Research report 2018 - Max Planck Institute for Mathematics in the Sciences

Tensor decomposition

Michałek, M.; Sturmfels, B.
Max-Planck-Institut für Mathematik in den Naturwissenschaften, Leipzig
Tensors are higher-dimensional matrices. They provide an efficient way to store big data sets and to analyze them statistically. Using the decomposition into tensors of rank 1, hidden structures and correlations can be discovered. The geometry of tensors plays an important role in this research area.

For the full text, see the German version.

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