Program

The Conference Opening will be on Sunday, May 26, in the evening.

The Social Dinner will be on Monday night.

The timetable can be downloaded from this link.

A compact version of the conference program can be downloaded from this link.

The book of abstracts can be downloaded from this link.

List of Abstracts

Plenary Speakers

1. M. Benzi, Iterative solution techniques for the coupled Stokes--Darcy problem
2. D. A. Bini, On matrix equations associated with random walks in the quarter plane
3. F. Brezzi, The virtual element methods. An overview
4. M. Donatelli, Multigrid preconditioners for space-fractional diffusion equations
5. A. Frommer, Analysis of block Krylov subspace methods relying on general block inner products
6. M. J. Gander, Seven things I would have liked to know when starting to work on domain decomposition
7. S. Kindermann, Heuristic parameter choice rules in inverse problems
8. V. Mehrmann, Numerical analysis of finite element systems modeling elastic stents
9. S. Morigi, Sparsity-inducing non-convex non-separable regularization for convex image processing
10. F. Sgallari, Space-variant regularization for image restoration problems
11. D. B. Szyld, Asynchronous optimized Schwarz methods for the solution of PDEs on bounded domains
12. R. Vandebril, QRylov

1. Matrix Equations: Analysis and Algorithms

1. P. Benner, On the solution of the nonsymmetric T-Riccati equation
2. F. De Terán, Uniqueness of solution of generalized Sylvester-like equations with rectangular coefficients
3. B. Iannazzo, Schur algorithms for matrix equations
4. D. Kressner, Low-rank updates and divide-and-conquer methods for matrix equations
5. M. Mazza, Rank structure based solvers for 2D fractional diffusion equations
6. B. Meini, Matrix equations in Markov modulated Brownian motion: theoretical properties and numerical solution

2. Minisymposium on Matrix Functions

1. B. Beckermann, Low-rank updates of matrix functions
2. M. Helm, The Fréchet derivative of rational approximations to the matrix exponential and its application on inverse parabolic problems
3. M. Popolizio, On the numerical approximation of the matrix Mittag-Leffler function with applications to fractional calculus
4. M. Redivo-Zaglia, Computation of matrix functions by Shanks' transformations
5. C. Schimmel, Approximation of the trace of matrix functions based on decay bounds

3. Iterative Methods for Well and Ill Posed Problems

1. F. Benvenuto, Predictive risk minimization for the expectation maximization algorithm with Poisson data
2. E. de Sturler, Truncation and recycling for iterative hybrid projection methods
3. B. Morini, Inexact restoration with subsampled trust-region methods for finite-sum minimization
4. R. Ramlau, Efficient minimization of Tikhonov functionals with a sparsity constraint
5. M. Sabaté Landman, Flexible GMRES for total variation regularization
6. S. Serra-Capizzano, The GLT class as a generalized Fourier analysis and applications

4. Orthogonal Polynomials and Their Applications in Krylov Space Methods, Interpolation, and Quadrature

1. A. Bultheel, Orthogonal polynomials with a skew-Hermitian differentiation matrix
2. W. Gautschi, Gaussian quadrature rules -- made accessible
3. C. Glader, Finite Blaschke products in Nevanlinna-Pick interpolation
4. M. H. Gutknecht, The Lanczos algorithms, CG, QD, and a whole circle of ideas
5. S. E. Notaris, Anti-Gaussian quadrature formulae based on the zeros of Stieltjes polynomials
6. W. Van Assche, Simultaneous Gauss quadrature

5. Modern Regularization of Inverse Problems: Theory and Application

1. S. Gazzola, Adaptive regularization parameter choice rules for large-scale problems
2. D. Gerth, First steps towards the numerical quantification of source conditions
3. T. Mach, Adaptive cross approximation for ill-posed problems
4. S. V. Pereverzyev, Balancing principle in supervised learning for a general regularization scheme
5. R. Plato, Periodic autoconvolution: properties and regularization
6. D. Wachsmuth, Tikhonov and Bregman regularization of optimal control problems

6. Krylov Subspace Methods and Their Applications

1. D. Camps, Approximate inverse-free rational Krylov methods and the link with FOM and GMRES
2. H. Faßbender, On the efficient solution of $T$-even polynomial eigenvalue problems
3. L. Robol, Solving quadratic matrix equations with infinite size coefficients
4. V. Simoncini, A GMRES convergence analysis for localized invariant subspace ill-conditioning
5. N. Van Buggenhout, Biorthogonal rational Krylov subspace methods

7. Gauss-type Quadrature Rules: Theory and Applications

1. M. C. De Bonis, A quadrature method for Cauchy singular integral equations with additional fixed singularities of Mellin type
2. K. Deckers, Gauss-Kronrod quadrature formulae based on the zeros of Chebyshev orthogonal rational functions
3. C. Jagels, Construction of Radau and Lobatto rules from orthogonal Laurent polynomials
4. R. Orive, Cubature formulas for Gaussian weights. Old and new
5. S. Pozza, Gauss quadrature for linear functionals and Lanczos algorithm

8. New Trends in Applied Mathematics: a Tribute to Sebastiano Seatzu

1. C. Brezinski, Our work on regularization
2. C. Estatico, Regularization in Banach spaces for inverse scattering medical imaging
3. L. Fermo, Six years of research with Sebastiano
4. A. Quarteroni, Numerical models for earthquake ground motion
5. L. Reichel, Anti-Gauss-type quadrature rules
6. C. Seatzu, Partial observation in discrete event systems

9. Contributed Talks

1. F. Arrigo, Non-backtracking PageRank
2. H. B. Bingham, Interpretation of transformed quantities of potential fields: the case of linear/nonlinear inversion
3. A. Buccini, Parameter selection rules for $\ell ^p-\ell ^q$ regularization
4. K. Burrage, Generation of representative fibrotic patternings in the atria using Perlin noise
5. A. Concas, On bipartization of networks
6. O. De la Cruz Cabrera, Compact manifold regression with Sobolev regularization
7. P. Díaz de Alba, A numerical method to solve integral equations by Gauss and anti-Gauss quadrature formulae
8. D. di Serafino, Subspace accelerated split Bregman methods for constrained fused lasso problems with applications in portfolio optimization
9. J. Erhel, Optimization problems in geochemistry
10. D. Fasino, Ergodicity coefficients for second-order Markov chains
11. C. Fenu, On the identification of the regularization parameter in ill-posed problems
12. R. Jiwari, A numerical algorithm for approximation and analysis of Burgers'-Fisher equation
13. M. Kuian, Optimally conditioned Vandermonde-like matrices
14. D. Lera, Solving global optimization problems by Peano space-filling curves
15. N. Mastronardi, The computation of the Jordan structure of totally nonnegative matrices to high relative accuracy
16. M. Mitrouli, On the estimation of the tuning parameter in regularized linear regression models
17. F. Pes, A comparison of regularization methods for solving nonlinear problems
18. G. Rodriguez, Photometric stereo under unknown lights position
19. A. Salam, Breakdowns and near breakdowns in symplectic reductions of a matrix to upper $J$-Hessenberg form
20. D. S. Watkins, Core-chasing algorithms for the eigenvalue problem
21. J. R. Winkler, Blind image deconvolution using a non-separable point spread function