Analysis of a non-monotone smoothing-type algorithm for the second-order cone programming
Jingyong Tang; Li Dong; Liang Fang; Li Sun
Applications of Mathematics (2015)
- Volume: 60, Issue: 1, page 35-49
- ISSN: 0862-7940
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topTang, Jingyong, et al. "Analysis of a non-monotone smoothing-type algorithm for the second-order cone programming." Applications of Mathematics 60.1 (2015): 35-49. <http://eudml.org/doc/262175>.
@article{Tang2015,
abstract = {The smoothing-type algorithm is a powerful tool for solving the second-order cone programming (SOCP), which is in general designed based on a monotone line search. In this paper, we propose a smoothing-type algorithm for solving the SOCP with a non-monotone line search. By using the theory of Euclidean Jordan algebras, we prove that the proposed algorithm is globally and locally quadratically convergent under suitable assumptions. The preliminary numerical results are also reported which indicate that the non-monotone smoothing-type algorithm is promising for solving the SOCP.},
author = {Tang, Jingyong, Dong, Li, Fang, Liang, Sun, Li},
journal = {Applications of Mathematics},
keywords = {second-order cone programming; smoothing Newton algorithm; non-monotone line search; convergence; second-order cone programming; smoothing Newton algorithm; non-monotone line search; global convergence; local quadratic convergence},
language = {eng},
number = {1},
pages = {35-49},
publisher = {Institute of Mathematics, Academy of Sciences of the Czech Republic},
title = {Analysis of a non-monotone smoothing-type algorithm for the second-order cone programming},
url = {http://eudml.org/doc/262175},
volume = {60},
year = {2015},
}
TY - JOUR
AU - Tang, Jingyong
AU - Dong, Li
AU - Fang, Liang
AU - Sun, Li
TI - Analysis of a non-monotone smoothing-type algorithm for the second-order cone programming
JO - Applications of Mathematics
PY - 2015
PB - Institute of Mathematics, Academy of Sciences of the Czech Republic
VL - 60
IS - 1
SP - 35
EP - 49
AB - The smoothing-type algorithm is a powerful tool for solving the second-order cone programming (SOCP), which is in general designed based on a monotone line search. In this paper, we propose a smoothing-type algorithm for solving the SOCP with a non-monotone line search. By using the theory of Euclidean Jordan algebras, we prove that the proposed algorithm is globally and locally quadratically convergent under suitable assumptions. The preliminary numerical results are also reported which indicate that the non-monotone smoothing-type algorithm is promising for solving the SOCP.
LA - eng
KW - second-order cone programming; smoothing Newton algorithm; non-monotone line search; convergence; second-order cone programming; smoothing Newton algorithm; non-monotone line search; global convergence; local quadratic convergence
UR - http://eudml.org/doc/262175
ER -
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