Method of TTTensor.
Compute the Jacobian matrix of the mss output equations in
Tensor-Train (TT) format.
Source:
src/tensor/@TTTensor/computeOutputJacobianMatrixMss.m
jacobianMatrix = computeOutputJacobianMatrixMss(obj, sys, variableVector, nVariables)computeOutputJacobianMatrixMss computes the Jacobian of
the output equations of an mss model by contracting the
Tensor-Train cores at the specified operating point defined by the state
vector x and input vector u.
The Jacobian is evaluated directly from the Tensor-Train representation by contracting the TT cores and computing the derivatives with respect to each variable. The full multilinear parameter tensor is never explicitly constructed.
To improve computational efficiency, left and right partial contractions of the TT network are precomputed and reused when evaluating the derivative with respect to each variable.
| Argument | Description |
|---|---|
obj |
TTTensor
object. |
sys |
mss model object. |
variableVector |
Combined operating-point vector. |
nVariables |
Number of variables. |
| Output | Description |
|---|---|
jacobianMatrix |
Jacobian matrix of the mss output equations. |
TTTensor · computeStateJacobianMatrixMss
· computeFunctionValueMss
· mss
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