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Using constraint preconditioners with regularized saddle-point problems.

, , , and . Comp. Opt. and Appl., 36 (2-3): 249-270 (2007)

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Predicting the topology of dynamic neural networks for the simulation of electronic circuits.. Neurocomputing, 73 (1-3): 127-132 (2009)On passivity of the super node algorithm for EM modeling of interconnect systems., and . DATE, page 471-476. IEEE, (2010)Proper Initial Solution to Start Periodic Steady-State-Based Methods., , and . IEEE Trans. on Circuits and Systems, 66-I (3): 1104-1115 (2019)Parametric structure-preserving model order reduction., , and . VLSI-SoC, page 31-36. IEEE, (2007)Implicit-Factorization Preconditioning and Iterative Solvers for Regularized Saddle-Point Systems., , , and . SIAM J. Matrix Analysis Applications, 28 (1): 170-189 (2006)Using constraint preconditioners with regularized saddle-point problems., , , and . Comp. Opt. and Appl., 36 (2-3): 249-270 (2007)A Novel Krylov Method for Model Order Reduction of Quadratic Bilinear Systems., , , and . CDC, page 3217-3222. IEEE, (2018)Index-Aware Model Order Reduction for Linear Index-2 DAEs with Constant Coefficients., , , and . SIAM J. Scientific Computing, (2013)Efficient Methods for Large Resistor Networks., and . IEEE Trans. on CAD of Integrated Circuits and Systems, 29 (1): 28-39 (2010)SparseRC: Sparsity Preserving Model Reduction for RC Circuits With Many Terminals., , and . IEEE Trans. on CAD of Integrated Circuits and Systems, 30 (12): 1828-1841 (2011)