EuclideanProjectionENNORM {AMOUNTAIN} | R Documentation

## Euclidean projection on elastic net

### Description

Piecewise root finding algorithm for Euclidean projection on elastic net

### Usage

    EuclideanProjectionENNORM(y, t, alpha = 0.5)

### Arguments

`y` | constant vector
`t` | radius of elastic net ball
`alpha` | parameter in elastic net: alpha x_1 + (1-alpha)*x_2^2=t

### Value

a list containing network adjacency matrix, node score and module membership

### Author(s)

Dong Li, dxl466@cs.bham.ac.uk

### References

Gong, Pinghua, Kun Gai, and Changshui Zhang. "Efficient euclidean projections via piecewise root finding and its application in gradient projection." Neurocomputing 74.17 (2011): 2754-2766.

### Examples

    y=rnorm(100)
    x=EuclideanProjectionENNORM(y,1,0.5)
    sparistyx = sum(x==0)/100

[Package AMOUNTAIN version 1.6.0 Index]