Numerical algorithm for solving mathematical programming problems with a smooth surface as a constraint
Žurnal vyčislitelʹnoj matematiki i matematičeskoj fiziki, Tome 56 (2016) no. 3, pp. 387-393
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A numerical algorithm for minimizing a convex function on a smooth surface is proposed. The algorithm is based on reducing the original problem to a sequence of convex programming problems. Necessary extremum conditions are examined, and the convergence of the algorithm is analyzed.
@article{ZVMMF_2016_56_3_a5,
author = {Yu. A. Chernyaev},
title = {Numerical algorithm for solving mathematical programming problems with a smooth surface as a constraint},
journal = {\v{Z}urnal vy\v{c}islitelʹnoj matematiki i matemati\v{c}eskoj fiziki},
pages = {387--393},
publisher = {mathdoc},
volume = {56},
number = {3},
year = {2016},
language = {ru},
url = {http://geodesic.mathdoc.fr/item/ZVMMF_2016_56_3_a5/}
}
TY - JOUR AU - Yu. A. Chernyaev TI - Numerical algorithm for solving mathematical programming problems with a smooth surface as a constraint JO - Žurnal vyčislitelʹnoj matematiki i matematičeskoj fiziki PY - 2016 SP - 387 EP - 393 VL - 56 IS - 3 PB - mathdoc UR - http://geodesic.mathdoc.fr/item/ZVMMF_2016_56_3_a5/ LA - ru ID - ZVMMF_2016_56_3_a5 ER -
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Yu. A. Chernyaev. Numerical algorithm for solving mathematical programming problems with a smooth surface as a constraint. Žurnal vyčislitelʹnoj matematiki i matematičeskoj fiziki, Tome 56 (2016) no. 3, pp. 387-393. http://geodesic.mathdoc.fr/item/ZVMMF_2016_56_3_a5/