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The Dynamic Contraction Method is presented where derivative state vector feedback is used.
So, in the following, we propose a primal-dual-based contraction method for problem (2).
In order to tackle the problem, a new contraction method on non-dominance area is proposed to rank solutions.
In the paper the design of an aircraft flight controller based on the Dynamic Contraction Method is presented.
In particular, we designed an efficient implementation of the MRHSD method based on the approximate projection contraction method.
Note that it is very difficult to compute the examples using the extended contraction method [12] when C is asymmetric.
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Convergence results easily follow from proximal point algorithm-like contraction methods [7] and VI approach [19].
We prove the convergence of the proposed frame from the perspective of proximal point algorithm-like contraction methods and variational inequalities approach.
In the following, using proximal point algorithm-like contraction methods for convex optimization [19], the convergence rate in the ergodic and nonergodic senses is given.
Reaction graph contraction methods such as Clarke's [ 26] replace the reactions mechanism by simpler mechanisms in which some intermediate species are absent.
We introduce a class of projection-contraction methods for solving a class of general random implicit quasi-variational inequalities with random multivalued mappings in Hilbert spaces, construct some random iterative algorithms, and give some existence theorems of random solutions for this class of general random implicit quasi-variational inequalities.
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