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  2. Static program analysis - Wikipedia

    en.wikipedia.org/wiki/Static_program_analysis

    In computer science, static program analysis (also known as static analysis or static simulation) is the analysis of computer programs performed without executing them, in contrast with dynamic program analysis, which is performed on programs during their execution in the integrated environment. [1] [2]

  3. Static dispatch - Wikipedia

    en.wikipedia.org/wiki/Static_dispatch

    It is a form of method dispatch, which describes how a language or environment will select which implementation of a method or function to use. [1] Examples are templates in C++, and generic programming in Fortran and other languages, in conjunction with function overloading (including operator overloading).

  4. 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.

  5. Dynamic dispatch - Wikipedia

    en.wikipedia.org/wiki/Dynamic_dispatch

    In computer science, dynamic dispatch is the process of selecting which implementation of a polymorphic operation (method or function) to call at run time. It is commonly employed in, and considered a prime characteristic of, object-oriented programming (OOP) languages and systems.

  6. Dynamic program analysis - Wikipedia

    en.wikipedia.org/wiki/Dynamic_program_analysis

    Dynamic program analysis is the act of analyzing software that involves executing a program – as opposed to static program analysis, which does not execute it. Analysis can focus on different aspects of the software including but not limited to: behavior , test coverage , performance and security .

  7. Reinforcement learning - Wikipedia

    en.wikipedia.org/wiki/Reinforcement_learning

    While dynamic programming computes value functions using full knowledge of the Markov decision process (MDP), Monte Carlo methods learn these functions through sample returns. The value functions and policies interact similarly to dynamic programming to achieve optimality , first addressing the prediction problem and then extending to policy ...

  8. Static variable - Wikipedia

    en.wikipedia.org/wiki/Static_variable

    In computer programming, a static variable is a variable that has been allocated "statically", meaning that its lifetime (or "extent") is the entire run of the program. This is in contrast to shorter-lived automatic variables, whose storage is stack allocated and deallocated on the call stack; and in contrast to dynamically allocated objects, whose storage is allocated and deallocated in heap ...

  9. Multiple dispatch - Wikipedia

    en.wikipedia.org/wiki/Multiple_dispatch

    Multiple dispatch or multimethods is a feature of some programming languages in which a function or method can be dynamically dispatched based on the run-time (dynamic) type or, in the more general case, some other attribute of more than one of its arguments. [1]