dot-error_grad: Error Gradient (None for every variable)
In CVXR: Disciplined Convex Optimization
.error_grad R Documentation
Error Gradient (None for every variable)
Description
Returns a list keyed by variable id with every entry NULL. Used by the
chain-rule walker to propagate "could not compute" up the DAG when any
argument value is missing.
Usage
.error_grad(expr)
Arguments
expr
An expression.
Details
Mirrors cvxpy/utilities/grad.py:error_grad.
Value
A list keyed by variable id (as character), each entry NULL.
CVXR documentation built on Oct. 19, 2026, 5:07 p.m.
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| .error_grad | R Documentation |
Error Gradient (None for every variable)
Description
Returns a list keyed by variable id with every entry NULL. Used by the chain-rule walker to propagate "could not compute" up the DAG when any argument value is missing.
Usage
.error_grad(expr)
Arguments
expr |
An expression. |
Details
Mirrors cvxpy/utilities/grad.py:error_grad.
Value
A list keyed by variable id (as character), each entry NULL.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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