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  2. Dynamic programming - Wikipedia

    en.wikipedia.org/wiki/Dynamic_programming

    From a dynamic programming point of view, Dijkstra's algorithm for the shortest path problem is a successive approximation scheme that solves the dynamic programming functional equation for the shortest path problem by the Reaching method.

  3. Dynamic programming language - Wikipedia

    en.wikipedia.org/wiki/Dynamic_programming_language

    A dynamic programming language is a type of programming language which allows various operations to be determined and executed at runtime. This is different from the compilation phase. Key decisions about variables, method calls, or data types are made when the program is running, unlike in static languages, where the structure and types are ...

  4. Bellman equation - Wikipedia

    en.wikipedia.org/wiki/Bellman_equation

    A Bellman equation, named after Richard E. Bellman, is a necessary condition for optimality associated with the mathematical optimization method known as dynamic programming. [1] It writes the "value" of a decision problem at a certain point in time in terms of the payoff from some initial choices and the "value" of the remaining decision ...

  5. Dynamic web page - Wikipedia

    en.wikipedia.org/wiki/Dynamic_web_page

    A dynamic web page is a web page constructed at runtime (during software execution), as opposed to a static web page, delivered as it is stored. A server-side dynamic web page is a web page whose construction is controlled by an application server processing server-side scripts. [1] In server-side scripting, parameters determine how the ...

  6. Differential dynamic programming - Wikipedia

    en.wikipedia.org/wiki/Differential_Dynamic...

    Differential dynamic programming (DDP) is an optimal control algorithm of the trajectory optimization class. The algorithm was introduced in 1966 by Mayne [1] and subsequently analysed in Jacobson and Mayne's eponymous book. [2] The algorithm uses locally-quadratic models of the dynamics and cost functions, and displays quadratic convergence.

  7. Stochastic dynamic programming - Wikipedia

    en.wikipedia.org/wiki/Stochastic_dynamic_programming

    Stochastic dynamic programming. Originally introduced by Richard E. Bellman in (Bellman 1957), stochastic dynamic programming is a technique for modelling and solving problems of decision making under uncertainty. Closely related to stochastic programming and dynamic programming, stochastic dynamic programming represents the problem under ...

  8. Object-oriented programming - Wikipedia

    en.wikipedia.org/wiki/Object-oriented_programming

    Object-oriented programming (OOP) is a programming paradigm based on the concept of objects, [ 1 ] which can contain data and code: data in the form of fields (often known as attributes or properties), and code in the form of procedures (often known as methods).

  9. Greedy algorithm - Wikipedia

    en.wikipedia.org/wiki/Greedy_algorithm

    The coin of the highest value, less than the remaining change owed, is the local optimum. (In general, the change-making problem requires dynamic programming to find an optimal solution; however, most currency systems are special cases where the greedy strategy does find an optimal solution.)