Spatial regression models are developed as a complementary alternative to second-order polynomial response surfaces in the context of process optimization. These models provide estimates of design ...
We introduce a finite element method for numerical upscaling of second order elliptic equations with highly heterogeneous coefficients. The method is based on a mixed formulation of the problem and ...
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Specialized hardware solves high-order optimization problems with in-memory computing
The rise of AI, graphic processing, combinatorial optimization and other data-intensive applications has resulted in ...
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