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Everything about Value function

Maximized objective function of an optimization problem

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 when started at the time- state variable. If the objective function represents some cost that is to be minimized, the value function can be interpreted as the cost to finish the optimal program, and is thus referred to as "cost-to-go function." In an economic context, where the objective function usually represents utility, the value function is conceptually equivalent to the indirect utility function. Wikipedia →

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  2. Skim a recent paper: Function and therapeutic value of astrocytes in neurological diseasesInfluential work since 2022
  3. Pick up a classic book: Neuere Untersuchungen über eindeutige analytische FunktionenThe most-reprinted book on the subject
  4. Read the landmark paper: Multi-ethnic reference values for spirometry for the 3–95-yr age range: the global lung function 2012 equationsCited 5,568 times
  5. Go sideways: Hamiltonian (control theory)A closely related topic
  6. Go sideways: Optimal controlA closely related topic

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