Results 11 to 20 of about 324,949 (317)
Using Frames in Steepest Descent-Based Iteration Method for Solving Operator Equations [PDF]
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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Chaotic-based Particle Swarm Optimization with Inertia Weight for Optimization Tasks [PDF]
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
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Notes on Convergence Results for Parabolic Equations with Riemann–Liouville Derivatives
Fractional diffusion equations have applications in various fields and in this paper we consider a fractional diffusion equation with a Riemann–Liouville derivative.
Long Le Dinh, O’regan Donal
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Convergence rate of rational spline histopolation
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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Convergence Rates of Subseries [PDF]
Let $(x_n)$ be a positive real sequence decreasing to $0$ such that the series $\sum_n x_n$ is divergent and $\liminf_{n} x_{n+1}/x_n>1/2$. We show that there exists a constant $θ\in (0,1)$ such that, for each $\ell>0$, there is a subsequence $(x_{n_k})$ for which $\sum_k x_{n_k}=\ell$ and $x_{n_k}=O(θ^k)$.
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Rate of Convergence for Ibragimov-Gadjiev-Durrmeyer Operators
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
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Geometrizing Rates of Convergence, III
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Donoho, David L., Liu, Richard C.
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Adaptive algorithms are used in updating the filter coefficients for active noise cancellation applications in reduction of vehicle cabin noise. The performance of the adaptive algorithms in low-frequency noise cancellation depends on how efficiently it ...
Janak Kapoor +3 more
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Convergence Rates for Projective Splitting [PDF]
This version adds references to the extragradient ...
Patrick R. Johnstone, Jonathan Eckstein
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Convergence Rates for Markov Chains [PDF]
Summary: This is an expository paper that presents various ideas related to nonasymptotic rates of convergence for Markov chains. Such rates are of great importance for stochastic algorithms that are widely used in statistics and in computer science. They also have applications to analysis of card shuffling and other areas.
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