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��- convergence on time scale

2011
In the present paper we will give some new notions, such as -convergence and -Cauchy, by using the -density and investigate their relations. It is important to say that, the results presented in this work generalize some of the results mentioned in the theory of statistical convergence.
Seyyidoglu, M. Seyyit   +1 more
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Convergence of Averaged Occupation Times

Canadian Mathematical Bulletin, 1975
Let X = {Xt, t ≥ 0} be a stationary Markov process with values in a measurable space (S, ℬ), transition function p, and initial distribution concentrated at a point x ∊ S. The occupation times of a set A ∊ ℬ are defined for t ≥ 0 bywhere 1A is the indicator function of A.
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Convergence of Time and Space

2013
This chapter considers the historical lineage and conceptual origins of visual music, addressing the turn to abstraction and absolute film in visual arts, particularly in the first half of the twentieth century, and the turn to mimesis and spatialization in music, particularly through the acousmatic tradition after World War II.
Bret Battey, Rajmil Fischman
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Finite-Time Convergence Adaptive Neural Network Control for Nonlinear Servo Systems

IEEE Transactions on Cybernetics, 2020
Although adaptive control design with function approximators, for example, neural networks (NNs) and fuzzy logic systems, has been studied for various nonlinear systems, the classical adaptive laws derived based on the gradient descent algorithm with ${\
J. Na   +4 more
semanticscholar   +1 more source

Convergence acceleration for simulated time‐reversal

COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, 2009
Summary: Purpose - The purpose of this paper is to report on the use of conjugate-gradients (CG) as a means to accelerate the convergence of the iterative time-reversal algorithm used for optimisation of electromagnetic devices. Design/methodology/approach - The numerical time-domain transmission line modelling method is used for time-reversal ...
Scott, I., Vukovic, A., Sewell, P.
openaire   +2 more sources

On the convergence time of the drift-plus-penalty algorithm for strongly convex programs

IEEE Conference on Decision and Control, 2015
This paper studies the convergence time of the drift-plus-penalty algorithm for strongly convex programs. The drift-plus-penalty algorithm was originally developed to solve more general stochastic optimization and is closely related to the dual ...
Hao Yu, M. Neely
semanticscholar   +1 more source

Precision of Neural Timing: Effects of Convergence and Time-Windowing

Journal of Computational Neuroscience, 2002
We study the improvement in timing accuracy in a neural system having n identical input neurons projecting to one target neuron. The n input neurons receive the same stimulus but fire at stochastic times selected from one of four specified probability densities, f, each with standard deviation 1.0 msec.
Michael C, Reed   +2 more
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Convergence time [fixed-mobile telephony convergence]

Communications Engineer, 2004
Fixed-mobile convergence, that is, using a mobile terminal for both fixed and mobile calls, seems an easy enough concept, but bringing it to reality is proving no easy task. The handset would act as normal when on the move, using cellular radio frequencies and protocols to communicate with the mobile networks' base stations. Indoors, the device becomes
openaire   +1 more source

On the convergence of the time-domain bremmer series

Wave Motion, 1983
Abstract The frequency-dependent Bremmer series for wave propagation in a plane stratified medium has been well studied. It is known that the series converges if the variations in the medium are not too large. Less well-known is the fact that the series is more likely to converge in a medium with large variations if the frequency of the incident wave
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Convergence time in Hopfield network

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium, 2000
Convergence time in Hopfield attractor neural network with parallel dynamics is investigated by computer simulation of networks of extremely large size (up to the number of neurons N=10/sup 5/). A special algorithm is used to avoid storage in the computer memory of both connection matrix and the set of stored prototypes. Thus, the size of the simulated
A.A. Frolov, D. Husek
openaire   +1 more source

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