Results 121 to 130 of about 162,917 (276)
Interpolation methods for spatial distribution of groundwater mapping electrical conductivity
This study was carried out to develop a conceptual framework for determining the best interpolation method which mainly is employed to calculate the variability maps of electrical conductivity (EC) in neighboring regions.
Saeed Salehi +4 more
doaj +1 more source
Interpolation by Harmonic Polynomials
Abstract : Let Hn(u; z) denote the harmonic polynomial of degree at most n found by interpolation in 2n +1 points to a function u given on the boundary C of a region D of the complex z-plane. It is proved that (a) for any bounded D there always exist interpolation points on C so that Hn can be uniquely determined for each n, and (b) for a wide class of
openaire +3 more sources
Polynomial interpolation in R3
A linear subspace \({G\subset C(R_n)}\) is called \(k\)-interpolating if for every choice of distinct points \({u_1,u_2,\dots,u_k\in R_n}\) and for any choice of scalars \({a_1,a_2,\dots,a_k\in R}\), there exists \({g\in G}\) such that \({g(u_j)=a_j}\), for \({j=1,2,\dots,k}\). The main result of the article is the example of a 12-dimensional subspace \
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This article investigates how persistent homology, persistent Laplacians, and persistent commutative algebra reveal complementary geometric, topological, and algebraic invariants or signatures of real‐world data. By analyzing shapes, synthetic complexes, fullerenes, and biomolecules, the article shows how these mathematical frameworks enhance ...
Yiming Ren, Guo‐Wei Wei
wiley +1 more source
RESUMO: O relevo é representado por diversas formas, dentre elas as curvas de nível (CN). Para obtenção das CN é necessário a interpolação dos pontos cotados.
José Machado
doaj
Life Expectancy (AHH) is a measurement of the average human lifespan accepted and used to assess the quality of health and welfare of a country's population.
Syamsul Maarip +5 more
doaj +1 more source
We propose a residual‐based adversarial‐gradient moving sample (RAMS) method for scientific machine learning that treats samples as trainable variables and updates them to maximize the physics residual, thereby effectively concentrating samples in inadequately learned regions.
Weihang Ouyang +4 more
wiley +1 more source
Quantum algorithm for multivariate polynomial interpolation. [PDF]
Chen J, Childs AM, Hung SH.
europepmc +1 more source
Explaining the Origin of Negative Poisson's Ratio in Amorphous Networks With Machine Learning
This review summarizes how machine learning (ML) breaks the “vicious cycle” in designing auxetic amorphous networks. By transitioning from traditional “black‐box” optimization to an interpretable “AI‐Physics” closed‐loop paradigm, ML is shown to not only discover highly optimized structures—such as all‐convex polygon networks—but also unveil hidden ...
Shengyu Lu, Xiangying Shen
wiley +1 more source
Novel Threshold Changeable Secret Sharing Schemes Based on Polynomial Interpolation. [PDF]
Yuan L, Li M, Guo C, Choo KR, Ren Y.
europepmc +1 more source

