On Moment Methods in Krylov Subspaces

2020 ◽  
Vol 102 (3) ◽  
pp. 478-482
Author(s):  
V. P. Il’in
Keyword(s):  
Krylov Subspaces ◽  
Moment Methods

Moment methods for structural reliability

2001 ◽  
Vol 23 (1) ◽  
pp. 47-75 ◽  
Author(s):  
Yan-Gang Zhao ◽  
Tetsuro Ono
Keyword(s):  
Structural Reliability ◽  
Moment Methods

Krylov subspaces and the analytic grade

2005 ◽  
Vol 12 (1) ◽  
pp. 55-76 ◽  
Author(s):  
M. Ili? ◽  
I. W. Turner
Keyword(s):  
Krylov Subspaces

scholarly journals Model reduction methods based on Krylov subspaces

Acta Numerica ◽  
2003 ◽  
Vol 12 ◽  
pp. 267-319 ◽  
Author(s):  
Roland W. Freund
Keyword(s):  
Large Scale ◽  
Krylov Subspace ◽  
Circuit Simulation ◽  
Krylov Subspaces ◽  
Lanczos Algorithm ◽  
Linear Dynamical Systems ◽  
Reduced Order ◽  
Reduced Order Modelling ◽  
Reduction Methods ◽  
Modelling Techniques

In recent years, reduced-order modelling techniques based on Krylov-subspace iterations, especially the Lanczos algorithm and the Arnoldi process, have become popular tools for tackling the large-scale time-invariant linear dynamical systems that arise in the simulation of electronic circuits. This paper reviews the main ideas of reduced-order modelling techniques based on Krylov subspaces and describes some applications of reduced-order modelling in circuit simulation.

Book review: Moment methods in many-fermion systems

1982 ◽  
Vol 27 (1) ◽  
pp. 219-220
Author(s):  
George A. Baker
Keyword(s):  
Moment Methods ◽  
Fermion Systems

Reconsidering the Voltage-Gap Source Model Used in Moment Methods

2010 ◽  
Vol 52 (2) ◽  
pp. 120-125 ◽  
Author(s):  
Rob Maaskant ◽  
Michel Arts
Keyword(s):  
Source Model ◽  
Moment Methods
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