dnl function

Creating a member object of the reference-class DNL

This function returns an object containing the definition of a linear program with non-linear constraints and (if provided) cone constraints. The returned object is a member of the reference-class DNL.

dnl(q, A = NULL, b = NULL, cList = list(),
    x0, nlfList = list(), nlgList = list(), nlhList = list())

Arguments

• q: vector of length $n$ for the coefficients in the objective.
• A: An object of class matrix with dimension c("$p \\times\n$", "$n$") or NULL for problems without equality constraints.
• b: An object of class vector with dimension c("$p \\times\n$", "$1$") or NULL for problems without equality constraints.
• cList: A list object containing the cone constraints. Elements must be of either S4-class NNOC, or SOCC, or PSDC or an empty list in case of no inequality constraints.
• x0: An object of class vector with dimension c("$n\n$", "$\\times 1$") for the initial values. The point x0 must be in the domain of the nonlinear constraints.
• nlfList: A list object containing the nonlinear constraints as its elements. The functions have to be specified with x as their first argument and must be casted in implicit form, i.e. $f(x) \le 0$.
• nlgList: A list object containing the gradient functions as its elements. The functions have to be specified with x as their first argument.
• nlhList: A list object containing the Hessian functions as its elements. The functions have to be specified with x as their first argument.

Returns

An object belonging to the reference-class DNL.