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Model Order Reduction Techniques with Preservation of Sparseness in Circuit Simulation

Authors
 Zharov M.M.
 Rusakov S.G.
Date of publication
 2014

Abstract
 The numerical algorithms of high dimensional model order reduction (MOR) are discussed. The MOR algorithm is discussed that is directed to generate low order models with saving sparse matrices. The algorithm belongs to the class of dominant pole based modal truncation techniques. The ways to increase the computational efficiency are considered. The relative advantages of applying this algorithm to multiport problems are demonstrated.
Keywords
 linear systems, transfer functions, model order reduction, eigenvalue problems, dominant poles, sparse matrices, multiport systems
Library reference
 Zharov M.M., Rusakov S.G. Model Order Reduction Techniques with Preservation of Sparseness in Circuit Simulation // Problems of Perspective Micro- and Nanoelectronic Systems Development - 2014. Proceedings / edited by A. Stempkovsky, Moscow, IPPM RAS, 2014. Part 1. P. 111-116.
URL of paper
 http://www.mes-conference.ru/data/year2014/pdf/D180.pdf

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