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Low Precision Preconditioning for Iterated Tikhonov Regularization
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Constrained Directed Graph Clustering through Differential Equations
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Can Students Step Up Their Mathematical Learning through Movement? A Course Evaluation for Move Your Math
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Reducing Operator Complexity in Algebraic Multigrid with Machine Learning Approaches
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Semiparametric Efficient Designs with Staggered Rollouts
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Efficient Training of Input Convex Neural Networks Using Variable Projection
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An Analysis of Sampling Methods and Uncertainty Propagation for Shallow Water Modeling
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On Pisier type problems
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Low-Rank Exploiting Optimization Methods for Inverse Problems and Machine Learning
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Modeling the COVID-19 Pandemic: A Model-Driven and a Data-Driven Analyses
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