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This article is cited in 7 scientific papers (total in 7 papers)
Optimal control
Primal–dual Newton method with steepest descent for the linear semidefinite programming problem: Newton's system of equations
V. G. Zhadanab a Dorodnicyn Computing Center, Federal Research Center "Computer Science and Control", Russian Academy of Sciences, 117333, Moscow, Russia
b Moscow Institute of Physics and Technology (National Research University), Dolgoprudny, Moscow Region
Abstract:
The linear semidefinite programming problem is considered. It is proposed to solve it using a feasible primal–dual method based on solving the system of equations describing the optimality conditions in the problem by Newton’s method. The selection of Newton’s displacement directions in the case when the current points of the iterative process lie on the boundaries of feasible sets is discussed. The partition of the space of symmetric matrices into subspaces is essentially used.
Key words:
linear semidefinite programming problem, optimality conditions, primal–dual Newton's method, steepest descent.
Received: 02.04.2021 Revised: 02.04.2021 Accepted: 12.10.2021
Citation:
V. G. Zhadan, “Primal–dual Newton method with steepest descent for the linear semidefinite programming problem: Newton's system of equations”, Zh. Vychisl. Mat. Mat. Fiz., 62:2 (2022), 232–248; Comput. Math. Math. Phys., 62:2 (2022), 232–247
Linking options:
https://www.mathnet.ru/eng/zvmmf11357 https://www.mathnet.ru/eng/zvmmf/v62/i2/p232
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