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JOURNALS // Zhurnal Vychislitel'noi Matematiki i Matematicheskoi Fiziki // Archive

Zh. Vychisl. Mat. Mat. Fiz., 2022 Volume 62, Number 4, Pages 597–615 (Mi zvmmf11384)

Optimal control

Primal–dual Newton method with steepest descent for the linear semidefinite programming problem: iterative process

V. G. Zhadanab

a Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow
b Moscow Institute of Physics and Technology (National Research University), Dolgoprudny, Moscow Region

Abstract: The primal–dual Newton method for solving the linear semidefinite programming problem is considered. Both primal and weak dual variables may be rank-deficient and belong to the boundaries of feasible sets. Formulas for determining the displacement directions are presented, and properties of these directions are investigated. A technique for selecting the displacement steps that leads to decreasing the rank of the symmetrized product of the primal and weak dual variables is described.

Key words: linear semidefinite programming problem, primal-dual Newton method, iterative process, steepest descent.

UDC: 519.658

Received: 02.04.2021
Revised: 02.04.2021
Accepted: 16.12.2021

DOI: 10.31857/S0044466922040135


 English version:
Computational Mathematics and Mathematical Physics, 2022, 62:4, 581–598

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© Steklov Math. Inst. of RAS, 2026