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Value function

The value function of an optimization problem gives the value attained by the objective function at a solution, while only depending on the parameters of the problem. In a controlled dynamical system, the value function represents the optimal payoff of the system over the interval [ t , t 1 ] {\displaystyle } when started at the time- t {\displaystyle t}…

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Value function

Nodes24
Edges23
Triples40
Avg. degree1.92
Density0.083333
Components1

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Value function

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related to Further reading · 39
Value function → Applications, Barney, Cambridge University Press, Caputo, Clarke, Conditions, Control, Controllability, Dover, Dwayne, Dynamic Economic Analysis, Dynamic Optimization, Economic Dynamics, Estimation, Foundations, Frank, ISBN, Isoperimetric Problems, Jeffrey, Journal
is a · 1
Value function → unique viscosity solution to the Hamilton

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function value optimal displaystyle control state problem objective gives equation optimization economic new solution system represents variable defined set admissible

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SubjectPredicateObjectConfidenceSrc
Value functionis aunique viscosity solution to the Hamilton0.90text
Value functionrelated to Further readingCaputo0.60section
Value functionrelated to Further readingMichael0.60section
Value functionrelated to Further readingNecessary0.60section
Value functionrelated to Further readingSufficient Conditions0.60section
Value functionrelated to Further readingIsoperimetric Problems0.60section
Value functionrelated to Further readingFoundations0.60section
Value functionrelated to Further readingDynamic Economic Analysis0.60section
Value functionrelated to Further readingOptimal Control Theory0.60section
Value functionrelated to Further readingApplications0.60section
Value functionrelated to Further readingNew York0.60section
Value functionrelated to Further readingCambridge University Press0.60section

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