dot-constant_grad: Gradient of a Constant Expression
In CVXR: Disciplined Convex Optimization
.constant_grad R Documentation
Gradient of a Constant Expression
Description
Returns a Variable -> Jacobian list for an expression that is constant in
all of its variables. Each Jacobian is the appropriate-shape zero
(a scalar 0 for scalar/scalar; a sparse zero matrix otherwise).
Usage
.constant_grad(expr)
Arguments
expr
An expression.
Details
Mirrors cvxpy/utilities/grad.py:constant_grad.
Value
A list keyed by variable id (as character), each entry the zero
Jacobian.
CVXR documentation built on Aug. 24, 2026, 9:10 a.m.
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| .constant_grad | R Documentation |
Gradient of a Constant Expression
Description
Returns a Variable -> Jacobian list for an expression that is constant in
all of its variables. Each Jacobian is the appropriate-shape zero
(a scalar 0 for scalar/scalar; a sparse zero matrix otherwise).
Usage
.constant_grad(expr)
Arguments
expr |
An expression. |
Details
Mirrors cvxpy/utilities/grad.py:constant_grad.
Value
A list keyed by variable id (as character), each entry the zero Jacobian.
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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