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Titlebook: Optimal Control Theory; Applications to Mana Suresh P. Sethi Textbook 2021Latest edition Springer Nature Switzerland AG 2021 Optimization.S

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The Maximum Principle: Continuous Time,nts on the control variables. The method of dynamic programming is used to derive the maximum principle and it yields significant economic interpretations of the adjoint variables and the transversality conditions introduced during the derivation. The maximum principle is then applied to solve some
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The Maximum Principle: Mixed Inequality Constraints,r models in which there are mixed constraints involving both state and control variables in addition to constraints only on control variables. In Sect. 3.2, we state conditions under which the Lagrangian maximum principle is also sufficient for optimality. Economists frequently analyze optimal contr
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Applications to Production and Inventory,imilar to the classic HMMS model is formulated as an optimal control problem that must balance the benefits of production smoothing versus the costs of holding inventory theory to minimize the total discounted system cost. The problem is completely solved using the maximum principle. The turnpike so
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The Maximum Principle: Discrete Time, theory problem using a computer. It is also desirable, even when solving small problems that have state or adjoint differential equations whose solutions cannot be expressed in closed form, to formulate them as discrete problems and solve them on a computer in a stepwise manner. This chapter is dev
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Applications to Natural Resources, optimal management and utilization of natural resources are becoming increasingly important. There are two main kinds of natural resource models: those involving renewable resources such as fish, food, timber, etc., and those involving nonrenewable or exhaustible resources such as petroleum, minera
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