Page 441 - 8th European Congress of Mathematics ∙ 20-26 June 2021 ∙ Portorož, Slovenia ∙ Book of Abstracts
P. 441
Minisymposium
MATRIX COMPUTATIONS AND NUMERICAL
(MS-47)
Organized by Stefano Pozza, Charles University, Czech Republic
Coorganized by Davide Palitta, Max Planck Institute for Dynamics of Complex Technical
Systems, Germany
• On the convergence of the Jacobi-type method for computing orthogonal tensor
decomposition, Erna Begovic´
• Inverses of k-Toeplitz matrices for resonator arrays with multiple receivers, Jose Brox
• A µ-mode-based integrator for solving evolution equations in Kronecker form,
Marco Caliari
• Random multi-block ADMM: an ALM based view for the Quadratic Programming case,
Stefano Cipolla
• A Lanczos-like algorithm for time-ordered exponentials, Pierre Louis Giscard
• Parallel Newton-Chebyshev Polynomial Preconditioners for the Conjugate Gradient
method, Ángeles Martínez
• Infinite Tensor Rings, Lana Periša
• Core reduction: Necessary and sufficient information in linear approximation problems,
Martin Plešinger
• On the numerical solution of certain linear multiterm matrix equations and applications,
Valeria Simoncini
• Riemannian thresholding methods for row-sparse and low-rank matrix recovery,
André Uschmajew
MATRIX COMPUTATIONS AND NUMERICAL
(MS-47)
Organized by Stefano Pozza, Charles University, Czech Republic
Coorganized by Davide Palitta, Max Planck Institute for Dynamics of Complex Technical
Systems, Germany
• On the convergence of the Jacobi-type method for computing orthogonal tensor
decomposition, Erna Begovic´
• Inverses of k-Toeplitz matrices for resonator arrays with multiple receivers, Jose Brox
• A µ-mode-based integrator for solving evolution equations in Kronecker form,
Marco Caliari
• Random multi-block ADMM: an ALM based view for the Quadratic Programming case,
Stefano Cipolla
• A Lanczos-like algorithm for time-ordered exponentials, Pierre Louis Giscard
• Parallel Newton-Chebyshev Polynomial Preconditioners for the Conjugate Gradient
method, Ángeles Martínez
• Infinite Tensor Rings, Lana Periša
• Core reduction: Necessary and sufficient information in linear approximation problems,
Martin Plešinger
• On the numerical solution of certain linear multiterm matrix equations and applications,
Valeria Simoncini
• Riemannian thresholding methods for row-sparse and low-rank matrix recovery,
André Uschmajew