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Titlebook: Dynamic Programming; Applications to Agri John O. S. Kennedy Book 1986 Elsevier Applied Science Publishers Ltd 1986 attribute.coding.contro

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楼主: T-cell
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978-94-010-8362-1Elsevier Applied Science Publishers Ltd 1986
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Gunther Hirschfelder,Barbara Wittmann B.A. is valid for any problem for which Bellman’s Principle of Optimality holds. The necessary structure and properties of a dynamic programming problem are discussed. The process of backward recursion is illustrated in the solution of two problems by compiling solution tables. The way in which the gene
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Gunther Hirschfelder,Barbara Wittmann B.A.nty. Deterministic formulations of dynamic programming problems are satisfactory if the uncertainty is sufficiently low or if a certainty-equivalent problem exists. Otherwise, a stochastic formulation is required. The formulation and solution of stochastic problems are explained in Section 3.1.
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https://doi.org/10.1007/978-3-658-01465-0sions to the basic framework of various kinds. Some extensions which may be useful in the context of managing agricultural and natural resources are introduced in this chapter. The aim is to provide some insight into the formulation and application of the extensions, rather than to treat each topic
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Bernhard Weller,Stefan Reich,Jan WünschIt also depends on many controllable events such as the timing and density of planting, the timing of harvesting and the timing and amount of maintenance inputs. Maintenance inputs include water for irrigation and soil leaching, pesticides, herbicides and fertilizers.
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Aussteifung von Bauwerken und Baudynamik, is an optimal replacement problem, similar to that encountered in livestock management. However, just as in the production of livestock for meat, there may be other management decisions taken between replacement decisions which affect final biomass at replacement. In the case of livestock productio
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