Results 41 to 50 of about 244,174 (205)
Strong Convergence in a Product Space [PDF]
The purpose of this note is to present a certain necessary and sufficient condition for strong convergence in Lp over a product space. This result is formulated as Theorem 1 below. Theorem 1 includes as a special case a well-known compactness condition of M. Riesz, which we state in slightly different form as Theorem 2.
openaire +1 more source
Pricing exotic options using strong convergence properties? [PDF]
In finance, the strong convergence properties of discretisations of stochastic differential equations (SDEs) are very important for the hedging and valuation of exotic options.
Giles, M. B., Schmitz Abe, Klaus
core +1 more source
On the convergence of iterative voting: how restrictive should restricted dynamics be? [PDF]
We study convergence properties of iterative voting procedures. Such procedures are defined by a voting rule and a (restricted) iterative process, where at each step one agent can modify his vote towards a better outcome for himself.
Polukarov, Maria +6 more
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Strong convergence of approximation fixed points for nonexpansive nonself-mapping
Let C be a closed convex subset of a uniformly smooth Banach space E, and T:C→E a nonexpansive nonself-mapping satisfying the weakly inwardness condition such that F(T)≠∅, and f:C→C a fixed contractive mapping.
Rudong Chen, Zhichuan Zhu
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This paper develops the balanced Euler–Maruyama integrator for stochastic Volterra integral equations. First, an upper bound for the designed integrator is rigorously established in the mean square sense.
Hassan Ranjbar, Afshin Babaei
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Strong Convergence of Generalized Projection Algorithms for Nonlinear Operators
We establish strong convergence theorems for finding a common element of the zero point set of a maximal monotone operator and the fixed point set of two relatively nonexpansive mappings in a Banach space by using a new hybrid method.
Chakkrid Klin-eam +2 more
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Strong Whitney and strong uniform convergences on a bornology
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tarun Kumar Chauhan, Varun Jindal
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A rate of convergence in clustering analysis [PDF]
We present a result about stochastic boundedness of stable empirical processes on Vapnik-Cervonenkis classes of functions and we apply it to obtain a rate of convergence for the approximation between the sample and the populational variation in the k ...
Romo, Juan
core
Strong convergence of estimators as ε n -minimisers of optimisation problemsof optimisation problems [PDF]
Strong convergence, M-estimators, epi-convergence, stochastic optimisation,
Silvia Vogel +3 more
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Strong Convergence of an Implicit Algorithm in CAT(0) Spaces
We establish strong convergence of an implicit algorithm to a common fixed point of a finite family of generalized asymptotically quasi-nonexpansive maps in CAT spaces. Our work improves and extends several recent results from the current literature.
Domlo AbdulAziz +2 more
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