is_dpp: Check DPP Compliance
In CVXR: Disciplined Convex Optimization
is_dpp R Documentation
Check DPP Compliance
Description
Determines whether an expression or problem satisfies the rules of
Disciplined Parameterized Programming (DPP). A DPP-compliant problem
enables caching the compilation across parameter value changes.
Usage
is_dpp(x, context = "dcp")
Arguments
x
An expression, constraint, or problem object.
context
Either "dcp" (default) or "dgp": which
discipline to check parameterization against. Mirrors CVXPY's
is_dpp(context=...).
Value
Logical scalar.
CVXR documentation built on Aug. 24, 2026, 9:10 a.m.
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| is_dpp | R Documentation |
Check DPP Compliance
Description
Determines whether an expression or problem satisfies the rules of Disciplined Parameterized Programming (DPP). A DPP-compliant problem enables caching the compilation across parameter value changes.
Usage
is_dpp(x, context = "dcp")
Arguments
x |
An expression, constraint, or problem object. |
context |
Either |
Value
Logical scalar.
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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