solve.QP {quadprog}  R Documentation 
This routine implements the dual method of Goldfarb and Idnani (1982, 1983) for solving quadratic programming problems of the form min(d^T b + 1/2 b^T D b) with the constraints A^T b >= b_0.
solve.QP(Dmat, dvec, Amat, bvec, meq=0, factorized=FALSE)
Dmat 
matrix appearing in the quadratic function to be minimized. 
dvec 
vector appearing in the quadratic function to be minimized. 
Amat 
matrix defining the constraints under which we want to minimize the quadratic function. 
bvec 
vector holding the values of b_0 (defaults to zero). 
meq 
the first meq constraints are treated as equality
constraints, all further as inequality constraints (defaults to 0).

factorized 
logical flag: if TRUE , then we are passing
R^(1) (where D = R^T R) instead of the matrix
D in the argument Dmat .

a list with the following components:
solution 
vector containing the solution of the quadratic programming problem. 
value 
scalar, the value of the quadratic function at the solution 
unconstrained.solution 
vector containing the unconstrained minimizer of the quadratic function. 
iterations 
vector of length 2, the first component contains the number of iterations the algorithm needed, the second indicates how often constraints became inactive after becoming active first. vector with the indices of the active constraints at the solution. 
Goldfarb, D. and Idnani, A. (1982). Dual and PrimalDual Methods for Solving Strictly Convex Quadratic Programs. In Numerical Analysis J.P. Hennart, ed. SpringerVerlag, Berlin. pp. 226239.
Goldfarb, D. and Idnani, A. (1983). A numerically stable dual method for solving strictly convex quadratic programs. Mathematical Programming 27, 133.
# # Assume we want to minimize: (0 5 0) %*% b + 1/2 b^T b # under the constraints: A^T b >= b0 # with b0 = (8,2,0)^T # and (4 2 0) # A = (3 1 2) # ( 0 0 1) # we can use solve.QP as follows: # Dmat < matrix(0,3,3) diag(Dmat) < 1 dvec < c(0,5,0) Amat < matrix(c(4,3,0,2,1,0,0,2,1),3,3) bvec < c(8,2,0) solve.QP(Dmat,dvec,Amat,bvec=bvec)