initState: Generate an initial feasible solution by solving a linear...
In KnapsackSampling: Generate Feasible Samples of a Knapsack Problem
View source: R/knapsackSampling.R
initState R Documentation
Generate an initial feasible solution by solving a linear programming with binary variables
Description
Generate an initial feasible solution by solving a linear programming with binary variables
Usage
initState(numVar, objVec = runif(numVar), constraints = NULL)
Arguments
numVar
- number of variables
objVec
- objective function as a numeric vector
constraints
- a list of list of constraints with constr.mat, constr.dir, constr.rhs in each sublist
Value
a binary vector containing a feasible solution
Examples
#see documentation for sampl.mcmc
KnapsackSampling documentation built on May 29, 2024, 7:35 a.m.
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View source: R/knapsackSampling.R
| initState | R Documentation |
Generate an initial feasible solution by solving a linear programming with binary variables
Description
Generate an initial feasible solution by solving a linear programming with binary variables
Usage
initState(numVar, objVec = runif(numVar), constraints = NULL)
Arguments
numVar |
- number of variables |
objVec |
- objective function as a numeric vector |
constraints |
- a list of list of constraints with constr.mat, constr.dir, constr.rhs in each sublist |
Value
a binary vector containing a feasible solution
Examples
#see documentation for sampl.mcmc
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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