Results 11 to 20 of about 373,199 (312)
An Approximate Consumption Function [PDF]
SSRN Electronic Journal, 2008 This paper proposes an approximation to the consumption function in the buffer-stock model. The approximation is based on the analytic properties of the consumption function in the buffer-stock model. In such model, the consumption function is increasing
Mario Padula
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Approximation of hysteresis functional
Journal of Computational and Applied Mathematics, 2021 We develop a practical discrete model of hysteresis based on nonlinear play and generalized play, for use in first-order conservation laws with applications to adsorption-desorption hysteresis models. The model is easy to calibrate from sparse data, and offers rich secondary curves. We compare it with discrete regularized Preisach models. We also prove
Malgorzata Peszynska, Ralph E. Showalter
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On approximately monotone and approximately Hölder functions [PDF]
Periodica Mathematica Hungarica, 2020 AbstractA real valued functionfdefined on a real open intervalIis called$$\Phi $$Φ-monotone if, for all$$x,y\in I$$x,y∈Iwith$$x\le y$$x≤yit satisfies$$\begin{aligned} f(x)\le f(y)+\Phi (y-x), \end{aligned}$$f(x)≤f(y)+Φ(y-x),where$$ \Phi :[0,\ell (I) [ \rightarrow \mathbb {R}_+$$Φ:[0,ℓ(I)[→R+is a given nonnegative error function, where$$\ell (I)$$ℓ(I ...
Angshuman R. Goswami, Zsolt Páles
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Approximation by Filter Functions [PDF]
, 2018 In this exploratory article, we draw attention to the common formal ground among various estimators such as the belief functions of evidence theory and their relatives, approximation quality of rough set theory, and contextual probability. The unifying concept will be a general filter function composed of a basic probability and a weighting which ...
Ivo Düntsch +2 more
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A Comparison between Fixed-Basis and Variable-Basis Schemes for Function Approximation and Functional Optimization [PDF]
, 2012 Fixed-basis and variable-basis approximation schemes are compared for the problems of function approximation and functional optimization (also known as infinite programming).
Gnecco, Giorgio +3 more
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Linear and Quadratic Interpolators Using Truncated-Matrix Multipliers and Squarers
Computers, 2015 This paper presents a technique for designing linear and quadratic interpolators for function approximation using truncated multipliers and squarers. Initial coefficient values are found using a Chebyshev-series approximation and then adjusted through ...
E. George Walters III
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On the Universally Optimal Activation Function for a Class of Residual Neural Networks
AppliedMath, 2022 While non-linear activation functions play vital roles in artificial neural networks, it is generally unclear how the non-linearity can improve the quality of function approximations.
Feng Zhao, Shao-Lun Huang
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Uniform Approximation of Functions with Discrete Approximation Functionals
Journal of Approximation Theory, 1999 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Chandler, Colston, Gibson, Archie G.
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Approximation by inner functions [PDF]
Pacific Journal of Mathematics, 1969 Let L°°(T) denote the complex Banach algebra of (equivalence classes of) bounded measurable functions on the unit circle T, relative to Lebesgue measure m. The norm 11 /11» of an / in L^iT) is the essential supremum of |/| on T. The collection of all bounded holomorphic functions in the open unit disc U forms a Banach algebra which can be identified ...
Douglas, R. G., Rudin, Walter
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Mathematics, 2022 The paper considers the slope flow simulation and the problem of finding the optimal parameter values of this mathematical model. The slope flow is modeled using the finite volume method applied to the Reynolds-averaged Navier–Stokes equations with ...
Konstantin Barkalov +5 more
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