Results 31 to 40 of about 816,649 (277)
Some Subclasses of Spirallike Multivalent Functions Associated with a Differential Operator
In this paper we study convolution properties of spirallike multivalent functions defined by using a differential operator and higher order derivatives. Using convolution product relations we determine necessary and sufficient conditions for multivalent ...
Ekram Elsayed Ali +3 more
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Certain fundamental properties of generalized natural transform in generalized spaces
This paper considers the definition and the properties of the generalized natural transform on sets of generalized functions. Convolution products, convolution theorems, and spaces of Boehmians are described in a form of auxiliary results.
Shrideh Khalaf Al-Omari, Serkan Araci
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We use a generalized Brownian motion process to define the generalized Fourier-Feynman transform, the convolution product, and the first variation. We then examine the various relationships that exist among the first variation, the generalized Fourier ...
Seung Jun Chang, Jae Gil Choi
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Generalized Auto-Convolution Volterra Integral Equations: Numerical Treatments
In this paper, we use the operational Tau method based on orthogonal polynomials to achieve a numerical solution of generalized autoconvolution Volterra integral equations.
Mahdi Namazi Nezamabadi, Saeed Pishbin
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BSDEs are applied in many areas, particularly in finance and economics. In this paper, we extended the convolution method to numerically solve FBSDEs. First, a generalized θ-scheme is applied to discretize the backwards component. Second, the convolution
Kexin Fu +3 more
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Free Generalized Gamma Convolutions [PDF]
ما يسمى بيوكسيشن بيركوفيسي باتا يضع مجموعة من القوانين الكلاسيكية القابلة للقسمة بلا حدود لمجموعة من القوانين الحرة القابلة للقسمة بلا حدود. الغرض من هذا العمل هو دراسة القوانين الحرة القابلة للقسمة بلا حدود المقابلة لالتفافات غاما المعممة الكلاسيكية (GGC).
Victor Perez Abreu, Noriyoshi Sakuma
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SimNets: A Generalization of Convolutional Networks
We present a deep layered architecture that generalizes classical convolutional neural networks (ConvNets). The architecture, called SimNets, is driven by two operators, one being a similarity function whose family contains the convolution operator used in ConvNets, and the other is a new soft max-min-mean operator called MEX that realizes classical ...
Nadav Cohen 0001, Amnon Shashua
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Characterizations of L-additive functions via generalized arithmetic convolutions [PDF]
This paper investigates the properties of L-additive functions within the algebraic frameworks of two generalized arithmetic convolutions: the K-convolution and Narkiewicz's A-convolution.
Champak Talukdar +2 more
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Convolution operators and the discrete Laplacian [PDF]
PhDIn this thesis, we obtain new results for convolution operators on homogeneous spaces and give applications to the Laplacian on a homogeneous graph. Some of these results have been published in joint papers [13, 14] with my supervisor.
Chen, Chung-Chuan
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Localization Operators for the Linear Canonical Dunkl Windowed Transformation
One of the best known time–frequency tools for examining non-transient signals is the linear canonical windowed transform, which has been used extensively in signal processing and related domains. In this paper, by involving the harmonic analysis for the
Saifallah Ghobber, Hatem Mejjaoli
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