Results 21 to 30 of about 219,965 (278)
Approximation of Parametric Derivatives by the Empirical Interpolation Method [PDF]
, 2011 We introduce a general a priori convergence result for the approximation of parametric derivatives of parametrized functions. We consider the best approximations to parametric derivatives in a sequence of approximation spaces generated by a general ...
A. Quarteroni +18 more
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Some Notes on Error Analysis for Kernel Based Regularized Interpolation
International Journal of Analysis and Applications, 2020 Kernel based regularized interpolation is one of the most important methods for approximating functions. The theory behind the kernel based regularized interpolation is the well-known Representer Theorem, which shows the form of approximation function in
Qing Zou
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Faber-Schauder Wavelet Sparse Grid Approach for Option Pricing with Transactions Cost
Abstract and Applied Analysis, 2014 Transforming the nonlinear Black-Scholes equation into the diffusion PDE by introducing the log transform of S and (T−t)→τ can provide the most stable platform within which option prices can be evaluated.
Shu-Li Mei
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Fast Linear Canonical Transform for Nonequispaced Data
Fractal and Fractional, 2023 The investigations of the discrete and fast linear canonical transform (LCT) are becoming one of the hottest research topics in modern signal processing and optics.
Yannan Sun, Wenchao Qian
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On the constrained mock-Chebyshev least-squares
, 2014 The algebraic polynomial interpolation on uniformly distributed nodes is affected by the Runge phenomenon, also when the function to be interpolated is analytic.
De Marchi, Stefano +2 more
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Abstract and Applied Analysis, 2013 Considering two-dimensional compressible miscible displacement flow in porous media, finite difference schemes on grids with local refinement in time are constructed and studied.
Wei Liu
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Scattered Data Interpolation on Embedded Submanifolds with Restricted Positive Definite Kernels: Sobolev Error Estimates [PDF]
, 2011 In this paper we investigate the approximation properties of kernel interpolants on manifolds. The kernels we consider will be obtained by the restriction of positive definite kernels on $\R^d$, such as radial basis functions (RBFs), to a smooth, compact
Fuselier, Edward, Wright, Grady
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Kinematics of Multigrid Monte Carlo
, 1992 We study the kinematics of multigrid Monte Carlo algorithms by means of acceptance rates for nonlocal Metropolis update proposals. An approximation formula for acceptance rates is derived. We present a comparison of different coarse-to-fine interpolation
A. S. Kronfeld +26 more
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International Journal of Mathematics and Mathematical Sciences, 1996 In order to the second order Cauchy problem (CP2):x″(t)=Ax(t), x(0)=x∈D(An), x″(0)=y∈D(Am) on a Banach space, Arendt and Kellermann recently introduced the integrated cosine function.
Quan Zheng
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APPROXIMATELY SINGULAR WAVELET
Системный анализ и прикладная информатика, 2018 The problem of approximation is relevant for most engineering applications. In this connection, the universal methods of approximation are of interest. The method of nonparametric approximation is developing in the paper – the method of singular wavelets.
V. M. Romanchak
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