Results 181 to 190 of about 1,082,837 (347)
ABSTRACT This study presents a new optimized block hybrid method and spectral simple iteration method (OBHM‐SSIM) for solving nonlinear evolution equations. In this method, we employed a combination of the spectral collocation method in space and the optimized block hybrid method in time, along with a simple iteration scheme to linearize the equations.
Salma Ahmedai +4 more
wiley +1 more source
Kokkos Kernels: Performance Portable Sparse/Dense Linear Algebra and Graph Kernels [PDF]
Sivasankaran Rajamanickam +9 more
openalex +1 more source
ABSTRACT We apply the discrete mechanics approach to the discretisation of geometrically exact Cosserat rods. We consider discrete Cosserat rods defined on a vertex (or nodal) grid, as well as on a staggered grid, and provide a review and update of the results already obtained in Part I for the nodal model variant and, for the first time, present a ...
Holger Lang +5 more
wiley +1 more source
Positive definite kernels on free product semigroups and universal algebras
Gelu Popescu
openalex +2 more sources
Topological Modules: Banach Algebras, Tensor Products, Algebras of Kernels [PDF]
openaire +2 more sources
Objective Socioeconomic status (SES) and lifestyle activities (LA) are strongly related, and both are associated with dementia risk. We investigated the influence of SES and LA on brain atrophy and cognitive decline considering amyloid‐beta (Aβ) positron emission tomography and white matter hyperintensity (WMH) load.
Dario Bachmann +11 more
wiley +1 more source
Nuclear semimodules and kernel theorems in idempotent analysis. An algebraic approach [PDF]
Grigori Litvinov, Grigori Shpiz
openalex +1 more source
Strong endomorphism kernel property for finite Brouwerian semilattices and relative Stone algebras
Jaroslav Guričan, Heghine Ghumashyan
openalex +1 more source
Ordered homomorphisms and kernels of ordered BCI-algebras [PDF]
Eunsuk Yang, Eun Hwan Roh, Young Bae Jun
openalex +1 more source
A probabilistic diagnostic for Laplace approximations: Introduction and experimentation
Abstract Many models require integrals of high‐dimensional functions: for instance, to obtain marginal likelihoods. Such integrals may be intractable, or too expensive to compute numerically. Instead, we can use the Laplace approximation (LA). The LA is exact if the function is proportional to a normal density; its effectiveness therefore depends on ...
Shaun McDonald, Dave Campbell
wiley +1 more source

