2021
DOI: 10.1080/00036811.2021.2016719
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Inertial proximal point algorithm for variational inclusion in Hadamard manifolds

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Cited by 3 publications
(3 citation statements)
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“…Variational inclusion is at the core of the modeling of many problems, such as variational inequalities [2][3][4], optimization problems [5], split problems [6][7][8][9], equilibrium problems [10], and xed point problems [11]. Variational inclusion (1) has been extended and studied in di erent ways, see [12][13][14][15][16][17][18]. An e cient way for solving (1) is the forward-backward iterate [19][20][21] de ned by…”
Section: Introductionmentioning
confidence: 99%
“…Variational inclusion is at the core of the modeling of many problems, such as variational inequalities [2][3][4], optimization problems [5], split problems [6][7][8][9], equilibrium problems [10], and xed point problems [11]. Variational inclusion (1) has been extended and studied in di erent ways, see [12][13][14][15][16][17][18]. An e cient way for solving (1) is the forward-backward iterate [19][20][21] de ned by…”
Section: Introductionmentioning
confidence: 99%
“…Recently, many convergence results by the proximal point algorithm have been extended from the classical linear spaces to the setting of manifolds; see, e.g., [1,2,3,4,7,8,9,10,11,13,15,20,21,22] and the references therein.…”
Section: Introductionmentioning
confidence: 99%
“…Recently, Chang et al [8] proposed a new algorithm and proved that the sequence generalized by the algorithm converges strongly to a common element of the set of fixed points of a quasipseudo-contractive mapping and a demi-contraction mapping and the set of zeros of monotone inclusion problems on Hadamard manifolds. At the same time, Chang et al [10] considered the inertial proximal point algorithm for finding a zero point of variational inclusions on Hadamard manifolds.…”
Section: Introductionmentioning
confidence: 99%