Nothing
##
## Unit testing of Linear Program with cone constraints
test.LPCC <- function(){
## Creating LP
q <- c(-6, -4, -5)
## NNO constraint
G <- matrix(c(16, -14, 5,
7, 2, 0),
nrow = 2, ncol = 3, byrow = TRUE)
h <- c(-3, 5)
nno1 <- nnoc(G = G, h = h)
## SOC constraint
F1 <- matrix(c(8, 13, -12,
-8, 18, 6,
1, -3, -17),
nrow = 3, ncol = 3, byrow = TRUE)
g1 <- c(-2, -14, -13)
d1 <- c(-24, -7, 15)
f1 <- 12
soc1 <- socc(F = F1, g = g1, d = d1, f = f1)
## PSD constraint
F1 <- matrix(c(7, -5, 1,
-5, 1, -7,
1, -7, -4),
nrow = 3, ncol = 3, byrow = TRUE)
F2 <- matrix(c(3, 13, -6,
13, 12, -10,
-6, -10, -28),
nrow = 3, ncol = 3, byrow = TRUE)
F3 <- matrix(c(9, 6, -6,
6, -7, -7,
-6, -7, -11),
nrow = 3, ncol = 3, byrow = TRUE)
F0 <- matrix(c(68, -30, -19,
-30, 99, 23,
-19, 23, 10),
nrow = 3, ncol = 3, byrow = TRUE)
psd1 <- psdc(Flist = list(F1, F2, F3), F0 = F0)
## Using main function of package
ans <- cccp(q = q, cList = list(nno1, soc1, psd1))
checkTrue(ans$status == "optimal")
return()
}
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