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SIAMSC
2010
159views more  SIAMSC 2010»
14 years 8 months ago
Parameter and State Model Reduction for Large-Scale Statistical Inverse Problems
A greedy algorithm for the construction of a reduced model with reduction in both parameter and state is developed for efficient solution of statistical inverse problems governed b...
Chad Lieberman, Karen Willcox, Omar Ghattas
89
Voted
PARA
2004
Springer
15 years 3 months ago
A Model-Order Reduction Technique for Low Rank Rational Perturbations of Linear Eigenproblems
Large and sparse rational eigenproblems where the rational term is of low rank k arise in vibrations of fluid–solid structures and of plates with elastically attached loads. Exp...
Frank Blömeling, Heinrich Voss
SCL
2008
105views more  SCL 2008»
14 years 9 months ago
Computation of nonlinear balanced realization and model reduction based on Taylor series expansion
In this paper a computational algorithm for nonlinear balanced realization and model reduction based on Taylor series expansion is proposed. This algorithm requires recursive comp...
Kenji Fujimoto, Daisuke Tsubakino
DAC
2002
ACM
15 years 10 months ago
Model order reduction for strictly passive and causal distributed systems
This paper presents a class of algorithms suitable for model reduction of distributed systems. Distributed systems are not suitable for treatment by standard model-reduction algor...
Luca Daniel, Joel R. Phillips
ICCAD
2006
IEEE
165views Hardware» more  ICCAD 2006»
15 years 6 months ago
A fast block structure preserving model order reduction for inverse inductance circuits
Most existing RCL−1 circuit reductions stamp inverse inductance L−1 elements by a second-order nodal analysis (NA). The NA formulation uses nodal voltage variables and describ...
Hao Yu, Yiyu Shi, Lei He, David Smart