
doi: 10.1007/bf01580219
The Frank and Wolfe method of feasible directions is shown to be a case of the more general computational approach of inner linearization followed by restriction. An extension is proposed based on this observation. The extended procedure converges, and under certain conditions the asymptotic convergence rate is geometric. Limited computational experience comparing the two procedures is reported.
Convex programming, Numerical mathematical programming methods, Nonlinear programming
Convex programming, Numerical mathematical programming methods, Nonlinear programming
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