is_dcp: DCP Compliance
In CVXR: Disciplined Convex Optimization
is_dcp R Documentation
DCP Compliance
Description
Determine if a problem or expression complies with the disciplined convex programming rules.
Usage
is_dcp(object)
Arguments
object
A Problem or Expression object.
Value
A logical value indicating whether the problem or expression is DCP compliant, i.e. no unknown curvatures.
Examples
x <- Variable()
prob <- Problem(Minimize(x^2), list(x >= 5))
is_dcp(prob)
solve(prob)
CVXR documentation built on Oct. 31, 2022, 1:07 a.m.
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| is_dcp | R Documentation |
DCP Compliance
Description
Determine if a problem or expression complies with the disciplined convex programming rules.
Usage
is_dcp(object)
Arguments
object |
A Problem or Expression object. |
Value
A logical value indicating whether the problem or expression is DCP compliant, i.e. no unknown curvatures.
Examples
x <- Variable() prob <- Problem(Minimize(x^2), list(x >= 5)) is_dcp(prob) solve(prob)
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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