Oblique Projection Methods for Large Scale Model Reduction
SIAM Journal on Matrix Analysis and Applications
ICCAD '97 Proceedings of the 1997 IEEE/ACM international conference on Computer-aided design
DAC '98 Proceedings of the 35th annual Design Automation Conference
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Proceedings of the 36th annual ACM/IEEE Design Automation Conference
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ICCAD '99 Proceedings of the 1999 IEEE/ACM international conference on Computer-aided design
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IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Guaranteed passive balancing transformations for model order reduction
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
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Proceedings of the 2004 IEEE/ACM International conference on Computer-aided design
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An efficient method for terminal reduction of interconnect circuits considering delay variations
ICCAD '05 Proceedings of the 2005 IEEE/ACM International conference on Computer-aided design
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ETBR: extended truncated balanced realization method for on-chip power grid network analysis
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Guaranteed stable projection-based model reduction for indefinite and unstable linear systems
Proceedings of the 2008 IEEE/ACM International Conference on Computer-Aided Design
Proceedings of the 2009 Asia and South Pacific Design Automation Conference
Proceedings of the 2009 Asia and South Pacific Design Automation Conference
Statistical analysis of large on-chip power grid networks by variational reduction scheme
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Efficient model reduction of interconnects via double gramians approximation
Proceedings of the 2010 Asia and South Pacific Design Automation Conference
Manifold construction and parameterization for nonlinear manifold-based model reduction
Proceedings of the 2010 Asia and South Pacific Design Automation Conference
Fast waveform estimation (FWE) for timing analysis
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
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This paper presents a model reduction algorithm motivated by a connection between frequency domain projection methods and approximation of truncated balanced realizations. The method produces guaranteed passive models, has near-optimal error properties, is computationally simple to implement, contains error estimators, and can incorporate frequency weighting information in a straightforward manner. Examples are shown to prove that the method can outperform the standard order reduction techniques by providing similar accuracy with lower models or superior accuracy for the same size model.