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, high-performance scientific computing, tensor methods, and scalable algorithms. Optimization: continuous and discrete optimization, computational optimization, inverse problems, and optimization methods
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. Numerical analysis and scientific computing: numerical methods, computational linear algebra, high-performance scientific computing, tensor methods, and scalable algorithms. Optimization: continuous and
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computer science, especially algorithms and computational complexity. Applied mathematics: computational mathematics, statistics and data science, physical mathematics, mathematical and computational biology
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