• Corpus ID: 238253309

An Attempt to Generate Code for Symmetric Tensor Computations

@article{Shi2021AnAT,
  title={An Attempt to Generate Code for Symmetric Tensor Computations},
  author={Jessica Shi and Stephen Chou and Fredrik Kjolstad and Saman P. Amarasinghe},
  journal={ArXiv},
  year={2021},
  volume={abs/2110.00186}
}
Symmetric matrices, a frequently studied topic in linear algebra, can be extended to higher dimensions through symmetric tensors, which arise in domains such as computational physics and chemistry [5, 11]. The fundamental mathematical appeal of the study of symmetry also renders these tensors useful in contexts ranging from a rather beautiful equivalence with homogenous polynomials [3] to more concrete applications, including decompositions [9] and finding eigenvalues [8]. Knowing about a… 

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