Results 41 to 50 of about 1,550,711 (171)
Compression by Noise Equalization [PDF]
For any relation of the noise variance with the gray value, a nonlinear transform h(g) can be applied so that the variance of the transformed signal h is constant.
Jähne, Bernd
core +1 more source
A close look at Newton–Cotes integration rules
Newton–Cotes integration rules are the simplest methods in numerical integration. The main advantage of using these rules in quadrature software is ease of programming.
Emre Sermutlu
doaj
Toward an Efficient Shifted Cholesky QR for Applications in Model Order Reduction Using pyMOR
ABSTRACT Many model order reduction (MOR) methods rely on the computation of an orthonormal basis of a subspace onto which the large full order model is projected. Numerically, this entails the orthogonalization of a set of vectors. The nature of the MOR process imposes several requirements for the orthogonalization process.
Maximilian Bindhak +2 more
wiley +1 more source
Local continuum consistent peridynamics with bond‐associated modeling and dynamic fracture
Abstract This paper explores the theoretical foundations and practical challenges of peridynamics as a nonlocal continuum mechanics method. We establish connections between classical continuum mechanics principles and peridynamics formulations, with a particular focus on understanding how the pairwise force function in peridynamics relates to stress ...
Kai Partmann +3 more
wiley +1 more source
Symplectic integration without roundoff error [PDF]
Most numerical integration algorithms are not designed specifically for Hamiltonian systems and do not respect their characteristic properties, which include the preservation of phase space volume with time. This can lead to spurious damping or excitation.
openaire +2 more sources
The Climate Modeling Alliance Atmosphere Dynamical Core: Concepts, Numerics, and Scaling
Abstract This paper presents the dynamical core of the Climate Modeling Alliance (CliMA) atmosphere model, designed for efficient simulation of a wide range of atmospheric flows across scales. The core uses the nonhydrostatic equations of motion for a deep atmosphere, discretized with a hybrid approach that combines a spectral element method (SEM) in ...
Dennis Yatunin +18 more
wiley +1 more source
This article reviews and compares popular methods, some old and some recent, that produce time series having Poisson marginal distributions. The article begins by narrating ways where time series with Poisson marginal distributions can be produced.
Jiajie Kong, Robert Lund
wiley +1 more source
Abstract Machine learning (ML) weather models like GraphCast and NeuralGCM show forecasting promise but face fundamental limitations for data assimilation (DA) integration. This study reveals critical problems in error covariance representation and adjoint sensitivity patterns challenging their operational viability.
Xiaoxu Tian +2 more
wiley +1 more source
This paper investigates the stability of an Euler–Bernoulli beam subject to boundary memory and highlights the fundamentally different mechanisms associated with polynomially and exponentially decaying resolvent kernels. The formulation distinguishes the original memory kernel, its Volterra resolvent, the compatibility conditions, and the corresponding
Marie Esther Anassé +3 more
wiley +1 more source

