Results 101 to 110 of about 19,027 (302)
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 \
openaire +2 more sources
Machine learning interatomic potentials bridge quantum accuracy and computational efficiency for materials discovery. Architectures from Gaussian process regression to equivariant graph neural networks, training strategies including active learning and foundation models, and applications in solid‐state electrolytes, batteries, electrocatalysts ...
In Kee Park +19 more
wiley +1 more source
BIVARIATE POLYNOMIAL INTERPOLATION BASED ON LINE INTEGRALS
We study bivariate polynomial interpolation based on line integrals over line segments connecting two points on two fixed straight lines in the plane.
Van Toan, Do, Van Khiem, Nguyen
core +1 more source
Efficient algorithms for polynomial interpolation and numerical differentiation
Algorithms based on Newton’s interpolation formula are given for: simple polynomial interpolation, polynomial interpolation with derivatives supplied at some of the data points, interpolation with piecewise polynomials having a continuous first ...
Fred T. Krogh
core +1 more source
Abstract The demand for LiOH is driven by the growth of the electric vehicle industry. Evaporative crystallization of LiOH·H2O is energy intensive, whereas ethanol‐based antisolvent crystallization has emerged as a more sustainable alternative. From a process design perspective, the crystallization yield depends on the ethanol dosage, and thermodynamic
Xiaoqi Xu +3 more
wiley +1 more source
Multiquadric quasi-interpolation is an efficient high-dimensional approximation algorithm. It can directly obtain the approximation term and its derivatives without solving any large-scale linear equations.
Ruifeng Wu
doaj +1 more source
Polynomial interpolation in Matlab
The problem of constructing such a continuous function is called data fitting. Many times, data given only at discrete points. With interpolation, we seek a function that allows us to approximate f(x) such that functional values between the original data
Muzaffar Shah Bin Mansor
core
On Polynomial Interpolation Of Two Variables
Polynomial interpolation of two variables based on points that are located on multiple circles is studied. First, the poisedness of a Birkhoff interpolation on points that are located on several concentric circles is established.
Borislav Bojanov +3 more
core +1 more source
A new drag and lift correlation for spherocylinders from fully resolved Immersed Boundary Method
Abstract Many industrial processes deal with non‐spherical particles, e.g., mineral mining and biomass conversion. It is crucial to understand the particles' hydrodynamics to control and optimize these processes. To extend the current state‐of‐the‐art from arrays of spherical particles to spherocylindrical particles, we performed extensive particle ...
A. H. Huijgen +4 more
wiley +1 more source
Polynomial interpolation of GPS satellite coordinates
This article describes an algorithm for polynomial interpolation of GPS satellite coordinates and its implementation in MATLAB. The algorithm is intended for realtime processing software and computes the position and velocity of GPS satellites from both ...
Andersson, Johan Vium,, Horemuz, Milan,
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