Abstract: Solving partial differential equations (PDEs) is omnipresent in scientific research and engineering and requires expensive numerical iteration for memory and computation. The primary ...
Abstract: Over the past few decades, risk-averse optimization has emerged as a crucial framework for decision-making under uncertainty in systems governed by partial differential equations (PDEs).
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