MetaCartSign in to MyCiteSeer

Include Citations | Advanced Search | Help

Include Citations | Advanced Search | Help

  Self-scaled cones and interior-point methods in nonlinear programming (1994) [24 citations — 1 self]

Download:
pdf | ps
by Yu. E. Nesterov, M. J. Todd
Working Paper, CORE, Catholic University of Louvain, Louvain-la-Neuve
http://karush.rutgers.edu/~alizadeh/Sdppage/Todd/nesto15.ps
Add To MetaCart

Abstract:

Abstract: This paper provides a theoretical foundation for efficient interior-point algorithms for nonlinear programming problems expressed in conic form, when the cone and its associated barrier are self-scaled. For such problems we devise long-step and symmetric primal-dual methods. Because of the special properties of these cones and barriers, our algorithms can take steps that go typically a large fraction of the way to the boundary of the feasible region, rather than being confined to a ball of unit radius in the local norm defined by the Hessian of the barrier.

Citations

457 A new polynomial-time algorithm for linear programming – Karmarkar - 1984
165 Convex analysis and variational problems – Ekeland, Temam - 1976
53 An O(pnL) iteration potential reduction algorithm for linear complementarity problems – Kojima, Mizuno, et al. - 1991
50 A short-cut potential reduction algorithm for linear programming – Kaliski, Ye - 1993
30 A centered projective algorithm for linear programming – Todd, Ye - 1990
25 A polynomial method of approximate centers for linear programming – Roos, Vial - 1992
16 Polynomial Affine Algorithms for Linear Programming – Gonzaga - 1990
15 Long-step strategies in interior-point primal-dual methods – Nesterov - 1993
11 Potential reduction polynomial time method for truss topology design – Ben-Tal, Nemirovskii - 1994
1 A strengthened acceptance criterion for approximate projections in Karmarkar's algorithm – Anstreicher - 1986