Results 111 to 120 of about 601,821 (236)
AN OPTIMAL QUADRATURE FORMULA OF CLOSED TYPE [PDF]
application/pdfAn optimal 3-point quadrature formula of closed type is derived.
Ujevic, Nenad, 29958
core +1 more source
Midpoint Derivative-Based Closed Newton-Cotes Quadrature
A novel family of numerical integration of closed Newton-Cotes quadrature rules is presented which uses the derivative value at the midpoint. It is proved that these kinds of quadrature rules obtain an increase of two orders of precision over the ...
Weijing Zhao, Hongxing Li
doaj +1 more source
ABSTRACT Mathematical models describing physical or biological processes are often involved and need a lot of parameters whose values may be unknown and hence must be estimated. Some parameters may have a strong impact on the solution and are hence important to know in order to obtain accurate results, whereas other parameters may have little impact on
Henry Jäger, Bernd Simeon
wiley +1 more source
Quadrature formulas and taylor series of secant and tangent [PDF]
Second-order quadrature formulas and their fourth-order expansions are derived from the Taylor series of the secant and tangent functions. The errors of the approximations are compared to the error of the midpoint approximation.
Yuri Dimitrov +2 more
doaj
Probing and Graph Coloring Techniques for Trace Estimation in Lattice QCD
ABSTRACT The computation of Tr[D−1]$\mathrm{Tr}[D^{-1}]$, where D$D$ is the Wilson–Dirac matrix of Lattice QCD, is a fundamental and computationally demanding task with applications to disconnected hadronic correlation functions. Since D−1$D^{-1}$ is a dense matrix of prohibitive size, its trace cannot be computed exactly, and one must resort to ...
Mario Papace +5 more
wiley +1 more source
A generalized Birkhoff–Young–Chebyshev quadrature formula for analytic functions
A generalized N-point Birkhoff-Young quadrature of interpolatory type, with the Chebyshev weight, for numerical integration of analytic functions is considered. The nodes of such a quadrature are characterized by an orthogonality relation.
Aleksandar S. Cvetković +5 more
core +1 more source
Quadrature Based Neural Network Learning of Stochastic Hamiltonian Systems
Hamiltonian Neural Networks (HNNs) provide structure-preserving learning of Hamiltonian systems. In this paper, we extend HNNs to structure-preserving inversion of stochastic Hamiltonian systems (SHSs) from observational data.
Xupeng Cheng, Lijin Wang, Yanzhao Cao
doaj +1 more source
A Sequential Monte Carlo Method for Bayesian Poisson Process Trees
ABSTRACT Statistical analysis of spatial point patterns often needs to deal with heterogeneous structures in intensity function estimation with possibly high‐dimensional covariate space. Likelihood based inference for spatial point process models needs to address the challenges in evaluating the multidimensional integral of random intensity function ...
Pulong Ma
wiley +1 more source
Abstract Spatial heterogeneity, manifested as strong variability in hydraulic conductivity (K) within geological formations, exerts a fundamental control on groundwater flow and solute transport. Because K can vary over multiple orders of magnitude in complex three‐dimensional patterns, predicting contaminant plume migration remains a long‐standing ...
Zhilin Guo +8 more
wiley +1 more source
The error norm of quadrature formulae
This paper surveys the methods for computation of the norms of the error term functionals of quadrature formulas covering Gauss, Gauss-Lobatto, Gauss-Radau, Gauss-Kronrod and Fejér type quadratures.
openaire +2 more sources

