) the closure of A in the σ-(E, E')-topology. See [ 2 ] for
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Local spectral properties and $$\nu $$-convergence

Rendiconti del Circolo Matematico di Palermo Series 2
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Soufiane Hadji, Hassane Zguitti
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Convergence in Local Press

2022
Improvements in information and communication technologies have evolved the way of traditional broadcasting. This evolvement is currently being experienced in press, eliminating the specific and clear lines of every kind of medium. Changing news production/distribution process as well as readers' consumption tendencies have brought up some kind of
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Stereoscopic Localization with the Eyes Asymmetrically Converged

American journal of optometry and physiological optic, 1977
ABSTRACT When the eyes fixate a point in the median plane of the head, the physical surface to which the stereoscopic disparities of “nearer” and “farther” points are referred is the so‐called frontal plane horopter. When, however, a point is fixated with the eyes in asymmetrical convergence, the horopter is now rotated with respect ...
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Local convergence of the method of multipliers

Mathematische Operationsforschung und Statistik. Series Optimization, 1980
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