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In this paper we characterize quasi-contraction, stable and convergent weighted conditional type (WCT) operators on $L^p(\mu)$. Indeed we provide equivalent conditions for quasi-contraction WCT operators. Also, we prove that convergence,…

泛函分析 · 数学 2024-06-13 Y. Estaremi , Z. Huang

The paper introduces the first formulation of convex Q-learning for Markov decision processes with function approximation. The algorithms and theory rest on a relaxation of a dual of Manne's celebrated linear programming characterization of…

最优化与控制 · 数学 2023-09-12 Fan Lu , Sean Meyn

In the present article we define the Phillips type modification of the generalized Sz\'asz-Mirakjan operators. Moments, recurrence formulas, and other identities are established for these operators. Approximation properties are also…

经典分析与常微分方程 · 数学 2017-09-05 Vijay Gupta , G. C. Greubel

In this paper, we establish quantitative estimates for nonlinear sampling Kantorovich operators in terms of the modulus of continuity in the setting of Orlicz spaces. This general frame allows us to directly deduce some quantitative…

泛函分析 · 数学 2021-02-18 Nursel Cetin , Danilo Costarelli , Gianluca Vinti

We provide the most general forms of covariant and normalized time operators and their probability densities, with applications to quantum clocks, the time of arrival, and Lyapunov quantum operators. Examples are discussed of the profusion…

量子物理 · 物理学 2015-05-19 G. C. Hegerfeldt , J. G. Muga , J. Muñoz

This paper surveys recent developments at the intersection of operator learning, statistical learning theory, and approximation theory. First, it reviews error bounds for empirical risk minimization with a focus on holomorphic operators and…

数值分析 · 数学 2026-03-03 Simone Brugiapaglia , Nicola Rares Franco , Nicholas H. Nelsen

A new Goodman-Sharma modification of the Baskakov operator is presented for approximation of bounded and continuous on $[0,\,\infty)$ functions. In our study on the approximation error of the proposed operator we prove direct and strong…

经典分析与常微分方程 · 数学 2024-12-09 Ivan Gadjev , Parvan Parvanov , Rumen Uluchev

Existing studies indicate that momentum ideas in conventional optimization can be used to improve the performance of Q-learning algorithms. However, the finite-sample analysis for momentum-based Q-learning algorithms is only available for…

机器学习 · 计算机科学 2020-07-31 Bowen Weng , Huaqing Xiong , Lin Zhao , Yingbin Liang , Wei Zhang

In this work, we present an abstract theory for the approximation of operator-valued Riccati equations posed on Hilbert spaces. It is demonstrated here that the error of the approximate solution to the operator-valued Riccati equation is…

数值分析 · 数学 2024-10-01 James Cheung

A new Goodman-Sharma type modification of the Meyer-K\"{o}nig and Zeller operator for approximation of bounded continuous functions on [0,1) is presented. We estimate the approximation error of the proposed operator and prove direct and…

经典分析与常微分方程 · 数学 2025-06-18 Ivan Gadjev , Parvan Parvanov , Rumen Uluchev

Approximation properties of quasi-projection operators $Q_j(f,\varphi, \widetilde{\varphi})$ are studied. Such an operator is associated with a function $\varphi$ satisfying the Strang-Fix conditions and a tempered distribution…

经典分析与常微分方程 · 数学 2020-08-18 Yurii Kolomoitsev , Maria Skopina

We provide explicit convergence rates for Chernoff-type approximations of convex monotone semigroups which have the form $S(t)f=\lim_{n\to\infty}I(\frac{t}{n})^n f$ for bounded continuous functions $f$. Under suitable conditions on the…

概率论 · 数学 2023-10-17 Jonas Blessing , Lianzi Jiang , Michael Kupper , Gechun Liang

In the present note, we give the generalization of $\alpha-$Baskakov Durrmeyer operators depending on a real parameter $\rho$ > 0. We present the approximation results in Korovkin and weighted Korovkin spaces. We also prove the order of…

经典分析与常微分方程 · 数学 2020-12-29 Jaspreet Kaur , Meenu Goyal

We study a decentralized variant of stochastic approximation, a data-driven approach for finding the root of an operator under noisy measurements. A network of agents, each with its own operator and data observations, cooperatively find the…

机器学习 · 计算机科学 2022-06-17 Sihan Zeng , Thinh T. Doan , Justin Romberg

In a Markovian framework, we consider the problem of finding the minimal initial value of a controlled process allowing to reach a stochastic target with a given level of expected loss. This question arises typically in approximate hedging…

最优化与控制 · 数学 2017-04-06 Géraldine Bouveret , Jean-François Chassagneux

In this article, we introduce the Lipschitz bounded approximation property for operator ideals. With this notion, we extend the original work done by Godefroy and Kalton and give some partial answers on the equivalence between the bounded…

泛函分析 · 数学 2022-01-19 Geunsu Choi , Mingu Jung

For each $q\in{\mathbb{N}}_0$, we construct positive linear polynomial approximation operators $M_n$ that simultaneously preserve $k$-monotonicity for all $0\leq k\leq q$ and yield the estimate \[ |f(x)-M_n(f, x)| \leq c…

经典分析与常微分方程 · 数学 2016-08-02 K. Kopotun , D. Leviatan , A. Prymak , I. A. Shevchuk

Using straightforward linear algebra we derive response operators describing the impact of small perturbations to finite state Markov processes. The results can be used for studying empirically constructed - e.g. from observations or…

统计力学 · 物理学 2016-01-27 Valerio Lucarini

Chernoff approximations to strongly continuous one-parameter semigroups give solutions to a wide class of differential equations. This paper studies the rate of convergence of the Chernoff approximations. We provide simple natural examples…

泛函分析 · 数学 2021-11-02 Oleg E. Galkin , Ivan D. Remizov

In this article we continue the study of smooth Poisson-Cauchy Type singular integral operators on the line regarding their convergence to the unit operator with rates in the Lp norm, p greater equal one. The related established…

经典分析与常微分方程 · 数学 2009-11-10 George Anastassiou , Razvan Mezei
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