Results 11 to 20 of about 139,076 (281)

Numerical Caseology by Lagrange Interpolation for the 1D Neutron Transport Equation in a Slab [PDF]

open access: yesNuclear science and engineering, 2022
Here, we are concerned with a new, highly precise, numerical solution to the one-dimensional neutron transport equation based on Case’s analytical, singular eigenfunction expansion (SEE). While a considerable number of numerical solutions currently exist,
B. Ganapol
semanticscholar   +1 more source

Polynomial mapped bases: theory and applications [PDF]

open access: yesCommunications in Applied and Industrial Mathematics, 2022
In this paper, we collect the basic theory and the most important applications of a novel technique that has shown to be suitable for scattered data interpolation, quadrature, bio-imaging reconstruction.
S. Marchi   +3 more
semanticscholar   +1 more source

Enhancement of inverse-distance-weighting 2D interpolation using accelerated decline

open access: yesReports on Geodesy and Geoinformatics, 2023
Two-dimensional interpolation – or surface fitting – is an approximation tool with applications in geodetic datum transformations, terrain modelling and geoid determination.
A. Ruffhead
semanticscholar   +1 more source

Improved error bound for multivariate Chebyshev polynomial interpolation [PDF]

open access: yesInternational Journal of Computational Mathematics, 2016
Chebyshev interpolation is a highly effective, intensively studied method and enjoys excellent numerical properties which provides tremendous application potential in mathematical finance.
K. Glau, M. Mahlstedt
semanticscholar   +1 more source

Islet: Interpolation semi-Lagrangian element-based transport

open access: yesGeoscientific Model Development, 2021
. Advection of trace species (tracers), also called tracer transport, in models of the atmosphere and other physical domains is an important and potentially computationally expensive part of a model's dynamical core (dycore).
A. Bradley, P. Bosler, O. Guba
semanticscholar   +1 more source

Covid-19 growth rate analysis: application of a low-complexity tool for understanding and comparing epidemic curves

open access: yesRevista da Sociedade Brasileira de Medicina Tropical, 2020
INTRODUCTION: The acceleration of new cases is important for the characterization and comparison of epidemic curves. The objective of this study was to quantify the acceleration of daily confirmed cases and death curves using the polynomial ...
Airandes de Sousa Pinto   +6 more
doaj   +1 more source

Data processing method of noise logging based on cubic spline interpolation

open access: yes, 2021
Noise logging is a method to determine the natural noise in a well. In the actual production logging process, it is a common situation that the noise data is not continuous with depth, which can be solved by the cubic spline interpolation method.
W. Hao   +5 more
semanticscholar   +1 more source

High order algorithms for numerical solution of fractional differential equations

open access: yesAdvances in Difference Equations, 2021
In this paper, two novel high order numerical algorithms are proposed for solving fractional differential equations where the fractional derivative is considered in the Caputo sense. The total domain is discretized into a set of small subdomains and then
Mohammad Shahbazi Asl   +2 more
doaj   +1 more source

Computing knots by quadratic and cubic polynomial curves

open access: yesComputational Visual Media, 2020
A new method is presented to determine parameter values (knot) for data points for curve and surface generation. With four adjacent data points, a quadratic polynomial curve can be determined uniquely if the four points form a convex polygon.
Fan Zhang   +3 more
doaj   +1 more source

Resampling images in Fourier domain [PDF]

open access: yes, 2014
When simulating sky images, one often takes a galaxy image $F(x)$ defined by a set of pixelized samples and an interpolation kernel, and then wants to produce a new sampled image representing this galaxy as it would appear with a different point-spread ...
Bernstein, Gary M., Gruen, Daniel
core   +1 more source

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