rkeops (version 2.2.2)

max_argmax: Max-ArgMax reduction

Description

Max-ArgMax reduction for LazyTensor objects.

Usage

max_argmax(x, index)
max_argmax_reduction(x, index)

Value

an array storing the result of the specified Max-ArgMax reduction otherwise.

Arguments

x

a LazyTensor or a ComplexLazyTensor.

index

a character corresponding to the wanted reduction dimension, either "i" or "j", to specify whether if the Max-ArgMax reduction is done along the index i or j.

Author

Chloe Serre-Combe, Amelie Vernay

Details

If x is a LazyTensor, max_argmax(x, index) will :

• if index = "i", return the Max-ArgMax reduction of x over the i indexes.

• if index = "j", return the Max-ArgMax reduction 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".

Examples

if (FALSE) {
x <- matrix(runif(150 * 3), 150, 3) # arbitrary R matrix, 150 rows, 3 columns
x_i <- LazyTensor(x, index = 'i')   # creating LazyTensor from matrix x, 
                                    # indexed by 'i'

max_argmax_x <- max_argmax(x_i, "i")  # max argmax reduction indexed by 'i'
}
if (FALSE) {
x <- matrix(runif(150 * 3), 150, 3) # arbitrary R matrix, 150 rows, 3 columns
x_i <- LazyTensor(x, index = 'i')   # creating LazyTensor from matrix x, 
                                    # indexed by 'i'

max_argmax_red <- max_argmax_reduction(x_i, "i")  # max argmax reduction 
                                                  # indexed by 'i'
}