scalene: Scalene Function

In CVXR: Disciplined Convex Optimization

Scalene Function

Description

The elementwise weighted sum of the positive and negative portions of an expression, \alpha\max(x_i,0) - \beta\min(x_i,0). This is equivalent to alpha*pos(x) + beta*neg(x).

Usage

scalene(x, alpha, beta)

Arguments

x	An Expression, vector, or matrix.
alpha	The weight on the positive portion of x.
beta	The weight on othe negative portion of x.

Value

An Expression representing the scalene function evaluated at the input.

Examples

## Not run: 
A <- Variable(2,2)
val <- cbind(c(-5,2), c(-3,1))
prob <- Problem(Minimize(scalene(A,2,3)[1,1]), list(A == val))
result <- solve(prob)
result$value
result$getValue(scalene(A, 0.7, 0.3))

## End(Not run)

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