CVXR: conv – R documentation

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conv

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

Disciplined Convex Optimization

v1.0-10

Apache License 2.0 | file LICENSE

Authors

Anqi Fu [aut, cre], Balasubramanian Narasimhan [aut], David W Kang [aut], Steven Diamond [aut], John Miller [aut], Stephen Boyd [ctb], Paul Kunsberg Rosenfield [ctb]

Initial release