Results 11 to 20 of about 491,321 (284)

Lagrange Multivariate Polynomial Interpolation: A Random Algorithmic Approach

open access: yesJournal of Applied Mathematics, 2022
The problems of polynomial interpolation with several variables present more difficulties than those of one-dimensional interpolation. The first problem is to study the regularity of the interpolation schemes.
A. Essanhaji, M. Errachid
doaj   +1 more source

The problem of trigonometric Fourier series multipliers of classes in λp,q spaces

open access: yesҚарағанды университетінің хабаршысы. Математика сериясы, 2020
In this article, we consider weighted spaces of numerical sequences λp,q, which are defined as sets of sequences a = {ak}∞k=1, for which the norm ||a||λp,q := (∞Σk=1|ak|qkq/p −1)1/q < ∞ is finite. In the case of non-increasing sequences, the norm of the
A. Bakhyt, N.T. Tleukhanova
doaj   +1 more source

Geodesic Learning With Uniform Interpolation on Data Manifold

open access: yesIEEE Access, 2022
Recently with the development of deep learning on data representation and generation, how to sampling on a data manifold becomes a crucial problem for research.
Cong Geng   +3 more
doaj   +1 more source

Comparison of Different Approaches to Define the Applicability Domain of QSAR Models

open access: yesMolecules, 2012
One of the OECD principles for model validation requires defining the Applicability Domain (AD) for the QSAR models. This is important since the reliable predictions are generally limited to query chemicals structurally similar to the training compounds ...
Roberto Todeschini   +5 more
doaj   +1 more source

A Hybrid Method for Interpolating Missing Data in Heterogeneous Spatio-Temporal Datasets

open access: yesISPRS International Journal of Geo-Information, 2016
Space-time interpolation is widely used to estimate missing or unobserved values in a dataset integrating both spatial and temporal records. Although space-time interpolation plays a key role in space-time modeling, existing methods were mainly developed
Min Deng   +3 more
doaj   +1 more source

Matrix-interpolation-based parametric model order reduction for multiconductor transmission lines with delays [PDF]

open access: yes, 2015
A novel parametric model order reduction technique based on matrix interpolation for multiconductor transmission lines (MTLs) with delays having design parameter variations is proposed in this brief.
Dhaene, Tom   +2 more
core   +2 more sources

Soil parameters in terms of entropy coordinates [PDF]

open access: yesE3S Web of Conferences, 2023
In the ongoing research, an approximate, grading entropy based, advanced interpolation method is applied to establish empirical functions between the grading curves and the model parameters of sands. The space of the grain size distribution curves with N
Imre Emőke   +6 more
doaj   +1 more source

Generalization of the Kimeldorf-Wahba correspondence for constrained interpolation [PDF]

open access: yes, 2016
In this paper, we extend the correspondence between Bayes' estimation and optimal interpolation in a Reproducing Kernel Hilbert Space (RKHS) to the case of linear inequality constraints such as boundedness, monotonicity or convexity. In the unconstrained
Bay, Xavier   +2 more
core   +7 more sources

Enhancing Indoor Air Quality Estimation: A Spatially Aware Interpolation Scheme

open access: yesISPRS International Journal of Geo-Information, 2023
The comprehensive and accurate assessment of the indoor air quality (IAQ) in large spaces, such as offices or multipurpose facilities, is essential for IAQ management.
Seungwoog Jung, Seungwan Han, Hoon Choi
doaj   +1 more source

Interpolating Strange Attractors via Fractional Brownian Bridges

open access: yesEntropy, 2022
We present a novel method for interpolating univariate time series data. The proposed method combines multi-point fractional Brownian bridges, a genetic algorithm, and Takens’ theorem for reconstructing a phase space from univariate time series data. The
Sebastian Raubitzek   +3 more
doaj   +1 more source

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