Results 101 to 110 of about 21,184 (145)
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, 1990
The logical structure of this chapter is represented in Figures 32.1 and 32.2. The key to our approach is the main theorem on pseudomonotone perturbations of maximal monotone mappings due to Browder (1968) (Theorem 32. A in Section 32.4). This theorem will be proved via the Galerkin method.
E. Zeidler
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The logical structure of this chapter is represented in Figures 32.1 and 32.2. The key to our approach is the main theorem on pseudomonotone perturbations of maximal monotone mappings due to Browder (1968) (Theorem 32. A in Section 32.4). This theorem will be proved via the Galerkin method.
E. Zeidler
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Differential Inclusions with Maximal Monotone Maps
, 1984We devote this chapter to a very important class of differential inclusions $$x'\left( t \right) \in - A\left( {x\left( t \right)} \right)$$ (1) where A(x) ≐ −F(x)is a so-called “maximal monotone” set-valued map.
J. Aubin, A. Cellina
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A Modified Forward-Backward Splitting Method for Maximal Monotone Mappings
SIAM Journal on Control and Optimization, 2000Summary: We consider the forward-backward splitting method for finding a zero of the sum of two maximal monotone mappings. This method is known to converge when the inverse of the forward mapping is strongly monotone. We propose a modification to this method, in the spirit of the extragradient method for monotone variational inequalities, under which ...
Paul Tseng
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Non-convex perturbations of maximal monotone differential inclusions
Israel Journal of Mathematics, 1983A. Cellina, M. Marchi
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Proceedings of the Edinburgh Mathematical Society, 2018
Let E be a uniformly convex and uniformly smooth real Banach space, and let E* be its dual. Let A : E → 2E* be a bounded maximal monotone map. Assume that A−1(0) ≠ Ø. A new iterative sequence is constructed which converges strongly to an element of A−1(0)
C. E. Chidume +4 more
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Let E be a uniformly convex and uniformly smooth real Banach space, and let E* be its dual. Let A : E → 2E* be a bounded maximal monotone map. Assume that A−1(0) ≠ Ø. A new iterative sequence is constructed which converges strongly to an element of A−1(0)
C. E. Chidume +4 more
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Forum mathematicum, 2023
We study the Moore–Penrose inverse of perturbations by a proper symmetrically-normed ideal of a closed range operator on a Hilbert space. We show that the notion of essential codimension of projections gives a characterization of subsets of such ...
E. Chiumiento, Pedro Massey
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We study the Moore–Penrose inverse of perturbations by a proper symmetrically-normed ideal of a closed range operator on a Hilbert space. We show that the notion of essential codimension of projections gives a characterization of subsets of such ...
E. Chiumiento, Pedro Massey
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On the homotopy property of topological degree for maximal monotone mappings
Applied Mathematics and Computation, 2009The purpose of the present paper is to study a homotopy property of the degree for maximal monotone mappings, and fill the lack of this important property in one of the papers of the first author [Appl.\ Math.\ Mech., Engl.\ Ed.\ 11, No.\,5, 441--454 (1990; Zbl 0895.47044)].
Yuqing Chen, Donal O'Regan
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The surjectivity of semiregular maximal monotone random mappings
rose, 2002Let \(\Omega\) be a complete measurable space with a \(\sigma\)-algebra \(\Sigma\) and let \(X\) be a Banach space with its dual \(X^*\). Let \(D\) be a subset of \(X\). A mapping \(A: D\to X^*\) is called 1) monotone if \(\langle Ax-Ay,x-y \rangle\geq 0,\forall x,y\in D\); 2) maximal monotone if \(A\) is monotone and from \((x_0,x_0^*)\in X\times X^*,\
Chuong, Nguyen Minh, Thuan, Nguyen Xuan
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Applied Mathematics and Computation, 2011
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Yongfu Su, Mengqin Li, Hong Zhang
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Yongfu Su, Mengqin Li, Hong Zhang
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