Titlebook: Analysis, Controllability and Optimization of Time-Discrete Systems and Dynamical Games; Werner Krabs,Stefan Wolfgang Pickl,M. Beckmann,H.

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Policy Learning for Disaster Risk Reduction ..: ?. → ?. and has at his disposal a control vector function ..: ?. → ?. which are dynamically coupled by a system of difference equations . where .(.) = (..(.).,…, ..(.).)., .(.) = (..(.).,…, ..(.).)., and .. ∈ .(?. x ?., ?.), . = 1,…,., with .

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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 ?. with a norm (e.g. the .) and define a flow . by . for all . ∈ . and . ∈ ?, and

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Controllability and Optimization, ..: ?. → ?. and has at his disposal a control vector function ..: ?. → ?. which are dynamically coupled by a system of difference equations . where .(.) = (..(.).,…, ..(.).)., .(.) = (..(.).,…, ..(.).)., and .. ∈ .(?. x ?., ?.), . = 1,…,., with .

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Policy Learning for Disaster Risk ReductionWe begin with a system of difference equations of the form . where .: ?. x ?. → ?. is a continuous mapping.

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Controlled Systems,We begin with a system of difference equations of the form . where .: ?. x ?. → ?. is a continuous mapping.

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Analysis, Controllability and Optimization of Time-Discrete Systems and Dynamical Games

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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

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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