Frontmatter

Artikel in diesem Heft

1. Frontmatter
2. Tensor Numerical Methods: Actual Theory and Recent Applications
3. A Low-Rank Inexact Newton–Krylov Method for Stochastic Eigenvalue Problems
4. A Tensor Decomposition Algorithm for Large ODEs with Conservation Laws
5. Non-intrusive Tensor Reconstruction for High-Dimensional Random PDEs
6. Quasi-Optimal Rank-Structured Approximation to Multidimensional Parabolic Problems by Cayley Transform and Chebyshev Interpolation
7. Projection Methods for Dynamical Low-Rank Approximation of High-Dimensional Problems
8. Tensor Train Spectral Method for Learning of Hidden Markov Models (HMM)
9. Tucker Tensor Analysis of Matérn Functions in Spatial Statistics
10. Low-Rank Space-Time Decoupled Isogeometric Analysis for Parabolic Problems with Varying Coefficients
11. Approximate Solution of Linear Systems with Laplace-like Operators via Cross Approximation in the Frequency Domain
12. Rayleigh Quotient Methods for Estimating Common Roots of Noisy Univariate Polynomials