Krause mean processes generated by off-diagonally uniformly positive nonautonomous stochastic hyper-matrices

DOI10.1007/978-3-031-51049-6_14MaRDI QIDQ6616688

Khikmat Saburov, Mansoor Saburov

Publication date: 9 October 2024

zbMATH Keywords

multi-agent systemconsensuspolynomial operatorKrause mean processstochastic hyper-matrix

Mathematics Subject Classification ID

Social networks; opinion dynamics (91D30) Stochastic systems in control theory (general) (93E03) Stochastic matrices (15B51) Multi-agent systems (93A16)

Cites Work

• Title not available (Why is that?)
• Title not available (Why is that?)
• Title not available (Why is that?)
• Title not available (Why is that?)
• Title not available (Why is that?)
• Title not available (Why is that?)
• Title not available (Why is that?)
• Title not available (Why is that?)
• Counterexamples to the conjecture on stationary probability vectors of the second-order Markov chains
• Markov chains, Gauss soups, and compromise dynamics
• Positive dynamical systems in discrete time. Theory, models and applications
• On the mixing property and the ergodic principle for nonhomogeneous Markov chains
• On regularity of diagonally positive quadratic doubly stochastic operators
• Analytic methods in the theory of quadric stochastic operators
• Compromise, consensus, and the iteration of means
• Opinion dynamics driven by various ways of averaging
• Non-negative matrices and Markov chains. 2nd ed
• On stochastic processes generated by quadric operators
• On regularity of positive quadratic doubly stochastic operators
• Reaching consensus via polynomial stochastic operators: A general study
• The mixture transition distribution model for high-order Markov chains and non-Gaussian time series
• Reaching a consensus via Krause mean processes in multi-agent systems: quadratic stochastic operators
• Ergodicity of $p$-majorizing nonlinear Markov operators on the finite dimensional space
• On the ergodic principle for Markov and quadratic stochastic processes and its relations
• Ergodicity of nonlinear Markov operators on the finite dimensional space
• A discrete nonlinear and non-autonomous model of consensus formation
• Reaching a consensus: a discrete nonlinear time-varying case
• Product of Random Stochastic Matrices
• QUADRATIC STOCHASTIC OPERATORS AND PROCESSES: RESULTS AND OPEN PROBLEMS
• Discrete leader-following consensus
• Distributed asynchronous deterministic and stochastic gradient optimization algorithms
• A Necessary and Sufficient Condition for Reaching a Consensus Using DeGroot's Method
• Quadratic transformations: a model for population growth. I
• Towards consensus: some convergence theorems on repeated averaging
• " The structure of the fixed point set of quadratic operators on the simplex"
• Mathematical Models of Nonlinear Uniform Consensus II
• Reaching a Consensus
• The discrete‐time Kolmogorov systems with historic behavior
• Coordination of groups of mobile autonomous agents using nearest neighbor rules
• Stability of multiagent systems with time-dependent communication links
• Krause's model of opinion dynamics on isolated time scales
• Solution of a Mathematical Problem Connected with the Theory of Heredity

This page was built for publication: Krause mean processes generated by off-diagonally uniformly positive nonautonomous stochastic hyper-matrices

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6616688)