tensorEVD
A Fast Algorithm to Factorize High-Dimensional Tensor Product Matrices
Here we provide tools for the computation and factorization of high-dimensional tensor products that are formed by smaller matrices. The methods are based on properties of Kronecker products (Searle 1982, p. 265, ISBN-10: 0470009616). We evaluated this methodology by benchmark testing and illustrated its use in Gaussian Linear Models ('Lopez-Cruz et al., 2024') doi:10.1093/g3journal/jkae001.
- Version0.1.4
- R version≥ 3.6.0
- LicenseGPL-3
- Needs compilation?Yes
- tensorEVD citation info
- Last release09/03/2024
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Team
Marco Lopez-Cruz
Gustavo de los Campos
Show author detailsRolesAuthorPaulino Perez-Rodriguez
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