lpsolve_over_eta: Solve LP over polytope described by eta
In pierrejacob/montecarlodsm: Gibbs sampler for Dempster-Shafer inference in Categorical distributions
Description
Usage
Arguments
Value
Examples
View source: R/lpsolve_over_eta.R
Description
Minimize linear program of the form
t(objective_vector) * theta
over theta in the convex polytope of theta included in the simplex
and such that theta_l / theta_k <= etak,l.
Employs the lpSolveAPI package.
Usage
1
lpsolve_over_eta(eta, objective_vector)
Arguments
eta
A matrix of dimension K x K describing a convex polytope.
objective_vector
a vector giving coefficient of linear function to minimize.
Value
Evaluation of the objective function at its minimum.
Examples
1
2
3
4
5
## Not run:
eta <- rejection_sampler(c(1,0,3,2))$etas
lpsolve_over_eta(eta, c(1,0,0,0))
## End(Not run)
pierrejacob/montecarlodsm documentation built on June 16, 2021, 1:06 p.m.
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Description Usage Arguments Value Examples
View source: R/lpsolve_over_eta.R
Description
Minimize linear program of the form
t(objective_vector) * theta
over theta in the convex polytope of theta included in the simplex
and such that theta_l / theta_k <= etak,l.
Employs the lpSolveAPI package.
Usage
1 | lpsolve_over_eta(eta, objective_vector)
|
Arguments
eta |
A matrix of dimension K x K describing a convex polytope. |
objective_vector |
a vector giving coefficient of linear function to minimize. |
Value
Evaluation of the objective function at its minimum.
Examples
1 2 3 4 5 | ## Not run:
eta <- rejection_sampler(c(1,0,3,2))$etas
lpsolve_over_eta(eta, c(1,0,0,0))
## 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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