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  2. Dynamic programming - Wikipedia

    en.wikipedia.org/wiki/Dynamic_programming

    Figure 1. Finding the shortest path in a graph using optimal substructure; a straight line indicates a single edge; a wavy line indicates a shortest path between the two vertices it connects (among other paths, not shown, sharing the same two vertices); the bold line is the overall shortest path from start to goal.

  3. Skeleton (computer programming) - Wikipedia

    en.wikipedia.org/wiki/Skeleton_(computer...

    ‘If’ gives the program a conditional split of tasks, where a set of skeleton code is split into two main sections. A conditional statement is given to the program, therefore giving it a specified algorithm to follow. ‘For’ operates a task a number of times, both specified by the programmer, allowing for a more efficient set of code.

  4. Quine–McCluskey algorithm - Wikipedia

    en.wikipedia.org/wiki/Quine–McCluskey_algorithm

    This expression says that the output function f will be 1 for the minterms ,,,, and (denoted by the 'm' term) and that we don't care about the output for and combinations (denoted by the 'd' term). The summation symbol ∑ {\displaystyle \sum } denotes the logical sum (logical OR, or disjunction) of all the terms being summed over.

  5. Divide-and-conquer algorithm - Wikipedia

    en.wikipedia.org/wiki/Divide-and-conquer_algorithm

    Divide-and-conquer approach to sort the list (38, 27, 43, 3, 9, 82, 10) in increasing order. Upper half: splitting into sublists; mid: a one-element list is trivially sorted; lower half: composing sorted sublists. The divide-and-conquer paradigm is often used to find an optimal solution of a problem.

  6. Declarative programming - Wikipedia

    en.wikipedia.org/wiki/Declarative_programming

    [1] Many languages that apply this style attempt to minimize or eliminate side effects by describing what the program must accomplish in terms of the problem domain, rather than describing how to accomplish it as a sequence of the programming language primitives [2] (the how being left up to the language's implementation).

  7. Anaconda (Python distribution) - Wikipedia

    en.wikipedia.org/wiki/Anaconda_(Python_distribution)

    Anaconda is a distribution of the Python and R programming languages for scientific computing (data science, machine learning applications, large-scale data processing, predictive analytics, etc.), that aims to simplify package management and deployment. Anaconda distribution includes data-science packages suitable for Windows, Linux, and macOS ...

  8. Elon Musk says the latest rejection of his mega Tesla payday ...

    www.aol.com/elon-musk-says-latest-rejection...

    Elon Musk hit out at a Delaware judge's latest rejection of his mega pay package. The Tesla CEO described the ruling as "totally crazy" and "absolute corruption." Musk and Tesla supporters ...

  9. Coroutine - Wikipedia

    en.wikipedia.org/wiki/Coroutine

    Python 2.5 implements better support for coroutine-like functionality, based on extended generators ; Python 3.3 improves this ability, by supporting delegating to a subgenerator ; Python 3.4 introduces a comprehensive asynchronous I/O framework as standardized in PEP 3156, which includes coroutines that leverage subgenerator delegation