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An inexact proximal point method for variational inequality on Hadamard manifolds
Optimization and Control · Submitted 3 Mar 2021
abstract compiled · 2026-09-23 · no language-model review
The authors' main claim In this paper we present an inexact proximal point method for variational inequality problem on Hadamard manifolds and study its convergence properties.
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The abstract, sentence by sentence
In this paper we present an inexact proximal point method for variational inequality problem on Hadamard manifolds and study its convergence properties. The proposed algorithm is inexact in two sense. First, each proximal subproblem is approximated by using the enlargement of the vector field in consideration and then the next iterated is obtained by solving this subproblem allowing a suitable error tolerance. As an application, we obtain an inexact proximal point method for constrained optimization problems, equilibrium problems and nonlinear optimization problems on Hadamard manifolds.
background contribution method result interpretation main claim
| # | sentence | role | the authors' own work | states the main conclusion | strength |
|---|---|---|---|---|---|
| s0 | In this paper we present an inexact proximal point method for variational inequality problem on Hadamard manifolds and study its convergence properties. | contribution 1.00 | 0.93 | 0.23 | asserted 1.00 |
| s1 | The proposed algorithm is inexact in two sense. | method 0.76 | 0.82 | 0.04 | asserted 1.00 |
| s2 | First, each proximal subproblem is approximated by using the enlargement of the vector field in consideration and then the next iterated is obtained by solving this subproblem allowing a suitable error tolerance. | method 1.00 | 0.88 | 0.06 | asserted 1.00 |
| s3 | As an application, we obtain an inexact proximal point method for constrained optimization problems, equilibrium problems and nonlinear optimization problems on Hadamard manifolds. | contribution 0.75 | 0.93 | 0.16 | asserted 1.00 |
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The paper
Original abstract
In this paper we present an inexact proximal point method for variational inequality problem on Hadamard manifolds and study its convergence properties. The proposed algorithm is inexact in two sense. First, each proximal subproblem is approximated by using the enlargement of the vector field in consideration and then the next iterated is obtained by solving this subproblem allowing a suitable error tolerance. As an application, we obtain an inexact proximal point method for constrained optimization problems, equilibrium problems and nonlinear optimization problems on Hadamard manifolds.
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How the literature uses it
1 arXiv paper cite this in 2 sentences
Papers whose main result relates to this one's
States the same result 1 paper
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In this paper an inexact proximal point method for variational inequalities in Hadamard manifolds is introduced and studied its convergence properties.
Papers citing it
Compares with it 1 paper
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In contrast, the previously mentioned works [ref] , treat Riemannian min-max problems over compact sets and and explicitly enforce that the iterates stay inside these.
Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties · Related Work · 0.91
Cites it as background 1 paper
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The algorithms presented in these works are variations of the inexact proximal point algorithm [ref] and the algorithm [ref] and come with asymptotic convergence guarantees.
Accelerated Methods for Riemannian Min-Max Optimization Ensuring Bounded Geometric Penalties · Related Work · 0.86
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