Minimization of nonlinear functions with linear restrictions

The algorithms for minimization of large-dimension functions with linear constraints with allowance for sparseness of the limitation matrices are considered. A~special case of the quadratic programming is emphasized. The algorithms have been implemented as a package of software programs to be used in the operational environments DOS, UNIX.