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   Articles with "iteration" as a keyword



On control intervals of chaos with Fréchet derivative of certain iterations as discrete dynamical system in Banach spaces

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recommendations! Published in 2024 at "Mathematical Methods in the Applied Sciences"

DOI: 10.1002/mma.10015

Abstract: Dynamical systems are one of the interesting concepts where iteration algorithms and chaos can be considered together. In iteration algorithms, one of the basic concepts of fixed point theory, it is well known that the… read more here.

Keywords: control; dynamical system; iteration; control intervals ... See more keywords

Robust finite‐iteration tracking of discrete‐time systems in repetitive process setting via ILC scheme

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recommendations! Published in 2021 at "International Journal of Robust and Nonlinear Control"

DOI: 10.1002/rnc.5782

Abstract: In this work, based on the robust iterative learning control (ILC) scheme, the finite‐iteration tracking control is investigated for discrete‐time linear systems in repetitive process setting with external disturbances. First, the concept of finite‐iteration tracking… read more here.

Keywords: ilc scheme; finite iteration; iteration; iteration tracking ... See more keywords

Modified Newton-Type Iteration Methods for Generalized Absolute Value Equations

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recommendations! Published in 2019 at "Journal of Optimization Theory and Applications"

DOI: 10.1007/s10957-018-1439-6

Abstract: In this paper, by separating the differential and the non-differential parts of the generalized absolute value equations, a class of modified Newton-type iteration methods are proposed. The modified Newton-type iteration method involves the well-known Picard… read more here.

Keywords: iteration; type iteration; iteration methods; newton type ... See more keywords
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An Inertial Parallel and Asynchronous Forward–Backward Iteration for Distributed Convex Optimization

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recommendations! Published in 2019 at "Journal of Optimization Theory and Applications"

DOI: 10.1007/s10957-019-01542-7

Abstract: AbstractTwo characteristics that make convex decomposition algorithms attractive are simplicity of operations and generation of parallelizable structures. In principle, these schemes require that all coordinates update at the same time, i.e., they are synchronous by… read more here.

Keywords: iteration; convex optimization; asynchronous forward; optimization ... See more keywords

Contractive Difference-of-Convex Algorithms

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recommendations! Published in 2025 at "Journal of Optimization Theory and Applications"

DOI: 10.1007/s10957-025-02689-2

Abstract: The difference-of-convex algorithm (DCA) and its variants are the most popular methods to solve the difference-of-convex optimization problem. Each iteration of them is reduced to a convex optimization problem, which generally needs to be solved… read more here.

Keywords: convex algorithms; iteration; difference; difference convex ... See more keywords

Multi-step inertial Krasnosel’skiǐ–Mann iteration with new inertial parameters arrays

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recommendations! Published in 2021 at "Journal of Fixed Point Theory and Applications"

DOI: 10.1007/s11784-021-00879-9

Abstract: Recently, the authors (Dong et al. in J Global Optim 73(4):801–824, 2019) introduced the multi-step inertial Krasnosel’skiǐ–Mann iteration, where the inertial parameters involve the iterative sequence. Therefore, one has to compute the inertial parameters per… read more here.

Keywords: mann iteration; inertial parameters; ski mann; krasnosel ski ... See more keywords

Adaptive ILC of Tracking Nonrepetitive Trajectory for Two-dimensional Nonlinear Discrete Time-varying Fornasini-Marchesini Systems with Iteration-varying Boundary States

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recommendations! Published in 2020 at "International Journal of Control, Automation and Systems"

DOI: 10.1007/s12555-020-0074-9

Abstract: Most of adaptive iterative learning control (AILC) algorithms focus on one-dimensional (1-D) systems, rather than two-dimensional (2-D) systems. This brief is first concerned with AILC for 2-D nonlinear discrete time-varying Fornasini-Marchesini system (NDTVFMS) with nonrepetitive… read more here.

Keywords: discrete time; nonlinear discrete; varying fornasini; time varying ... See more keywords

A relaxed two-step splitting iteration method for computing PageRank

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recommendations! Published in 2018 at "Computational and Applied Mathematics"

DOI: 10.1007/s40314-016-0338-4

Abstract: In this paper, we extend the two-step matrix splitting iteration approach by introducing a new relaxation parameter. The main idea is based on the inner–outer iteration for solving the PageRank problems proposed by Gleich et… read more here.

Keywords: iteration; splitting iteration; method; two step ... See more keywords

An ellipsoidal Newton’s iteration method of nonlinear structural systems with uncertain-but-bounded parameters

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recommendations! Published in 2021 at "Computer Methods in Applied Mechanics and Engineering"

DOI: 10.1016/j.cma.2020.113501

Abstract: Abstract This paper presents an ellipsoidal Newton’s iteration method for predicting the response of nonlinear structural systems with uncertain-but-bounded parameters. In the study, the uncertainty in parameters is expressed in terms of an ellipsoid set… read more here.

Keywords: newton iteration; iteration; iteration method; method ... See more keywords

Source apportionment for fine particulate matter in a Chinese city using an improved gas-constrained method and comparison with multiple receptor models.

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recommendations! Published in 2018 at "Environmental pollution"

DOI: 10.1016/j.envpol.2017.10.007

Abstract: PM2.5 is one of the most studied atmospheric pollutants due to its adverse impacts on human health and welfare and the environment. An improved model (the chemical mass balance gas constraint-Iteration: CMBGC-Iteration) is proposed and… read more here.

Keywords: iteration; receptor models; source; source apportionment ... See more keywords

Efficient Iterative Solvers in the Least Squares Method

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recommendations! Published in 2020 at "IFAC-PapersOnLine"

DOI: 10.1016/j.ifacol.2020.12.847

Abstract: Fast convergent, accurate, computationally efficient, parallelizable, and robust matrix inversion and parameter estimation algorithms are required in many time-critical and accuracy-critical applications such as system identification, signal and image processing, network and big data analysis,… read more here.

Keywords: computationally efficient; iterative solvers; newton schulz; efficient iterative ... See more keywords