An iteration method for nonexpansive mappings in Hilbert spaces.
On a generalized discrete ratio-dependent predator-prey system.
Strong convergence of an implicit iteration process for two asymptotically nonexpansive mappings in Banach spaces.
Periodic solutions and stability for a delayed discrete ratio-dependent predator-prey system with Holling-type functional response.
Permanence for a discrete model with feedback control and delay.
Erratum for higher-order weakly generalized adjacent epiderivatives and applications to duality of set-valued optimization.
Hybrid iteration method for common fixed points of a finite family of nonexpansive mappings in Banach spaces.
Existence and global stability of positive periodic solutions of a discrete predator-prey system with delays.
Production Inventory Policy Under a Discounted Cash Flow
A Production Inventory Model for Variable Demand and Production
Turán's problem and Ramsey numbers for trees
Let T¹ₙ = (V,E₁) and T²ₙ = (V,E₂) be the trees on n vertices with , and . For p ≥ n ≥ 5 we obtain explicit formulas for ex(p;T¹ₙ) and ex(p;T²ₙ), where ex(p;L) denotes the maximal number of edges in a graph of order p not containing L as a subgraph. Let r(G₁,G₂) be the Ramsey number of the two graphs G₁ and G₂. We also obtain some explicit formulas for , where i ∈ 1,2 and Tₘ is a tree on m vertices with Δ(Tₘ) ≤ m - 3.
The dynamic behaviors of a new impulsive predator prey model with impulsive control at different fixed moments
In this paper, we propose a new impulsive predator prey model with impulsive control at different fixed moments and analyze its interesting dynamic behaviors. Sufficient conditions for the globally asymptotical stability of the semi-trivial periodic solution and the permanence of the present model are obtained by Floquet theory of impulsive differential equation and small amplitude perturbation skills. Existences of the "infection-free" periodic solution and the "predator-free" solution are analyzed...
Stability analysis and absolute synchronization of a three-unit delayed neural network
In this paper, we consider a three-unit delayed neural network system, investigate the linear stability, and obtain some sufficient conditions ensuring the absolute synchronization of the system by the Lyapunov function. Numerical simulations show that the theoretically predicted results are in excellent agreement with the numerically observed behavior.
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