Results 11 to 20 of about 228,877 (212)

Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms

open access: yesProceedings of the AAAI Conference on Artificial Intelligence, 2019
In this paper, we revisit the convergence of the Heavy-ball method, and present improved convergence complexity results in the convex setting. We provide the first non-ergodic O(1/k) rate result of the Heavy-ball algorithm with constant step size for coercive objective functions.
Sun, Tao   +5 more
openaire   +4 more sources

Convergence rates of the Heavy-Ball method under the Łojasiewicz property

open access: yesMathematical Programming, 2022
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Aujol, J-F   +2 more
openaire   +5 more sources

Semi-Local Convergence of a Seventh Order Method with One Parameter for Solving Non-Linear Equations

open access: yesFoundations, 2022
The semi-local convergence is presented for a one parameter seventh order method to obtain solutions of Banach space valued nonlinear models. Existing works utilized hypotheses up to the eighth derivative to prove the local convergence.
Christopher I. Argyros   +4 more
doaj   +1 more source

Extended convergence analysis of Newton-Potra solver for equations

open access: yesJournal of Numerical Analysis and Approximation Theory, 2020
In the paper a local and a semi-local convergence of combined iterative process for solving nonlinear operator equations is investigated. This solver is built based on Newton solver and has R-convergence order 1.839....
Ioannis Argyros   +3 more
doaj   +7 more sources

Semi-Local Convergence of Two Derivative-Free Methods of Order Six for Solving Equations under the Same Conditions

open access: yesFoundations, 2022
We propose the semi-local convergence of two derivative-free, competing methods of order six to address non-linear equations. The sufficient convergence criteria are the same, making a direct comparison between them possible.
Ioannis K. Argyros   +3 more
doaj   +1 more source

Ball Comparison between Two Efficient Weighted-Newton-like Solvers for Equations

open access: yesFoundations, 2022
We compare the convergence balls and the dynamical behaviors of two efficient weighted-Newton-like equation solvers by Sharma and Arora, and Grau-Sánchez et al.
Ioannis K. Argyros   +3 more
doaj   +1 more source

Extended Comparison between Two Derivative-Free Methods of Order Six for Equations under the Same Conditions

open access: yesFractal and Fractional, 2022
Under the same conditions, we propose the extended comparison between two derivative free schemes of order six for addressing equations. The existing convergence technique used the standard Taylor series approach, which requires derivatives up to order ...
Samundra Regmi   +3 more
doaj   +1 more source

Infinite dimensional functional convergences in random balls model [PDF]

open access: yesESAIM: Probability and Statistics, 2015
Summary: We consider a weighted random ball model generated by a Poisson measure. The macroscopic behaviour of the weight amassed on this model by a configuration has recently received attention. In this paper, we complement the previous finite dimensional distribution fluctuation results and propose functional convergences of such functionals on the ...
Breton, Jean-Christophe, Gobard, Renan
openaire   +4 more sources

Variational skinning of an ordered set of discrete 2D balls [PDF]

open access: yes, 2008
This paper considers the problem of computing an interpolating envelope of an ordered set of 2D balls. By construction, the envelope is constrained to be C1 continuous, and for each ball, it touches the ball at a point and is tangent to the ball at ...
Fang, Tong   +5 more
core   +1 more source

On the Semi-Local Convergence of Two Competing Sixth Order Methods for Equations in Banach Space

open access: yesAlgorithms, 2022
A plethora of methods are used for solving equations in the finite-dimensional Euclidean space. Higher-order derivatives, on the other hand, are utilized in the calculation of the local convergence order. However, these derivatives are not on the methods.
Ioannis K. Argyros   +3 more
doaj   +1 more source

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