DeepLearning,Tensor,Determinant
compute determinant of a Tensor
DeepLearning,Tensor,MatrixInverse
compute matrix inverse of a Tensor
DeepLearning,Tensor,Norm
compute norm of a Tensor
DeepLearning,Tensor,Trace
compute trace of a Tensor
DeepLearning,Tensor,Transpose
compute transpose of a Tensor
|
Calling Sequence
|
|
Determinant(x,opts)
MatrixInverse(x,opts)
Norm(x,ord,opts)
Trace(x,opts)
Transpose(x,opts)
|
|
Parameters
|
|
x
|
-
|
Tensor
|
ord
|
-
|
(optional) a positive real number, infinity, or Frobenius, the norm to use
|
opts
|
-
|
zero or more options as specified below
|
|
|
|
|
Options
|
|
The value of option name specifies an optional name for this Tensor, to be displayed in output and when visualizing the dataflow graph.
|
|
Description
|
|
•
|
The Determinant(x,opts) command computes the Determinant of the Tensor x.
|
•
|
The MatrixInverse(x,opts) command computes the matrix inverse of x.
|
•
|
The Norm(x,ord,opts) command computes the norm of x using norm ord.
|
•
|
The Trace(x,opts) command computes the trace of the Tensor x.
|
•
|
The Transpose(x,opts) command computes the transpose of the Tensor x.
|
|
|
Examples
|
|
>
|
|
>
|
|
| (1) |
| (2) |
| (3) |
| (4) |
| (5) |
| (6) |
|
|
Compatibility
|
|
•
|
The DeepLearning,Tensor,Determinant, DeepLearning,Tensor,MatrixInverse, DeepLearning,Tensor,Norm, DeepLearning,Tensor,Trace and DeepLearning,Tensor,Transpose commands were introduced in Maple 2018.
|
|
|
|
|
|
|