Value iteration and adaptive optimal output regulation with assured convergence rate
Control Engineering Practice, 2022 Yi Jiang +6 more
semanticscholar +3 more sources
Performance analysis of SMI filter for antenna array receiver in pulse interference environment
Frontiers in Physics, 2023 This paper analyzes the performance of sample matrix inversion (SMI) filter used by antenna array receivers in pulse interference environment. Firstly, from the perspective of comparison, it is proved that the theoretical optimal signal to interference ...
Jie Wang +5 more
doaj +1 more source
Using Frames in Steepest Descent-Based Iteration Method for Solving Operator Equations [PDF]
Sahand Communications in Mathematical Analysis, 2021 In this paper, by using the concept of frames, two iterative methods are constructed to solve the operator equation $ Lu=f $ where $ L:H\rightarrow H $ is a bounded, invertible and self-adjoint linear operator on a separable Hilbert space $ H $.
Hassan Jamali, Mohsen Kolahdouz
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IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate [PDF]
SIAM Journal on Optimization, 2017 The problem of minimizing an objective that can be written as the sum of a set of $n$ smooth and strongly convex functions is considered. The Incremental Quasi-Newton (IQN) method proposed here belongs to the family of stochastic and incremental methods ...
Aryan Mokhtari +2 more
semanticscholar +1 more source
Convergence Performance Improvement of Affine Projection Adaptive Algorithm for Sparse Linear System Modeling with Correlated Input Signals [PDF]
مجله مدل سازی در مهندسی, 2019 One of the most important challenges for the adaptive filtering is the slow convergence rate of adaptive algorithm against highly correlated input signals.
mehdi bekrani
doaj +1 more source
Convergence rate of rational spline histopolation
Mathematical Modelling and Analysis, 2007 The convergence rate of histopolation on arbitrary nonuniform mesh with linear/linear rational splines of class C1 is studied. Established convergence rate depends on Lipschitz smoothness class of the function to histopolate.
Malle Fischer, Peeter Oja
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Geometrizing Rates of Convergence, III
The Annals of Statistics, 1991 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Donoho, David L., Liu, Richard C.
openaire +3 more sources
Rate of Convergence for Ibragimov-Gadjiev-Durrmeyer Operators
Demonstratio Mathematica, 2017 The present paper deals with the rate of convergence of the general class of Durrmeyer operators, which are generalization of Ibragimov-Gadjiev operators. The special cases of the operators include somewell known operators as particular cases viz.
Acar Tuncer
doaj +1 more source
Chaotic-based Particle Swarm Optimization with Inertia Weight for Optimization Tasks [PDF]
Journal of Artificial Intelligence and Data Mining, 2020 Among variety of meta-heuristic population-based search algorithms, particle swarm optimization (PSO) with adaptive inertia weight (AIW) has been considered as a versatile optimization tool, which incorporates the experience of the whole swarm into the ...
N. Mobaraki, R. Boostani, M. Sabeti
doaj +1 more source
Singularity, misspecification and the convergence rate of EM [PDF]
Annals of Statistics, 2018 A line of recent work has analyzed the behavior of the Expectation-Maximization (EM) algorithm in the well-specified setting, in which the population likelihood is locally strongly concave around its maximizing argument.
Raaz Dwivedi +5 more
semanticscholar +1 more source