Abstract Dense networks with weighted connections often exhibit a community-like structure, where although most nodes are connected to each other, different patterns of edge weights may emerge depending on node’s community membership. We propose new framework for generating and estimating dense potentially connectivity across communities. The proposed model relies particular class functions whi...

this paper presents a new mathematical model for a bi-objective job shop scheduling problem with sequence-dependent setup times that minimizes the weighted mean completion time and the weighted mean tardiness time. for solving this multi-objective model, we develop a fuzzy multi-objective linear programming (fmolp) model. in this problem, a proposed fmolp method is applied with respect to the o...

In this paper, we introduce a weighted l2/l1 minimization to recover block sparse signals with arbitrary prior support information. When partial prior support information is available, a sufficient condition based on the high order block RIP is derived to guarantee stable and robust recovery of block sparse signals via the weighted l2/l1 minimization. We then show if the accuracy of arbitrary p...

Abstract Consider the space of weighted binomial matrices in Nakano sequence soft functions. We have offered some geometric and topological structures multiplication operator acting on this its associated ideal. The existence a fixed point Kannan contraction prequasioperator ideal is confirmed. Finally, we discuss many applications solutions to nonlinear stochastic dynamical matrix systems illu...

This paper introduces an implicit scheme for a   continuous representation of nonexpansive mappings on a closed convex subset of a Hilbert space with respect to a   sequence of invariant means defined on an appropriate space of bounded, continuous real valued functions of the semigroup.   The main result is to    prove the strong convergence of the proposed implicit scheme to the unique solutio...