Results 1 to 10 of about 1,925,469 (317)
Gamma Generalization Operators Involving Analytic Functions
In the present paper, we give an operator with the help of a generalization of Boas–Buck type polynomials by means of Gamma function. We have approximation properties and moments.
Qing-Bo Cai +2 more
doaj +2 more sources
Determining the optimal generalization operators of city buildings is a crucial step during the building generalization process and an important aspect of realizing cross-scale updating of map data.
Xinyu Niu +4 more
doaj +2 more sources
Superdensity operators for spacetime quantum mechanics
We introduce superdensity operators as a tool for analyzing quantum information in spacetime. Superdensity operators encode spacetime correlation functions in an operator framework, and support a natural generalization of Hilbert space techniques and ...
Jordan Cotler +3 more
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Development of the Method of Averaging in Clifford Geometric Algebras
We develop the method of averaging in Clifford (geometric) algebras suggested by the author in previous papers. We consider operators constructed using two different sets of anticommuting elements of real or complexified Clifford algebras.
Dmitry Shirokov
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On modified Dunkl generalization of Szász operators via q-calculus
The purpose of this paper is to introduce a modification of q-Dunkl generalization of exponential functions. These types of operators enable better error estimation on the interval [ 1 2 , ∞ ) $[\frac{1}{2},\infty)$ than the classical ones.
M Mursaleen +2 more
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A generalization of Kantorovich operators for convex compact subsets [PDF]
In this paper we introduce and study a new sequence of positive linear operators acting on function spaces defined on a convex compact subset. Their construction depends on a given Markov operator, a positive real number and a sequence of probability ...
Altomare, Francesco +3 more
core +3 more sources
A Kantorovich-Stancu Type Generalization of Szasz Operators including Brenke Type Polynomials
We introduce a Kantorovich-Stancu type modification of a generalization of Szasz operators defined by means of the Brenke type polynomials and obtain approximation properties of these operators.
Rabia Aktaş +2 more
doaj +2 more sources
Neural operators for accelerating scientific simulations and design [PDF]
Scientific discovery and engineering design are currently limited by the time and cost of physical experiments. Numerical simulations are an alternative approach but are usually intractable for complex real-world problems.
Kamyar Azzizadenesheli +5 more
semanticscholar +1 more source
A hexagon-based method for polygon generalization using morphological operators
Numerous methods based on square rasters have been proposed for polygon generalization. However, these methods ignore the inconsistent distance measurement among neighborhoods of squares, which may result in an imbalanced generalization in different ...
Lu Wang +4 more
semanticscholar +1 more source
On the training and generalization of deep operator networks [PDF]
We present a novel training method for deep operator networks (DeepONets), one of the most popular neural network models for operators. DeepONets are constructed by two sub-networks, namely the branch and trunk networks.
Sanghyun Lee, Yeonjong Shin
semanticscholar +1 more source

