Results 51 to 60 of about 12,661,880 (175)

Analysis of Eigenvalue Clustering Leads to Optimal Scaling in Numerical Radiative Transfer

Numerical Linear Algebra with Applications, Volume 33, Issue 5, October 2026.
ABSTRACT We consider a multidimensional polychromatic radiative transfer (RT) problem, accounting for scattering processes in a general form, that is, anisotropic (dipole) scattering with partial frequency redistribution. Given a discrete ordinates (SN$$ {S}_N $$) discretization, we report the corresponding matrix structures, depending on the model and
Pietro Benedusi, Simone Riva, Luca Belluzzi, Stefano Serra‐Capizzano   +3 more
wiley   +1 more source

On Some Extended Block Krylov Based Methods for Large Scale Nonsymmetric Stein Matrix Equations

Mathematics, 2017
In the present paper, we consider the large scale Stein matrix equation with a low-rank constant term A X B − X + E F T = 0 . These matrix equations appear in many applications in discrete-time control problems, filtering and image restoration ...
Abdeslem Hafid Bentbib, Khalide Jbilou, EL Mostafa Sadek   +2 more
doaj   +1 more source

Quantum Spectral Clustering Framework via Compact Circuit Structures

Advanced Quantum Technologies, Volume 9, Issue 10, October 2026.
Can a quantum computer cluster data without ever reading the full kernel? This work shows that compact, parameterized circuits estimate the Laplacian quadratic forms directly and perform clustering, without explicitly constructing the full quantum fidelity‐kernel matrix.
Hyeong‐gyu Kim, Siheon Park, June‐Koo Kevin Rhee   +2 more
wiley   +1 more source

everthemore/krylov-cpp: v1.1

, 2019
The latest version of the code.Time-evolution of a wavefunction using a Krylov subspace ...
Van Nieuwenburg, Evert
core   +1 more source

Seismic Imaging of the Crust From Long‐Offset Ocean‐Bottom Seismometer Data Using Time‐Domain Extended‐Source Full‐Waveform Inversion: Application to the Eastern Nankai Trough, Japan

Journal of Geophysical Research: Solid Earth, Volume 131, Issue 10, October 2026.
Abstract High‐resolution crustal‐scale seismic imaging from long‐offset ocean‐bottom seismometer (OBS) data using full‐waveform inversion (FWI) remains challenging because the large number of propagated wavelengths and waveform complexity make the inversion highly sensitive to time‐shift errors (cycle skipping). To mitigate this nonlinearity, we assess
Gaoshan Guo, Stéphane Operto, Jean‐Xavier Dessa   +2 more
wiley   +1 more source

Krylov complexity of supersymmetric SYK models

Journal of High Energy Physics
We study the effect of supersymmetry breaking on Krylov complexity in the N = 2 $$ \mathcal{N}=2 $$ SYK model under irrelevant and mass deformations of the Hamiltonian. The irrelevant deformation breaks N = 2 $$ \mathcal{N}=2 $$ supersymmetry down to N =
James Chryssanthacopoulos, David Vegh
doaj   +1 more source

Nonlinear Dynamic Inverse Solution of the Diffusion Problem Based on Krylov Subspace Methods with Spatiotemporal Constraints

Computer Sciences & Mathematics Forum
In this work, we propose a nonlinear dynamic inverse solution to the diffusion problem based on Krylov Subspace Methods with spatiotemporal constraints. The proposed approach is applied by considering, as a forward problem, a 1D diffusion problem with a ...
Luis Fernando Alvarez-Velasquez, Eduardo Giraldo   +1 more
doaj   +1 more source

Circulant preconditioners for mean curvature-based image deblurring problem

Journal of Algorithms & Computational Technology, 2021
The mean curvature-based image deblurring model is widely used to enhance the quality of the deblurred images. However, the discretization of the associated Euler–Lagrange equations produces a nonlinear ill-conditioned system which affects the ...
Shahbaz Ahmad, Faisal Fairag
doaj   +1 more source

Multiphysics Simulation of Positive Streamer Discharge in Air Using Finite Element Method

International Journal for Numerical Methods in Engineering, Volume 127, Issue 18, 30 September 2026.
ABSTRACT Streamer discharge modeling by means of the Finite Element Method (FEM) presents a formidable challenge in computational physics due to its nonlinear and convection‐dominated characteristics that cause numerical instabilities, including negative densities of charged particles.
Hasupama Jayasinghe, Bilen Emek Abali, Liliana Arevalo, Vernon Cooray   +3 more
wiley   +1 more source

Developing Hessian–Free Second–Order Adversarial Examples for Adversarial Training

International Journal of Applied Mathematics and Computer Science
Recent studies show that deep neural networks (DNNs) are extremely vulnerable to elaborately designed adversarial examples. Adversarial training, which uses adversarial examples as training data, has been proven to be one of the most effective methods of
Qian Yaguan, Zhang Liangjian, Wang Yuqi, Ji Boyuan, Yao Tengteng, Wang Bin   +5 more
doaj   +1 more source