Results 11 to 20 of about 1,380,157 (288)
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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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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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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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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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 rates of Gaussian ODE filters [PDF]
AbstractA recently introduced class of probabilistic (uncertainty-aware) solvers for ordinary differential equations (ODEs) applies Gaussian (Kalman) filtering to initial value problems. These methods model the true solutionxand its firstqderivativesa priorias a Gauss–Markov process$${\varvec{X}}$$X, which is then iteratively conditioned on information
Hans Kersting +2 more
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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 ...
Johnstone, Patrick R. +1 more
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Convergence Rate Analysis [PDF]
After showing the convergence of the two numerical methods for Frobenius-Perron operators in the previous chapter, we further investigate the convergence rate problem for them. Keller’s stochastic stability result for a class of Markov operators will be studied first, which leads to his first proof of the L1-norm convergence rate O(ln n/n) for Ulam’s ...
Jiu Ding, Aihui Zhou
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