Monte-carlo driven stochastic optimization framework for handling fabrication variability


Increasing effects of fabrication variability have inspired a growing interest in statistical techniques for design optimization. In this work, we propose a Monte-Carlo driven stochastic optimization framework that does not rely on the distribution of the varying parameters (unlike most other existing techniques). Stochastic techniques like Successive… (More)
DOI: 10.1145/1326073.1326096


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