Results 61 to 70 of about 1,759 (181)
Abstract Accurate identification of nonaqueous phase liquid (NAPL) contamination sources is critical in pollution management. However, the joint inversion of source characteristics and heterogeneous hydrogeological parameters faces two major challenges.
Jiannan Luo +6 more
wiley +1 more source
Density-functional perturbation theory goes time-dependent
The scope of time-dependent density-functional theory (TDDFT) is limited to the lowest portion of the spectrum of rather small systems (a few tens of atoms at most).
Gebauer, Ralph +2 more
doaj +1 more source
A global Lanczos method for image restoration
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Abdeslem Hafid Bentbib +3 more
openaire +2 more sources
Abstract By employing the conditional nonlinear optimal perturbation approach within a two‐layer quasigeostrophic (QG) model, we investigate the sensitive areas for targeted observations of mesoscale eddies relevant to sea surface height anomaly (SSHA) forecasting and reveal their pronounced latitude dependence.
Lin Jiang, Wansuo Duan, Hui Wang
wiley +1 more source
Inflationary power spectrum from the Lanczos algorithm
The generalized Lanczos algorithm can provide a universal method for constructing a wave function under the the Hamiltonian group structure. Based on this fact, we obtain an open two-mode squeezed state as the quantum origin for the curvature ...
Ke-Hong Zhai +2 more
doaj +1 more source
Stochastic Lanczos estimation of genomic variance components for linear mixed-effects models
Background Linear mixed-effects models (LMM) are a leading method in conducting genome-wide association studies (GWAS) but require residual maximum likelihood (REML) estimation of variance components, which is computationally demanding. Previous work has
Richard Border, Stephen Becker
doaj +1 more source
Advanced Design for Weakly Coupled Resonators by Automatic Active Optimization
An Automatic Active Optimization (AAO) strategy integrates machine learning predictors and genetic algorithms in a closed‐loop workflow. By iteratively expanding its dataset with new discoveries, AAO overcomes the limits of conventional methods. This approach finds superior microstructural designs beyond the initial sample space. We demonstrate this on
Wei Yue +8 more
wiley +1 more source
Indefinite Ruhe’s Variant of the Block Lanczos Method for Solving the Systems of Linear Equations
In this paper, we equip Cn with an indefinite scalar product with a specific Hermitian matrix, and our aim is to develop some block Krylov methods to indefinite mode.
M. Ghasemi Kamalvand, K. Niazi Asil
doaj +1 more source
Four decades of retinal vessel segmentation research (1982–2025) are synthesized, spanning classical image processing, machine learning, and deep learning paradigms. A meta‐analysis of 428 studies establishes a unified taxonomy and highlights performance trends, generalization capabilities, and clinical relevance.
Avinash Bansal +6 more
wiley +1 more source
Probing Krylov complexity in scalar field theory with general temperatures
Krylov complexity characterizes the operator growth in the quantum many-body systems or quantum field theories. The existing literatures have studied the Krylov complexity in the low temperature limit in the quantum field theories.
Peng-Zhang He, Hai-Qing Zhang
doaj +1 more source

