DelayedTensor-package | R Documentation |

DelayedTensor operates Tensor arithmetic directly on DelayedArray object. DelayedTensor provides some generic function related to Tensor arithmetic/decompotision and dispatches it on the DelayedArray class. DelayedTensor also suppors Tensor contraction by einsum function, which is inspired by numpy einsum.

The DESCRIPTION file:
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NA

Maintainer: NA

# Unfold operations
`unfold`

, `k_unfold`

, `matvec`

,
`rs_unfold`

, `cs_unfold`

, `ttl`

# Fold operations
`fold`

, `k_fold`

, `unmatvec`

,
`rs_fold`

, `cs_fold`

, `ttm`

# Vectorization
`vec`

# Norm operations
`fnorm`

, `innerProd`

# Diagonal operations / Diagonal Tensor
`diag`

, `DelayedDiagonalArray`

# Mode-wise operations
`modeSum`

, `modeMean`

# Tensor product operations
`hadamard`

, `hadamard_list`

,
`kronecker`

, `kronecker_list`

,
`khatri_rao`

, `khatri_rao_list`

# Utilities
`list_rep`

, `modebind_list`

,
`rbind_list`

, `cbind_list`

# Decomposition operations
`hosvd`

, `cp`

, `tucker`

,
`mpca`

, `pvd`

# Einsum operation
`einsum`

ls("package:DelayedTensor")

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