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Computer Science and Mathematics

Events

  • Hybrid Projection Methods with Recycling for Large-scale Inverse Problems
  • Next-Level Performance Analysis using PAPI’s Software-Defined Events.
  • Robust learning with implicit residual networks
  • Solution verification and multifidelity UQ in chaotic and stochastic systems
  • Globally Injective Deep Neural Networks
  • A proof that Anderson acceleration increases the convergence rate in linearly converging fixed point methods (but not in quadratically converging ones)
  • Solution Costs of Isogeometric Analysis
  • Connecting Theory to Experiment for Chemical Mechanisms and Chemical Kinetics. Release of the newly developed CheKiPEUQ software for Bayesian Parameter Estimation
  • Scalable Low Rank Approximation and Graph Algorithms
  • Symbolic code generation for solving PDEs on block structured adaptive mesh refinement hierarchies with applications to black hole mergers

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