Due Giorni di Algebra Lineare Numerica e Applicazioni

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Morning Session II

Morning Session III

Morning Session IV

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A Deep-QLP Decomposition Algorithm and Applications (in session "Morning Session IV")

An Augmented Lagrangian preconditioner for the control of the Navier--Stokes equations (in session "Morning Session I")

Anti-Gauss cubature rules with applications to Fredholm integral equations on the square (in session "Poster Session")

Approximation properties of neural ODEs (in session "Poster Session")

Blocking structures, approximation, and preconditioning (in session "Morning Session II")

Cross-eyed preconditioning for normal equations arising from PDEs (in session "Morning Session II")

DeepONet-based approximation of inverse operators: A data-driven approach to address the low-frequency part of the eigenspectrum (in session "Afternoon Session II")

DEIM-based hyper-reduction of metriplectic systems (in session "Poster Session")

Efficient Regularization and Numerical Reconstruction Methods for Inverse Source Problems in Generalized Diffusion Equation (in session "Afternoon Session II")

Eigenvalues and singular values of variable Toeplitz matrices and matrix-sequences, with application to variable two-step BDF approximations to parabolic equations (in session "Morning Session II")

Estimation of spectral gaps for sparse symmetric matrices (in session "Morning Session I")

Explicit Characterization of Consensus in a Distributed Estimation Problem on Chain Graphs (in session "Morning Session III")

Extracting accurate singular values from approximate subspaces (in session "Morning Session IV")

Fractional Laplacian and ADMM for glyph extraction (in session "Afternoon Session II")

Generalized approximating class of sequences and asymptotic block structures with rectangular Toeplitz blocks. (in session "Morning Session III")

Geometric means of more than two matrix sequences in the case of hidden (asymptotic) structures (in session "Poster Session")

Higher Order Data Completion for Undersampled Raster Scans in Spectromicroscopy (in session "Poster Session")

Inexact alternating projection methods with application to matrix completion (in session "Afternoon Session I")

Iterated $\ell^2-\ell^q$ regularization (in session "Poster Session")

Lanczos with compression for symmetric eigenvalue problems (in session "Poster Session")

Lanczos with compression for symmetric Lyapunov equations (in session "Poster Session")

Lanczos with compression for symmetric matrix functions (in session "Morning Session I")

Linear FDEM data inversion via Landweber interations in Banach spaces (in session "Poster Session")

Matrix-oriented discretisations of phase-field and high-order diffusion problems (in session "Morning Session II")

Minimum-norm solutions of the non-symmetric semidefinite Procrustes problem (in session "Poster Session")

Mittag-Leffler Communicability Distance and shortest geodesics on networks (in session "Poster Session")

Modelling advection on distance-weighted directed networks (in session "Morning Session III")

On generating Sobolev orthonormal rational functions (in session "Morning Session I")

On the highly entrywise accurate methods for solution of multilinear PageRank problem (in session "Poster Session")

On the ideality of real-world datasets for photometric stereo under unknown lights position (in session "Afternoon Session II")

On the time-frequency representation of nonstationary signals (in session "Poster Session")

Preconditioned Low-Rank Riemannian Optimization for Symmetric Positive Definite Linear Matrix Equations (in session "Afternoon Session I")

Preconditioning Strategies for Generalized Krylov Subspace Methods for $\ell_p-\ell_q$ Minimization (in session "Morning Session I")

Provably convergent, extrapolated algorithms for Nonlinear Matrix Decomposition problems (in session "Afternoon Session II")

PSCToolkit: Bringing Linear Algebra to the Exascale (in session "Poster Session")

Quadratic projectable Runge--Kutta methods (in session "Poster Session")

Randomized Gauss-Newton methods for large scale nonlinear least-squares (in session "Morning Session IV")

Randomized Schatten norm estimation (in session "Poster Session")

Randomized sketched TT-GMRES for linear systems with tensor structure (in session "Poster Session")

RandONets: Shallow networks with random projections for learning nonlinear operators (in session "Afternoon Session II")

Revisiting the notion of approximating class of sequences for handling approximated PDEs on moving or unbounded domains (in session "Poster Session")

Riemann-Oracle: a general-purpose Riemannian optimizer to solve nearness problems in matrix theory (in session "Afternoon Session I")

Row-aware Randomized SVD with applications (in session "Morning Session IV")

Scalable approximation and solvers for ionic electrodiffusion in cellular geometries (in session "Morning Session II")

SCALAR POLYNOMIAL ZERO BOUNDS FROM MATRIX POLYNOMIALS (in session "Poster Session")

SVD-based Line Integral Methods for preserving multiple invariants of Hamiltonian problems (in session "Morning Session III")

Tensor-Oriented LSQR for Tensor Least Squares Problems (in session "Afternoon Session I")

The Joint Spectral Radius of Neural Networks (in session "Poster Session")

The Perron-Frobenius theory for matrix semigroups: a geometrical approach (in session "Morning Session IV")

Tree Tensor Network Nyström (in session "Afternoon Session I")

Walk-induced strategies for updating Katz centrality in simple graphs (in session "Morning Session III")

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20/01/2025

21/01/2025

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