addConstraint: Add constraints to optimization problem
In convexjlr: Disciplined Convex Programming in R using 'Convex.jl'
Description
Usage
Arguments
Value
Examples
Description
addConstraint add additional constraints to optimization problem.
Usage
1
addConstraint(p, ...)
Arguments
p
optimization problem to add constraints.
...
additional constraints.
Value
the optimization problem with the additional constraints.
Examples
1
2
3
4
5
6
7
8
## Not run:
convex_setup()
x <- Variable(4)
b <- J(c(1:4))
p <- minimize(sum((x - b) ^ 2))
p <- addConstraint(p, x >= 0, x <= 3)
## End(Not run)
convexjlr documentation built on May 2, 2019, 5:28 a.m.
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Description Usage Arguments Value Examples
Description
addConstraint add additional constraints to optimization problem.
Usage
1 | addConstraint(p, ...)
|
Arguments
p |
optimization problem to add constraints. |
... |
additional constraints. |
Value
the optimization problem with the additional constraints.
Examples
1 2 3 4 5 6 7 8 | ## Not run:
convex_setup()
x <- Variable(4)
b <- J(c(1:4))
p <- minimize(sum((x - b) ^ 2))
p <- addConstraint(p, x >= 0, x <= 3)
## End(Not run)
|
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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