Use of tensor formats in elliptic eigenvalue problems
By Wolfgang Hackbusch, Boris N. Khoromskij, Stefan A. Sauter, E. E. Tyrtyshnikov. 2012
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Boris N. Khoromskij
- Christine Tobler
- Ivan V. Oseledets
- Daniel Kressner
- Vladimir A. Kazeev
- Dmitry V. Savostyanov
- Sergey V. Dolgov
- Heinz-Jürgen Flad
Citations in the corpus
- A literature survey of low‐rank tensor approximation techniques (2013, neutral): “…• the (shift-and-invert) power method combined with CP [26,27]; • the (shift-and-invert) power and Lanczos methods combined with CP and Tucker [11,114]; • a restarted Lanczos method combined with TT [126]; • conjugate gradient type-methods for symmetric eigenvalue problems combined with…”
- QTT approximation of elliptic solution operators in higher dimensions (2011, methodology): “The numerical algorithms are based on the idea of truncated preconditioned iteration [15, 19, 21] via the TT-approximation method [30, 36], combined with the quantics reshaping of arising multidimensional arrays [21, 32, 33].”
- Adaptive low rank wavelet methods and applications to two-electron Schrödinger equations (2012, background): “, in [101, 5, 96, 140], and for eigenvalue problems in [92, 6, 74, 102, 95, 140].”
- Numerical Solution of the Hartree - Fock Equation in Multilevel Tensor-Structured Format (2011, background): “1 Introduction In the recent years the concept of tensor-structured numerical methods has opened new perspectives for solving the basic equations of mathematical physics in R, d ≥ 3, in particular, the many-particle Schrödinger equation [1, 11, 2, 27], and multidimensional elliptic spectral problems”
- Quantized-TT-Cayley transform to compute dynamics and spectrum of high-dimensional Hamiltonians (2011, methodology): “Max-Planck-Institut für Mathematik in den Naturwissenschaften Leipzig Quantized-TT-Cayley transform to compute dynamics and spectrum of high-dimensional Hamiltonians (revised version: September 2011) by Ivan P. Gavrilyuk, and Boris N. Khoromskij Preprint no.”
- Cross approximation in tensor electron density computations (2010, methodology): “Finally, we suggest to solve spectral problems in the Tucker format (preliminary experiments are provided in [32]) and construct solver for Hartree–Fock/Kohn–Sham model with the Tucker representation of electron density.”
- Proper generalized decomposition for nonlinear convex problems in tensor Banach spaces (2011, unknown): “A first family of numerical methods based on classical constructions of tensor approximations [18,24,35] have been recently investigated for the solution of highdimensional partial differential equations [3,19,21,22,28].”
- Alternating Minimal Energy Methods for Linear Systems in Higher Dimensions (2013, unknown): “, algorithms for the solution of linear systems [51, 21, 47, 38, 34, 31, 39, 2, 8, 4, 3], partial eigenproblems [41, 40, 24, 20], and Fourier transform [11].”
- Preconditioned Low-Rank Methods for High-Dimensional Elliptic PDE Eigenvalue Problems (2011, background): “A number of recent, more mathematically oriented papers illustrate how these ideas can be adapted and transferred to other applications [3, 10, 12, 13, 14, 27].”
- Krylov Subspace Methods for Linear Systems with Tensor Product Structure (2010, methodology): “For example, they could be used in a preconditioned inverse iteration for high-dimensional PDE eigenvalue problems [13].”
- Low-rank tensor methods for linear systems and eigenvalue problems (2012, background): “A number of recent, more mathematically oriented papers illustrate how these ideas can be adapted and transferred to other applications [18, 31, 35, 34, 36, 63].”
- Tensors-structured Numerical Methods in Scientific Computing: Survey on Recent Advances (2012, background): “The preconditioner B = BM can be chosen as inverse of the shifted Laplacian (see [37, 54] for more details).”