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An ultraweak space-time variational formulation for the wave equation: Analysis and efficient numerical solution
J Henning, D Palitta, V Simoncini… - … Modelling and Numerical …, 2022 - esaim-m2an.org
We introduce an ultraweak space-time variational formulation for the wave equation, prove
its well-posedness (even in the case of minimal regularity) and optimal inf-sup stability …
its well-posedness (even in the case of minimal regularity) and optimal inf-sup stability …
A note on parallel preconditioning for the all-at-once solution of Riesz fractional diffusion equations
The $ p $-step backwards difference formula (BDF) for solving the system of ODEs can result
in a kind of all-at-once linear systems, which are solved via the parallel-in-time …
in a kind of all-at-once linear systems, which are solved via the parallel-in-time …
Subspace embedding with random Khatri-Rao products and its application to eigensolvers
Various iterative eigenvalue solvers have been developed to compute parts of the spectrum
for a large sparse matrix, including the power method, Krylov subspace methods, contour …
for a large sparse matrix, including the power method, Krylov subspace methods, contour …
A well-conditioned direct PinT algorithm for first-and second-order evolutionary equations
In this paper, we study a direct parallel-in-time (PinT) algorithm for first-and second-order
time-dependent differential equations. We use a second-order boundary value method as …
time-dependent differential equations. We use a second-order boundary value method as …
Preconditioned Low-Rank Riemannian Optimization for Symmetric Positive Definite Linear Matrix Equations
This work is concerned with the numerical solution of large-scale symmetric positive definite
matrix equations of the form $ A_1XB_1^\top+ A_2XB_2^\top+\dots+ A_\ell X B_\ell^\top= F …
matrix equations of the form $ A_1XB_1^\top+ A_2XB_2^\top+\dots+ A_\ell X B_\ell^\top= F …
Improved ParaDiag via low-rank updates and interpolation
D Kressner, S Massei, J Zhu - Numerische Mathematik, 2023 - Springer
This work is concerned with linear matrix equations that arise from the space-time
discretization of time-dependent linear partial differential equations (PDEs). Such matrix …
discretization of time-dependent linear partial differential equations (PDEs). Such matrix …
A new ParaDiag time-parallel time integration method
Time-parallel time integration has received a lot of attention in the high performance
computing community over the past two decades. Indeed, it has been shown that parallel-in …
computing community over the past two decades. Indeed, it has been shown that parallel-in …
Sketched and truncated polynomial Krylov subspace methods: Matrix Sylvester equations
Thanks to its great potential in reducing both computational cost and memory requirements,
combining sketching and Krylov subspace techniques has attracted a lot of attention in the …
combining sketching and Krylov subspace techniques has attracted a lot of attention in the …
[PDF][PDF] Sketched and truncated polynomial krylov subspace methods: Matrix equations
Thanks to its great potential in reducing both computational cost and memory requirements,
combining sketching and Krylov subspace techniques has attracted a lot of attention in the …
combining sketching and Krylov subspace techniques has attracted a lot of attention in the …
[HTML][HTML] Matrix-oriented FEM formulation for reaction-diffusion PDEs on a large class of 2D domains
M Frittelli, I Sgura - Applied Numerical Mathematics, 2024 - Elsevier
For the spatial discretization of elliptic and parabolic partial differential equations (PDEs), we
provide a Matrix-Oriented formulation of the classical Finite Element Method, called MO …
provide a Matrix-Oriented formulation of the classical Finite Element Method, called MO …