Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Radu Ioan Bot"'
Publikováno v:
Advances in Nonlinear Analysis, Vol 10, Iss 1, Pp 450-476 (2020)
Advances in Nonlinear Analysis
Advances in Nonlinear Analysis, De Gruyter, 2021, 10 (1), pp.450-476. ⟨10.1515/anona-2020-0143⟩
Advances in Nonlinear Analysis, 10(1), 450-476. De Gruyter
Advances in Nonlinear Analysis
Advances in Nonlinear Analysis, De Gruyter, 2021, 10 (1), pp.450-476. ⟨10.1515/anona-2020-0143⟩
Advances in Nonlinear Analysis, 10(1), 450-476. De Gruyter
In this work we investigate dynamical systems designed to approach the solution sets of inclusion problems involving the sum of two maximally monotone operators. Our aim is to design methods which guarantee strong convergence of trajectories towards
Publikováno v:
SIAM Journal on Optimization. 29:1300-1328
We propose a proximal algorithm for minimizing objective functions consisting of three summands: the composition of a nonsmooth function with a linear operator, another nonsmooth function, each of the nonsmooth summands depending on an independent bl
Autor:
Dennis Meier, Radu Ioan Bot
Publikováno v:
Journal of Computational and Applied Mathematics. 395:113589
In this article, we propose a Krasnosel’skiǐ–Mann-type algorithm for finding a common fixed point of a countably infinite family of nonexpansive operators ( T n ) n ≥ 0 in Hilbert spaces. We formulate an asymptotic property which the family (
Publikováno v:
EURO Journal on Computational Optimization, Vol 4, Iss 1, Pp 3-25 (2016)
We propose a forward–backward proximal-type algorithm with inertial/memory effects for minimizing the sum of a nonsmooth function with a smooth one in the nonconvex setting. Every sequence of iterates generated by the algorithm converges to a criti
Autor:
Radu Ioan Bot, Ernö Robert Csetnek
Publikováno v:
SIAM Journal on Control and Optimization. 54:1423-1443
We begin by considering second order dynamical systems of the from $\ddot x(t) + \gamma(t)\dot x(t) + \lambda(t)B(x(t))=0$, where $B: {\cal H}\rightarrow{\cal H}$ is a cocoercive operator defined on a real Hilbert space ${\cal H}$, $\lambda:[0,+\inft
Autor:
Radu Ioan Bot, Ernö Robert Csetnek
We propose in this paper a unifying scheme for several algorithms from the literature dedicated to the solving of monotone inclusion problems involving compositions with linear continuous operators in infinite dimensional Hilbert spaces. We show that
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https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8ae5c91c304cfeeb8703b1f5a67d3df1
Autor:
Radu Ioan Bot, Christopher Hendrich
Publikováno v:
TOP. 23:124-150
In this article we propose a method for solving unconstrained optimization problems with convex and Lipschitz continuous objective functions. By making use of the Moreau envelopes of the functions occurring in the objective, we smooth the latter to a
Autor:
Ernö Robert Csetnek, Radu Ioan Bot
Publikováno v:
Set-Valued and Variational Analysis. 22:313-331
We deal with monotone inclusion problems of the form 0 ∈ A x + D x + N C (x) in real Hilbert spaces, where A is a maximally monotone operator, D a cocoercive operator and C the nonempty set of zeros of another cocoercive operator. We propose a forw
Autor:
Radu Ioan Bot, Bernd Hofmann
Publikováno v:
Eurasian Journal of Mathematical and Computer Applications. 1:29-40
Tikhonov-type regularization of linear and nonlinear ill-posed problems in abstract spaces under sparsity constraints gained relevant attention in the past years. Since under some weak assumptions all regularized solutions are sparse if the ‘ 1 -no
Publikováno v:
Journal of the Korean Mathematical Society. 47:17-28
In this paper we deal with linear chance-constrained opti- mization problems, a class of problems which naturally arise in practical applications in finance, engineering, transportation and scheduling, where decisions are made in presence of uncertai