Le ven. 09 mai à 03:44, Dimitris Rizopoulos a écrit :
try this:
A <- matrix(rnorm(10*4), 10, 4)
B <- matrix(rnorm(3*4), 3, 4)
C <- matrix(rnorm(5*4), 5, 4)
nrA <- nrow(A); nrB <- nrow(B); nrC <- nrow(C)
ind <- as.matrix(expand.grid(1:nrA, 1:nrB, 1:nrC))
D <- rowSums(A[ind[, 1], ] * B[ind[, 2],
try this:
A <- matrix(rnorm(10*4), 10, 4)
B <- matrix(rnorm(3*4), 3, 4)
C <- matrix(rnorm(5*4), 5, 4)
nrA <- nrow(A); nrB <- nrow(B); nrC <- nrow(C)
ind <- as.matrix(expand.grid(1:nrA, 1:nrB, 1:nrC))
D <- rowSums(A[ind[, 1], ] * B[ind[, 2], ] * C[ind[, 3], ])
dim(D) <- c(nrA, nrB, nrC)
D
I hop
Le jeu. 8 mai à 17:20, Giuseppe Paleologo a écrit :
I am struggling with R code optimization, a recurrent topic on this
list.
I have three arrays, say A, B and C, all having the same number of
columns.
I need to compute an array D whose generic element is
D[i, j, k] <- sum_n A[i, n]*B[j,
3 matches
Mail list logo