Proceedings. 16th IEEE VLSI Test Symposium (Cat. No.98TB100231)
DOI: 10.1109/vtest.1998.670859
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Nonlinear analog DC fault simulation by one-step relaxation

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Cited by 15 publications
(12 citation statements)
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“…The work of [11] presents an example of fault simulation in nonlinear circuits when DC point of the faulty and fault-free circuits are equal. A relaxation technique for fast calculating DC point of nonlinear faulty circuits is discussed in [12]. Examples of fast fault simulators for transient analysis in linear circuits are DRAFTS and FLYER [13] [14].…”
Section: Previous Workmentioning
confidence: 99%
“…The work of [11] presents an example of fault simulation in nonlinear circuits when DC point of the faulty and fault-free circuits are equal. A relaxation technique for fast calculating DC point of nonlinear faulty circuits is discussed in [12]. Examples of fast fault simulators for transient analysis in linear circuits are DRAFTS and FLYER [13] [14].…”
Section: Previous Workmentioning
confidence: 99%
“…Fault ordering for ease of fault simulation was first proposed by Voorakaranam, Gomes and Chatterjee in [25]. Its use in numerical algorithms for fault simulation was demonstrated by Hou and Chatterjee in [26][27][28] and also used by Tian and Shi in [24]. We first describe the simulation procedure using fault ordering described in [26][27][28].…”
Section: Fault Simulation Based On Partial Numerical Convergencementioning
confidence: 99%
“…This is useful for computing the best stimuli and only one accurate simulation is needed as a post-processing step to calibrate the test procedure after the test is designed. A restricted precedent of the partial numerical circuit solution procedure proposed in this paper, called one-step relaxation has been used for DC fault simulation [24]. However, to the best of our knowledge, this has not been applied to the problem of test generation before.…”
Section: Introductionmentioning
confidence: 99%
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“…In the proposed approach, instead of generating a new updated model from scratch, we adopt the matrix inversion formula of Sherman and Morrison as well as the inversion formula of block matrices to efficiently compute the updated Krylov projection subspace [2]. In the past, the Sherman and Morrison inversion formula has been used in [10] for DC fault simulation and in [4] for considering driver resistance variations in interconnect analysis. The dominant computational cost of our approach is due to solving a linear system with M unknowns, where M is equal to the number of circuit nodes if multiple links are inserted or the size of the (small) linear network to be merged.…”
Section: Introductionmentioning
confidence: 99%