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## derive variable ranges
## simple cases
# x == 1
A <- matrix(1)
b <- 1
expect_equivalent(ranges(A,b,neq=1), array(c(1,1), dim=c(1,2)))
# x >= 0
# x <= 1
A <- matrix(c(-1,1),nrow=2)
b <- c(0,1)
expect_equivalent(ranges(A,b,neq=0),array(c(0,1),dim=c(1,2)))
# More indirect case
# y == 2
# y + z == 3 (so z == 1)
# x + y < 0 (so -2 < x < -Inf)
#
A <- matrix(c(
0,1,0,
0,1,1,
1,1,0),byrow=TRUE,nrow=3
)
b <- c(2,3,0)
expect_equivalent(ranges(A,b,neq=2)
, array(c(-Inf,2,1,-2,2,1),dim=c(3,2))
)
## regression tests
A <- matrix(
c( 1, 1, 0,
-1, 0, 0,
0,-1, 0,
0, 0, 0),byrow=TRUE,nrow=4)
b <- c(1130,0,0,1130)
expect_equivalent(
ranges(A = A,b=b,neq=1,nleq=3)
, cbind(c(0,0,-Inf),c(1130,1130,Inf))
)
A <- matrix(0,nrow=2,ncol=3)
b <- c(1130,1130)
expect_equivalent(
ranges(A=A,b=b,neq=0,nleq=2)
, cbind(rep(-Inf,3),rep(Inf,3))
)
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