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CDC
2009
IEEE
161views Control Systems» more  CDC 2009»
15 years 2 months ago
Network structure preserving model reduction with weak a priori structural information
— This paper extends a state projection method for structure preserving model reduction to situations where only a weaker notion of system structure is available. This weaker not...
Enoch Yeung, Jorge M. Goncalves, Henrik Sandberg, ...
SIGSAND
2008
14 years 11 months ago
Advanced Reduction Rules for the Verification of EPC Business Process Models
: Conceptual business process models such as Event-driven Process Chains (EPCs) play an important role in the business process management life cycle. The problem in this context is...
Jan Mendling, Wil M. P. van der Aalst
DAC
1999
ACM
15 years 2 months ago
ENOR: Model Order Reduction of RLC Circuits Using Nodal Equations for Efficient Factorization
ENOR is an innovative way to produce provablypassive, reciprocal, and compact representations of RLC circuits. Beginning with the nodal equations, ENOR formulates recurrence relat...
Bernard N. Sheehan
ASPDAC
2007
ACM
116views Hardware» more  ASPDAC 2007»
15 years 1 months ago
Frequency Selective Model Order Reduction via Spectral Zero Projection
As process technology continues to scale into the nanoscale regime, interconnect plays an ever increasing role in determining VLSI system performance. As the complexity of these sy...
Mehboob Alam, Arthur Nieuwoudt, Yehia Massoud
WSC
2007
15 years 3 days ago
Feasibility study of variance reduction in the logistics composite model
The Logistics Composite Model (LCOM) is a stochastic, discrete-event simulation that relies on probabilities and random number generators to model scenarios in a maintenance unit ...
George P. Cole III, Alan W. Johnson, J. O. Miller