is_feasible: Checks if a vector V is feasible in the decision space...
In ingridas/EPICR: An Implementation of Efficient Pareto Iterative Classification Method
Description
Usage
Arguments
Value
Examples
Description
Checks if a vector V is feasible in the decision space bounded by box constraints
Usage
1
is_feasible(V, L, U)
Arguments
V
- a decision vector
L
- lower bound, a vector
U
- upper bound, a vector
Value
True, if vector V is feasible, FALSE, otherwise
Examples
1
2
is_feasible(c(3,5), c(2,1), c(5,4))
is_feasible(c(3,5), c(2,1), c(5,6))
ingridas/EPICR documentation built on May 18, 2019, 4:54 a.m.
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Description Usage Arguments Value Examples
Description
Checks if a vector V is feasible in the decision space bounded by box constraints
Usage
1 | is_feasible(V, L, U)
|
Arguments
V |
- a decision vector |
L |
- lower bound, a vector |
U |
- upper bound, a vector |
Value
True, if vector V is feasible, FALSE, otherwise
Examples
1 2 | is_feasible(c(3,5), c(2,1), c(5,4))
is_feasible(c(3,5), c(2,1), c(5,6))
|
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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