Results 111 to 120 of about 78,319 (219)

Preconditioning Techniques in Krylov Subspace Methods

This study discusses preconditioning approaches to address large, sparse linear systems as well as Krylov subspace methods. Among others, computational fluid dynamics, structural analysis, and electromagnetic simulations use Krylov methods like the ...
Najm, Zina Jabbar
core   +1 more source

High-order Krylov-Newton and

, 2007
Keywords: secant methods, Krylov subspace methods, nonlinear equations, Newton's method, Broydcn's method AMS(MOS) subject classification: 3504, 35Q35, 35M10 ...
Fast Krylov-Secant Methods, Hector Klie, Marcelo Raml, Marcelo Rame, Hictor Kle, F. Wheeler, Mary Wheeler, Mary   +7 more
core  

Structural Response Evaluation of Krylov Subspace-Based Reduced-Order Model for Real-Time Structural Health Monitoring and Prediction of Container Ships

한국해양공학회지
Recently, digital transformation has become crucial for the safe operation and extended lifespan of ships and offshore structures. Structural health management is gaining importance and driving interest in digital twin technology for monitoring ...
Kichan Sim, Byoung Wan Kim, Jeong Sam Han, Kangsu Lee   +3 more
doaj   +1 more source

GPU-based multi-group discrete ordinates transport calculations: Parallel computing implementation in STRAUM

Nuclear Engineering and Technology
Discrete ordinates (SN) method with unstructured meshes is highly appropriate for high-fidelity modeling and simulation of radiation shielding problems with complicated geometries.
Ao Zhang, Ser Gi Hong, Seungil Jeong, Jingen Chen   +3 more
doaj   +1 more source

Krylov subspace techniques for rational integrators

, 2011
Implementation of exponential integrators is usually based on Krylov subspace methods, with control of generalized residuals. We consider the case where rational analogues are used for the matrix exponential and the phi- or related functions, e.g.
Auzinger, Winfried
core   +1 more source

On the generation of Krylov subspace bases

, 2009
Many problems in scientific computing involving a large sparse matrix A are solved by Krylov subspace methods. This includes methods for the solution of large linear systems of equations with A, for the computation of a few eigenvalues and associated ...
Philippe, Bernard, Reichel, Lothar
core   +2 more sources

Information Retrieval Using Krylov Subspace Methods

, 2004
In this dissertation we discuss how simple Krylov subspace methods can be used for information retrieval (IR). The dissertation consists of two parts.
Blom, Katarina
core  

Practical issues of model order reduction with Krylov-subspace methods [PDF]

, 2004
Model Order Reduction plays an increasingly important role in electronic simulations. The actual implementation of the methods however, leads to many practical problems.
Wil Schilders, Schilders, W.H.A., Pieter Heres, Heres, P.J.   +3 more
core  

Deterministic sketching for Krylov subspace methods

CoRR
Randomized sketching is currently introduced into every area of numerical linear algebra. In Krylov subspace methods, it allows runtime savings at the cost of small accuracy reductions. This work offers a different view on sketching in Krylov methods by analyzing what subspace embeddings are obtained by arbitrary sketching matrices.
openaire   +3 more sources

Krylov subspace methods for computing hydrodynamic interactions in brownian dynamics simulations. [PDF]

J Chem Phys, 2012
Ando T, Chow E, Saad Y, Skolnick J.
europepmc   +1 more source