constraints: Constraints - Accessor and Mutator Functions
In ROI: R Optimization Infrastructure
Description
Usage
Arguments
Value
Author(s)
Examples
Description
The constraints of a given optimization problem (OP)
can be accessed or mutated via the method 'constraints'.
Usage
1
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constraints(x)
## S3 method for class 'OP'
constraints(x)
constraints(x) <- value
Arguments
x
an object used to select the method.
value
an R object.
Value
the extracted constraints object.
Author(s)
Stefan Theussl
Examples
1
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## minimize: x + 2 y
## subject to: x + y >= 1
## x, y >= 0
x <- OP(1:2)
constraints(x) <- L_constraint(c(1, 1), ">=", 1)
constraints(x)
ROI documentation built on Aug. 29, 2020, 3:01 p.m.
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Description Usage Arguments Value Author(s) Examples
Description
The constraints of a given optimization problem (OP)
can be accessed or mutated via the method 'constraints'.
Usage
1 2 3 4 5 6 | constraints(x)
## S3 method for class 'OP'
constraints(x)
constraints(x) <- value
|
Arguments
x |
an object used to select the method. |
value |
an R object. |
Value
the extracted constraints object.
Author(s)
Stefan Theussl
Examples
1 2 3 4 5 6 | ## minimize: x + 2 y
## subject to: x + y >= 1
## x, y >= 0
x <- OP(1:2)
constraints(x) <- L_constraint(c(1, 1), ">=", 1)
constraints(x)
|
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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