摄取 发表于 2025-3-23 12:12:37
http://reply.papertrans.cn/16/1565/156491/156491_11.pnggeriatrician 发表于 2025-3-23 16:01:22
Policy Learning for Disaster Risk Reduction ..: ℕ. → ℝ. and has at his disposal a control vector function ..: ℕ. → ℝ. which are dynamically coupled by a system of difference equations . where .(.) = (..(.).,…, ..(.).)., .(.) = (..(.).,…, ..(.).)., and .. ∈ .(ℝ. x ℝ., ℝ.), . = 1,…,., with .肥料 发表于 2025-3-23 18:44:57
Uncontrolled Systems,form . where . is a given initial state in a non-empty subset . and . is a given continuous mapping. By (1.1) and (1.2) a time-discrete dynamical system . is defined, if we equip ℝ. with a norm (e.g. the .) and define a flow . by . for all . ∈ . and . ∈ ℕ, andRecess 发表于 2025-3-24 00:28:02
Controllability and Optimization, ..: ℕ. → ℝ. and has at his disposal a control vector function ..: ℕ. → ℝ. which are dynamically coupled by a system of difference equations . where .(.) = (..(.).,…, ..(.).)., .(.) = (..(.).,…, ..(.).)., and .. ∈ .(ℝ. x ℝ., ℝ.), . = 1,…,., with .昏睡中 发表于 2025-3-24 06:10:16
Policy Learning for Disaster Risk ReductionWe begin with a system of difference equations of the form . where .: ℝ. x ℝ. → ℝ. is a continuous mapping.Solace 发表于 2025-3-24 07:14:14
Controlled Systems,We begin with a system of difference equations of the form . where .: ℝ. x ℝ. → ℝ. is a continuous mapping.probate 发表于 2025-3-24 14:36:32
Analysis, Controllability and Optimization of Time-Discrete Systems and Dynamical Games失眠症 发表于 2025-3-24 17:05:54
http://reply.papertrans.cn/16/1565/156491/156491_18.png引水渠 发表于 2025-3-24 21:51:44
0075-8442 based on a 2 x 2-system of first order differential equations for the densities of the prey and predator population, respectively. This model has also been inve978-3-540-40327-2978-3-642-18973-9Series ISSN 0075-8442 Series E-ISSN 2196-9957烦躁的女人 发表于 2025-3-25 02:18:02
Book 2003s fields illustrate these results. We start with the classical predator-prey-model as being developed and investigated by Volterra which is based on a 2 x 2-system of first order differential equations for the densities of the prey and predator population, respectively. This model has also been inve