conv: Discrete Convolution

In CVXR: Disciplined Convex Optimization

Discrete Convolution

Description

The 1-D discrete convolution of two vectors.

Usage

conv(lh_exp, rh_exp)

Arguments

lh_exp	An Expression or vector representing the left-hand value.
rh_exp	An Expression or vector representing the right-hand value.

Value

An Expression representing the convolution of the input.

Examples

set.seed(129)
x <- Variable(5)
h <- matrix(stats::rnorm(2), nrow = 2, ncol = 1)
prob <- Problem(Minimize(sum(conv(h, x))))
result <- solve(prob)
result$value
result$getValue(x)

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