Results 11 to 20 of about 324,327 (273)

Variance-Reduced Stochastic Quasi-Newton Methods for Decentralized Learning [PDF]

open access: yesIEEE Transactions on Signal Processing, 2022
In this work, we investigate stochastic quasi-Newton methods for minimizing a finite sum of cost functions over a decentralized network. We first develop a general algorithmic framework, in which each node constructs a local, inexact quasi-Newton ...
Jiaojiao Zhang   +3 more
semanticscholar   +1 more source

Rates of superlinear convergence for classical quasi-Newton methods [PDF]

open access: yesMathematical programming, 2020
We study the local convergence of classical quasi-Newton methods for nonlinear optimization. Although it was well established a long time ago that asymptotically these methods converge superlinearly, the corresponding rates of convergence still remain ...
Anton Rodomanov, Y. Nesterov
semanticscholar   +1 more source

Partial Davidon, Fletcher and Powell (DFP) of quasi newton method for unconstrained optimization

open access: yesTikrit Journal of Pure Science, 2023
The nonlinear Quasi-newton methods is widely used in unconstrained optimization. However, In this paper, we developing new quasi-Newton method for solving unconstrained optimization problems.
Basheer M. Salih   +2 more
doaj   +1 more source

Partial Pearson-two (PP2) of quasi newton method for unconstrained optimization

open access: yesTikrit Journal of Pure Science, 2023
In this paper, we developing new quasi-Newton method for solving unconstrained optimization problems .The nonlinear Quasi-newton methods is widely used in unconstrained optimization[1]. However,.
Basheer M. Salih   +2 more
doaj   +1 more source

Performance investigation of quasi-Newton-based parallel nonlinear FEM for large-deformation elastic-plastic analysis over 100 thousand degrees of freedom

open access: yesMechanical Engineering Journal, 2021
Quasi-Newton-based nonlinear finite element methods were extensively studied in the 1970s and 1980s. However, they have almost disappeared due to their poorer convergence performance than the Newton-Raphson method.
Yasunori YUSA   +2 more
doaj   +1 more source

A Combined Conjugate Gradient Quasi-Newton Method with Modification BFGS Formula

open access: yesInternational Journal of Analysis and Applications, 2023
The conjugate gradient and Quasi-Newton methods have advantages and drawbacks, as although quasi-Newton algorithm has more rapid convergence than conjugate gradient, they require more storage compared to conjugate gradient algorithms.
Mardeen Sh. Taher, Salah G. Shareef
doaj   +1 more source

Correlation and realization of quasi-Newton methods of absolute optimization [PDF]

open access: yesКомпьютерные исследования и моделирование, 2016
Newton and quasi-Newton methods of absolute optimization based on Cholesky factorization with adaptive step and finite difference approximation of the first and the second derivatives.
Anastasiya Borisovna Sviridenko   +1 more
doaj   +1 more source

Quasi-Newton Methods for Partitioned Simulation of Fluid–Structure Interaction Reviewed in the Generalized Broyden Framework

open access: yesArchives of Computational Methods in Engineering, 2023
Fluid–structure interaction simulations can be performed in a partitioned way, by coupling a flow solver with a structural solver. However, Gauss–Seidel iterations between these solvers without additional stabilization efforts will converge slowly or not
N. Delaissé   +3 more
semanticscholar   +1 more source

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