Berkant Savas
Computational Mathematics · 2009–2013
A researcher in the Science corpus: 4 papers; trusts 30 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Computational Mathematics — 44 citations into it; #68 of 612 by trust here, #133 by citations
- Computational Theory and Mathematics — 25 citations into it; #2,748 of 12,182 by trust here, #4,850 by citations
- Signal Processing — 21 citations into it
- Numerical Methods & Scientific Computing — 16 citations into it
- Computational Mechanics — 15 citations into it
- Artificial Intelligence — 12 citations into it
- Atomic and Molecular Physics, and Optics — 8 citations into it
- Optimization & Training — 8 citations into it
Whom Berkant Savas trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Lieven De Lathauwer
- Gene H. Golub
- B. De Moor
- Tamara G. Kolda
- Brett W. Bader
- G. Stewart
- Boris N. Khoromskij
- Lars Eldén
- Joos Vandewalle
- Ivan V. Oseledets
Who trusts Berkant Savas overall
- Mariya Ishteva
- Venera Khoromskaia
- Charalampos E. Tsourakakis
- Pierre-Antoine Absil
- Nick Vannieuwenhoven
- Tamara G. Kolda
- O. Curtef
- Lars Grasedyck
- Hans De Sterck
- Raf Vandebril
Papers from Berkant Savas's perspective
Ordered by how strongly the researchers Berkant Savas trusts endorse each paper. Same corpus, a different order for every researcher.
- A Multilinear Singular Value Decomposition
- Signal Processing based on Multilinear Algebra
- Matrix Computations
- Tensor Rank and the Ill-Posedness of the Best Low-Rank Approximation Problem
- Some mathematical notes on three-mode factor analysis
- Multilinear subspace analysis of image ensembles
- f¨ur Mathematik in den Naturwissenschaften Leipzig Low Rank Tucker-Type Tensor Approximation to Classical Potentials
- Symmetric Tensors and Symmetric Tensor Rank (SIAM Journal on Matrix Analysis and Applications)
- The Geometry of Algorithms with Orthogonality Constraints
- Tucker Dimensionality Reduction of Three-Dimensional Arrays in Linear Time
Their papers
- Quasi-Newton Methods on Grassmannians and Multilinear Approximations of Tensors (2009) — 137 citations
- Krylov-Type Methods for Tensor Computations (2010) — 29 citations
- Krylov-type methods for tensor computations I (2013) — 12 citations
- A Newton-Grassmann Method for Computing the Best Multilinear Rank-(r1, r2, r3) Approximation of a Tensor (2009) — 163 citations