Q_objective: Quadratic Objective Function
In ROI: R Optimization Infrastructure

Description Usage Arguments Value Author(s)

A quadratic objective function is typically of the form

\frac{1}{2} x^\top Qx + c^\top x

where Q is a (sparse) matrix defining the quadratic part of the function and c is a (sparse) vector of coefficients to the n defining the linear part.

Q_objective(Q, L = NULL, names = NULL)

## S3 method for class 'Q_objective'
terms(x, ...)

as.Q_objective(x)

## S3 method for class 'Q_objective'
variable.names(object, ...)

`Q`	a n \times n matrix with numeric entries representing the quadratic part of objective function. Sparse matrices of class `"simple_triplet_matrix"` can be supplied.
`L`	a numeric vector of length n, where n is the number of objective variables.
`names`	an optional character vector giving the names of x (row/column names of Q, column names of L).
`x`	an R object.
`...`	further arguments passed to or from other methods
`object`	an R object.