An approximate solution of a differential inclusion with maximal monotone operator
The theory of differential inclusions has played a central role in many areas as biological systems, physical problems and population dynamics. The principle aim of our work is to compute explicitly the discrete approximate solution of a differential ...
Abdallah Beddani
doaj +2 more sources
A Hybrid Iterative Scheme for a Maximal Monotone Operator and Two Countable Families of Relatively Quasi-Nonexpansive Mappings for Generalized Mixed Equilibrium and Variational Inequality Problems [PDF]
We introduce a new hybrid iterative scheme for finding a common element of the set of common fixed points of two countable families of relatively quasi-nonexpansive mappings, the set of the variational inequality for an α-inverse-strongly monotone ...
Siwaporn Saewan, Poom Kumam
doaj +2 more sources
Maximality Theorems on the Sum of Two Maximal Monotone Operators and Application to Variational Inequality Problems [PDF]
Let X be a real locally uniformly convex reflexive Banach space with locally uniformly convex dual space X⁎. Let T:X⊇D(T)→2X⁎ and A:X⊇D(A)→2X⁎ be maximal monotone operators.
Teffera M. Asfaw
doaj +2 more sources
Optimal Control of Plasticity with Inertia [PDF]
The paper is concerned with an optimal control problem governed by the equations of elasto plasticity with linear kinematic hardening and the inertia term at small strain.
Stephan Walther
doaj +1 more source
Maximality of the Sum of a Maximally Monotone Linear Relation and a Maximally Monotone Operator [PDF]
16 pages.
Borwein, Jonathan M., Yao, Liangjin
openaire +3 more sources
Nontrivial solutions of inclusions involving perturbed maximal monotone operators
Let X be a real reflexive Banach space and $X^*$ its dual space. Let $L: X\supset D(L)\to X^*$ be a densely defined linear maximal monotone operator, and $T:X\supset D(T)\to 2^{X^*}$, $0\in D(T)$ and $0\in T(0)$, be strongly quasibounded maximal ...
Dhruba R. Adhikari
doaj +1 more source
Learning Maximally Monotone Operators for Image Recovery [PDF]
We introduce a new paradigm for solving regularized variational problems. These are typically formulated to address ill-posed inverse problems encountered in signal and image processing. The objective function is traditionally defined by adding a regularization function to a data fit term, which is subsequently minimized by using iterative optimization
Jean-Christophe Pesquet +3 more
openaire +4 more sources
Representable Monotone Operators and Limits of Sequences of Maximal Monotone Operators [PDF]
We show that the lower limit of a sequence of maximal monotone operators on a reflexive Banach space is a representable monotone operator. As a consequence, we obtain that the variational sum of maximal monotone operators and the variational composition of a maximal monotone operator with a linear continuous operator are both representable monotone ...
García, Yboon, Lassonde, Marc
openaire +2 more sources
Maximal monotone operators with non-maximal graphical limit
We present a counterexample showing that the graphical limit of maximally monotone operators might not be maximally monotone. We also characterize the directional differentiability of the resolvent of an operator B in terms of existence and maximal ...
Gerd Wachsmuth
doaj +1 more source
On the maximal monotonicity and the range of the sum of nonlinear maximal monotone operators [PDF]
Conditions are given on two maximal monotone (multivalued) operators A and B which ensure that A + B is also maximal. One condition used is that ∥Bx∥≦k(∥x∥)Ax| +d|(A + B)x| + c(∥x∥) for every x∈D(A)⊆D(B), where 0≦k(r)<1, and c(r)≧0 are nondecreasing functions, and 0≦d≦1 is a constant. Here, for a set C, |C| denotes inf{∥y∥:y∈C}.
Webb, J. R. L., Zhao, Weiyu
openaire +2 more sources

