norm2: Euclidean Norm

In CVXR: Disciplined Convex Optimization

Euclidean Norm

Description

\|x\|_2 = \left(\sum_{i=1}^n x_i^2\right)^{1/2}.

Usage

norm2(x, axis = NA_real_, keepdims = FALSE)

Arguments

x	An Expression, vector, or matrix.
axis	(Optional) The dimension across which to apply the function: 1 indicates rows, 2 indicates columns, and NA indicates rows and columns. The default is NA.
keepdims	(Optional) Should dimensions be maintained when applying the atom along an axis? If FALSE, result will be collapsed into an n x 1 column vector. The default is FALSE.

Value

An Expression representing the Euclidean norm of the input.

Examples

a <- Variable()
prob <- Problem(Minimize(norm2(a)), list(a <= -2))
result <- solve(prob)
result$value
result$getValue(a)

prob <- Problem(Maximize(-norm2(a)), list(a <= -2))
result <- solve(prob)
result$value
result$getValue(a)

x <- Variable(2)
z <- Variable(2)
prob <- Problem(Minimize(norm2(x - z) + 5), list(x >= c(2,3), z <= c(-1,-4)))
result <- solve(prob)
result$value
result$getValue(x)
result$getValue(z)

prob <- Problem(Minimize(norm2(t(x - z)) + 5), list(x >= c(2,3), z <= c(-1,-4)))
result <- solve(prob)
result$value
result$getValue(x)
result$getValue(z)

CVXR documentation built on June 27, 2024, 5:11 p.m.