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FIRST AND SECOND ORDER NECESSARY OPTIMALITY CONDITIONS FOR DISCRETE OPTIMAL CONTROL PROBLEMS
, 2004
"... Abstract: Discrete optimal control problems with varying endpoints are considered. First and second order necessary optimality conditions are obtained without normality assumptions. ..."
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Abstract: Discrete optimal control problems with varying endpoints are considered. First and second order necessary optimality conditions are obtained without normality assumptions.
On InteriorPoint Newton Algorithms For Discretized Optimal Control Problems With State Constraints
 OPTIM. METHODS SOFTW
, 1998
"... In this paper we consider a class of nonlinear programming problems that arise from the discretization of optimal control problems with bounds on both the state and the control variables. For this class of problems, we analyze constraint qualifications and optimality conditions in detail. We derive ..."
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Cited by 7 (2 self)
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In this paper we consider a class of nonlinear programming problems that arise from the discretization of optimal control problems with bounds on both the state and the control variables. For this class of problems, we analyze constraint qualifications and optimality conditions in detail. We derive
Discrete Optimal Control Problem with Varying Time of States Transactions
"... of Dynamical System and Algorithm for its solving ..."
A nonsmooth Newton’s method for discretized optimal control problems with state and control constraints
 Journal of Industrial and Management Optimization
"... Abstract. We investigate a nonsmooth Newton’s method for the numerical solution of discretized optimal control problems subject to pure state constraints and mixed controlstate constraints. The infinite dimensional problem is discretized by application of a general onestep method to the different ..."
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Cited by 5 (0 self)
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Abstract. We investigate a nonsmooth Newton’s method for the numerical solution of discretized optimal control problems subject to pure state constraints and mixed controlstate constraints. The infinite dimensional problem is discretized by application of a general onestep method
Dynamic Programming Approach for Solving Discrete Optimal Control Problem and its Multicriterion Version ∗
"... Abstract. Time discrete systems determined by systems of difference equations are considered. The characterizations of their optimal trajectories with given starting and final states is studied. An algorithm based on dynamic programming technique for determining such trajectories is proposed. In add ..."
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Abstract. Time discrete systems determined by systems of difference equations are considered. The characterizations of their optimal trajectories with given starting and final states is studied. An algorithm based on dynamic programming technique for determining such trajectories is proposed
Imbedding the Multiplier in a Discretized Optimal Control Problem with real Coefficients via the Penalty and Multiplier Methods
 Journal of Mathematics and Statistics
, 2010
"... (FSA) which sidetracks the knowledge of operator, for solving quadratic optimal control problems have been computationally involving and iteratively high. Approach: Though, some of these earlier schemes developed operators consisting of complicated integrals still very difficult to evaluate. Here, o ..."
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Cited by 1 (0 self)
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(FSA) which sidetracks the knowledge of operator, for solving quadratic optimal control problems have been computationally involving and iteratively high. Approach: Though, some of these earlier schemes developed operators consisting of complicated integrals still very difficult to evaluate. Here
Detectability of Discrete Event Systems
"... In this paper, we investigate the detectability problem in discrete event systems. We assume that we do not know initially which state the system is in. The problem is to determine the current and subsequent states of the system based on a sequence of observation. The observation includes partial ev ..."
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Cited by 806 (14 self)
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In this paper, we investigate the detectability problem in discrete event systems. We assume that we do not know initially which state the system is in. The problem is to determine the current and subsequent states of the system based on a sequence of observation. The observation includes partial
Managerial Discretion and Optimal Financing Policies
 J. Finan. Econ
, 1990
"... I analyze financing policies in a firm owned by atomistic shareholders who observe neither cash flows nor management’s investment decisions. Management derives perquisites from investment and invests as much as possible. Since it always claims that cash flow is too low to fund all positive net prese ..."
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Cited by 453 (18 self)
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present value projects. its claim is not credible when cash flow is truly low. Consequently, management is forced to invest too little when cash flow is low and chooses to invest too much when it is high. Financing policies, by influencing the resources under management’s control, can reduce the costs
Approximating discrete probability distributions with dependence trees
 IEEE TRANSACTIONS ON INFORMATION THEORY
, 1968
"... A method is presented to approximate optimally an ndimensional discrete probability distribution by a product of secondorder distributions, or the distribution of the firstorder tree dependence. The problem is to find an optimum set of n1 first order dependence relationship among the n variables ..."
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Cited by 881 (0 self)
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A method is presented to approximate optimally an ndimensional discrete probability distribution by a product of secondorder distributions, or the distribution of the firstorder tree dependence. The problem is to find an optimum set of n1 first order dependence relationship among the n
Results 1  10
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28,662