On the minimal algebraic complexity of the rank-one approximation problem for general inner products
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Abstract (arXiv)
We study the algebraic complexity of Euclidean distance minimization from a generic tensor to a variety of rank-one tensors. The Euclidean Distance (ED) degree of the Segre-Veronese variety counts the number of complex critical points of this optimization problem. We regard this invariant as a function of inner products. We prove that Frobenius inner product is a local minimum of the ED degree, and conjecture that it is a global minimum. We prove our conjecture in the case of matrices and symmetric binary and 3× 3× 3 tensors. We discuss the above optimization problem for other algebraic varieties, classifying all possible values of the ED degree. Our approach combines tools from Singularity Theory, Morse Theory, and Algebraic Geometry.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 26 Sep 2023.
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Citing papers per year: 2024: 2; 2025: 1.
3 papers.
- 2024On the Geometry and Optimization of Polynomial Convolutional Networkscited by 11
- 2024Algebraic Complexity and Neurovariety of Linear Convolutional Networkscited by 10
- 2025A Framework for Reducing the Complexity of Geometric Vision Problems and its Application to Two-View Triangulation with Approximation Boundscited by 0
- 2025A Framework for Reducing the Complexity of Geometric Vision Problems and its Application to Two-View Triangulation with Approximation Bounds11 Mar 2025
- 2024On the Geometry and Optimization of Polynomial Convolutional Networks1 Oct 2024
- 2024Algebraic Complexity and Neurovariety of Linear Convolutional Networks29 Jan 2024