Thomas Mach

Computational Theory and Mathematics · 2012–2014

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Thomas Mach trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ivan V. Oseledets
  2. Daniel Kressner
  3. Andrew V. Knyazev
  4. Klaus Neymeyr
  5. Lars Grasedyck
  6. S. White
  7. E. E. Tyrtyshnikov
  8. Christine Tobler
  9. Jing-Rebecca Li
  10. Lieven De Lathauwer

Who trusts Thomas Mach overall

  1. Johann A. Bengua
  2. Peter Benner
  3. Ho N. Phien
  4. Jens Saak
  5. Lars Grasedyck
  6. Hoang Duong Tuan
  7. Daniel Kressner
  8. Minh N. Do

Papers from Thomas Mach's perspective

Ordered by how strongly the researchers Thomas Mach trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Tensor-Train Decomposition
  2. Preconditioned Low-Rank Methods for High-Dimensional Elliptic PDE Eigenvalue Problems
  3. f¨ur Mathematik in den Naturwissenschaften Leipzig Hierarchical Singular Value Decomposition of Tensors
  4. The Alternating Linear Scheme for Tensor Optimization in the Tensor Train Format
  5. Toward the Optimal Preconditioned Eigensolver: Locally Optimal Block Preconditioned Conjugate Gradient Method (SIAM Journal on Scientific Computing)
  6. TT-cross approximation for multidimensional arrays
  7. Low-Rank Solution of Lyapunov Equations (SIAM Review)
  8. Existence and Computation of Low Kronecker-Rank Approximations for Large Linear Systems of Tensor Product Structure
  9. Some mathematical notes on three-mode factor analysis
  10. Density matrix formulation for quantum renormalization groups.

Their papers