Birs- 23w5108: Perspectives on Matrix Computations: Theoretical Computer Science Meets Numerical Analysis

  1. Title:
    Randomization / RMT in NLA (Tutorial talk)

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  2. Title:
    The $\star$-product approach for linear ODEs

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  3. Title:
    A nested divide-and-conquer for tensor Sylvester equations with hierarchically semiseparable coefficients

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    Worst-case complexity of (structured) linear systems

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  5. Title:
    Computational complexity of decomposing a symmetric matrix as a sum of positive semidefinite and diagonal matrices

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  6. Title:
    Some New Results on the Growth Factor in Gaussian Elimination

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  7. Title:
    Condition numbers (Tutorial talk)

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  8. Title:
    Numerical stability in NLA (Tutorial talk)

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  9. Title:
    Trigonometric rational functions and signal reconstruction

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  10. Title:
    Global convergence of the Hessenberg QR algorithm

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  11. Title:
    Laplacian solvers

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  12. Title:
    RMT, NLA, AND MML

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  13. Title:
    What can random matrices tell us about algorithms?

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  14. Title:
    Software for NLA (Tutorial talk)

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  15. Title:
    Sketching in NLA (Tutorial talk)

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  16. Title:
    Putting Randomness into LAPACK and Next Generation RandNLA Theory (Tutorial talk)

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  17. Title:
    Communication and NLA (Tutorial talk)

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  18. Title:
    Stochastic trace estimation and quantum typicality: a case study in interdisciplinary research

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  19. Title:
    Randomized low-rank approximation of monotone matrix functions

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  20. Title:
    Optimal and Near Optimal Krylov Space Approximations to $f(A)b$

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