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Lower bounds on the nonnegative rank using a nested polytopes formulation

Author

Listed:
  • Dewez, Julien

    (Université catholique de Louvain, LIDAM/CORE, Belgium)

  • Glineur, François

    (Université catholique de Louvain, LIDAM/CORE, Belgium)

Abstract

Computing the nonnegative rank of a nonnegative matrix has been proven to be, in general, NP-hard. However, this quantity has many interesting applications, e.g., it can be used to compute the ex- tension complexity of polytopes. Therefore researchers have been trying to approximate this quantity as closely as possible with strong lower and upper bounds. In this work, we introduce a new lower bound on the nonnegative rank based on a representation of the matrix as a pair of nested polytopes. The nonnegative rank then corresponds to the minimum num-er of vertices of any polytope nested between these two polytopes. Using the geometric concept of supporting corner, we introduce a parametrized family of computable lower bounds and present preliminary numerical results on slack matrices of regular polygons.

Suggested Citation

  • Dewez, Julien & Glineur, François, 2021. "Lower bounds on the nonnegative rank using a nested polytopes formulation," LIDAM Reprints CORE 3166, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
  • Handle: RePEc:cor:louvrp:3166
    Note: In: ESANN2020, 28th European Symposium on Artificial Neural Networks - Computational Intelligence and Machine Learning, 2020
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