Conservative Surrogate Modeling of Crosstalk with Application to Uncertainty Quantification
Author:
Affiliation:
1. Politecnico di Torino,EMC Group,Department of Electronics and Telecommunications,Torino,Italy,10129
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10145490/10145514/10145575.pdf?arnumber=10145575
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1. Sparse Linear Regression (SPLINER) Approach for Efficient Multidimensional Uncertainty Quantification of High-Speed Circuits
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3. Statistical crosstalk analysis via prob-abilistic machine learning surrogates;manfredi;Proc IEEE Conf Electr Performance Electron Packag Syst,0
4. POLYNOMIAL-CHAOS-BASED KRIGING
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