Results 31 to 40 of about 226,983 (292)
Some Notes on Error Analysis for Kernel Based Regularized Interpolation
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
doaj
On the constrained mock-Chebyshev least-squares
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
core +1 more source
Faber-Schauder Wavelet Sparse Grid Approach for Option Pricing with Transactions Cost
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
doaj +1 more source
Undamped Free Vibration Analysis of Functionally Graded Beams: A Dynamic Finite Element Approach
A Dynamic Finite Element (DFE) method for coupled axial–flexural undamped free vibration analysis of functionally graded beams is developed and subsequently used to investigate the system’s natural frequencies and mode shapes. The formulation is based on
Aaron Gee, Seyed M. Hashemi
doaj +1 more source
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]
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
core +3 more sources
Kinematics of Multigrid Monte Carlo
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
core +1 more source
Fast Linear Canonical Transform for Nonequispaced Data
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
doaj +1 more source
Self-Similar Crossover in Statistical Physics
An analytical method is advanced for constructing interpolation formulae for complicated problems of statistical mechanics, in which just a few terms of asymptotic expansions are available.
Baker +34 more
core +1 more source
Statistical mechanics of interpolation nodes, pluripotential theory and complex geometry [PDF]
This is mainly a survey, explaining how the probabilistic (statistical mechanical) construction of Kahler-Einstein metrics on compact complex manifolds, introduced in a series of works by the author, naturally arises from classical approximation and ...
R. Berman
semanticscholar +1 more source

