Optimization Hi,
I have a question that need your help:
consider a linear programming
maximize Transpose(C ) x
subject to Ax>= b
Dx= f
D is a given nonzero p*n matrix assumed to have rank p. explain how to transform this into an inquality form instead of linear programming by eliminating p variables.
write it as max transpose(Cbar) xbar
subject to Abar xbar >= bar
where x is a belong to Real(dimension n-p).
Dx =f can b written as Dx<=f and -Dx<=-f
And im suppose to use Fourier-Motzkin Elimination to eliminate variables, but i am not too sure how to approach it
Thanks
Jupiter |