K-Min reduction

K-Min reduction for LazyTensor objects.

Usage

Kmin(x, K, index)

Kmin_reduction(x, K, index)

Arguments

x

a LazyTensor or a ComplexLazyTensor.

K

An integer corresponding to the number of minimal values required.

index

a character corresponding to the reduction dimension that should be either "i" or "j" to specify whether if the reduction is indexed by "i" or "j".

Value

A matrix corresponding to the Kmin reduction.

Details

If x is a LazyTensor or a ComplexLazyTensor, Kmin(x, K, index) will:

• if index = "i", return the K minimal values of x over the i indexes.

• if index = "j", return the K minimal values of x over the j indexes.

Note: Run browseVignettes("rkeops") to access the vignettes and find details about this function in the "RKeOps LazyTensor" vignette, at section "Reductions".

Author

Chloe Serre-Combe, Amelie Vernay

Examples

if (FALSE) {
x <- matrix(runif(150 * 3), 150, 3) # arbitrary R matrix, 150 rows, 3 columns
x_i <- LazyTensor(x, index = 'i')   # LazyTensor from matrix x, indexed by 'i'
K <- 2
kmin_x <- Kmin(x_i, K, "i")         # Kmin reduction, over the 'i' indices
}
if (FALSE) {
x <- matrix(runif(150 * 3), 150, 3) # arbitrary R matrix, 150 rows, 3 columns
x_i <- LazyTensor(x, index = 'i')   # LazyTensor from matrix x, indexed by 'i'
K <- 2
kmin_red_x <- Kmin_reduction(x_i, K, "i")   # Kmin reduction, indexed by 'i'
}