Results 71 to 80 of about 6,839,663 (111)
Voronovskaya Type Asymptotic Expansions for Error Function Based Quasi-interpolation Neural Networks
Here we examine the quasi-interpolation error function based neural network operators of one hidden layer. Based on fractional calculus theory we derive a fractional Voronovskaya type asymptotic expansion for the error of approximation of these operators
Anastassiou, George A. +1 more
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Some structural theorems for inelastic solids : an internal variable approach. [PDF]
Includes bibliographical references.The theory of inelastic solids involving thermodynamic potential functions with internal variables is reviewed.
Carter, Peter
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Voronovskaya Like Asymptotic Expansions for Multivariate Generalized Discrete Singular Operators
Here we give asymptotic expansions for the generalized discrete versions of unitary Picard, Gauss-Weierstrass, and Poisson-Cauchy singular operators.
Kester, Merve +3 more
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Natural Inductive Theorems for Higher-Order Rewriting [PDF]
The notion of inductive theorems is well-established in first-order term rewriting. In higher-order term rewriting, in contrast, it is not straightforward to extend this notion because of extensionality (Meinke, 1992).
Chiba, Yuki +2 more
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Implicit Function Theorems for Non-Differentiable Mappings
Sufficient conditions are given for a mapping to be $\gamma$-G inverse differentiable. Constrained implicit function theorems for $\gamma$-G inverse differentiable mappings are obtained. The constraints are either closed convex cones or closed subsets in
Bian, W
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Stochastic Versions of Turnpike Theorems in the Sense of Uniform Topology [PDF]
In this paper, a stochastic endogenous aggregative growth model is constructed and two main results are established, based on endogenous horizon of the economy and endogenous terminal capital stock, which is also efficient capital accumulation in some ...
Darong Dai
core
Here we introduce the normalized bell and squashing type neural network operators of one hidden layer. Based on fractional calculus theory we derive fractional Voronovskaya type asymptotic expansions for the error of approximation of these operators to ...
Anastassiou, George A.
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Here we introduce the multivariate normalized bell and squashing type neural net-work operators of one hidden layer. We derive multivariate Voronovskaya type asymptotic expansions for the error of approximation of these operators to the unit operator ...
Anastassiou, George A.
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Szász-type operators which preserves e0 and e2
In the present article, we introduce a generalization of Szász-type operators which preserves test functions e0 and e2 (ei = ti; i = 0; 2). By these sequence of positive linear operators, we give better error estimation analytically using modulus of ...
Deepmala,, Wafi, Abdul, Rao, Nadeem
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Onnewstrongversions of Browder type theorems
Anoperator T actingonaBanachspace X satis estheproperty(UW )if a(T)∖ SF− + (T) = (T), where a(T)istheapproximatepointspectrumofT, SF− + (T)istheuppersemi-WeylspectrumofT and (T) the set of all poles of T.
Rosas, Ennis +4 more
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