llgpout: Obtain solution to the LLGP problem

In goalprog: Weighted and lexicographical goal programming and optimization

Description

This function returns the optimal decision variables, negative deviation variables, positive deviation variables, objective function values, objective target values and the achievement function values.

Usage

llgpout(tab, coefficients, targets)

Arguments

tab	a list of named components that specifies the modified simplex tableau
coefficients	a matrix with the coefficients of the linear objective functions
targets	A vector of target values for the objective functions

Value

An object of class 'llgpout' that is a list with five named components

x	A numeric vector with the values of the decision variables
n	A numeric vector with the values of the negative deviation variables
p	A numeric vector with the values of the positive deviation variables
f	A numeric vector with the values of the linear objective functions
a	A numeric vector with the values of the achievement functions

Author(s)

Frederick Novomestky [e-mail]

References

Ignizio, J. P. (1976). Goal Programming and Extensions, Lexington Books, D. C. Heath and Company.

See Also

llgptab

Examples

data( ignizio.example.3.3 )
soln <- llgp( coefficients, targets, achievements )
out <- llgpout( soln$tab, coefficients, targets )

Example output

Loading required package: lpSolve

goalprog documentation built on May 30, 2017, 5:07 a.m.