Results 111 to 120 of about 5,678 (257)

A WSN Layer-Cluster Key Management Scheme Based on Quadratic Polynomial and Lagrange Interpolation Polynomial. [PDF]

Sensors (Basel), 2020
Wang X, Yang Z, Feng Z, Zhao J.
europepmc   +1 more source

Gradient Estimation using Lagrange Interpolation Polynomials

In this paper we use Lagrange interpolation polynomials to obtain good gradient estimations.This is e.g. important for nonlinear programming solvers.As an error criterion we take the mean squared error.This error can be split up into a deterministic and ...
Brekelmans, R.C.M., Hamers, H.J.M., Hertog, D. den, Driessen, L.   +3 more
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Comparing trigonometric interpolation against the Barycentric form of Lagrange interpolation : A battle of accuracy, stability and cost

, 2022
This report analyzes and compares Barycentric Lagrange interpolation to Cardinal Trigonometric interpolation, with regards to computational cost and accuracy.
Söderqvist, Beatrice
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A FRACTIONAL DELAY FIR FILTER BASED ON LAGRANGE INTERPOLATION OF FARROW STRUCTURE

, 2020
An efficient implementation technique for the Lagrange interpolation is derived. This formulation called the Farrow structure leads to a version of Lagrange interpolation that is well suited to time varying FD filtering.
RAJALAKSHMI, K., GONDI, SWATHI, KANDASWAMY, A.   +2 more
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Local Polynomial Regression and Filtering for a Versatile Mesh‐Free PDE Solver

International Journal for Numerical Methods in Fluids, Volume 98, Issue 7, Page 804-839, July 2026.
A high‐order, mesh‐free finite difference method for solving differential equations is presented. Both derivative approximation and scheme stabilisation is carried out by parametric or non‐parametric local polynomial regression, making the resulting numerical method accurate, simple and versatile. Numerous numerical benchmark tests are investigated for
Alberto M. Gambaruto
wiley   +1 more source

Symbolic polynomial interpolation using Mathematica

, 2004
This paper discusses teaching polynomial interpolation with the help of Mathematica. The symbolic power of Mathematica is utilized to prove a theorem for the error term in Lagrange interpolating formula.
Yazıcı, Adnan, Altas, I, Ergenc, T
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Convergence of Lagrange interpolation series in the Fock spaces

, 2021
We study the uniqueness sets, the weak interpolation sets, and convergence of the Lagrange interpolation series in radial weighted Fock ...
Kellay, Karim, Dumont, André
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Electricity Price Prediction Using Multikernel Gaussian Process Regression Combined With Kernel‐Based Support Vector Regression

Journal of Forecasting, Volume 45, Issue 4, Page 2059-2077, July 2026.
ABSTRACT This paper presents a new hybrid model for predicting German electricity prices. The algorithm is based on a combination of Gaussian process regression (GPR) and support vector regression (SVR). Although GPR is a competent model for learning stochastic patterns within data and for interpolation, its performance for out‐of‐sample data is not ...
Abhinav Das, Stephan Schlüter, Lorenz Schneider   +2 more
wiley   +1 more source

Machine Learning‐Based Loan Approval Automation: Enhancing Efficiency, Accuracy and Fairness in Credit Decision‐Making

Expert Systems, Volume 43, Issue 7, July 2026.
ABSTRACT Traditional loan approval processes are manual, time‐consuming and susceptible to human bias. This research develops a machine learning‐based system to automate loan eligibility assessment while enhancing efficiency, accuracy and fairness in credit decision‐making. We developed and compared multiple supervised ML models—including Random Forest,
Mani Ghahremani, Hellen Amimo Otieno, Mishanil Kazreen, Stavros Shiaeles   +3 more
wiley   +1 more source

Lagrange interpolation and some applications

, 2009
Bu çalışmada, M.T. Rashed'in 2004 yılında, Lagrange interpolasyon yöntemi ile diferansiyel, integral ve integro diferansiyel denklemlerin nümerik çözümleri için geliştirdiği iki metot, örnekleri ile birlikte incelenecektir. Bunun için ikinci kısımda
Cantürk, Mevlana
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