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  2. A* search algorithm - Wikipedia

    en.wikipedia.org/wiki/A*_search_algorithm

    Dijkstra's algorithm, as another example of a uniform-cost search algorithm, can be viewed as a special case of A* where ⁠ = ⁠ for all x. [ 12 ] [ 13 ] General depth-first search can be implemented using A* by considering that there is a global counter C initialized with a very large value.

  3. Shunting yard algorithm - Wikipedia

    en.wikipedia.org/wiki/Shunting_yard_algorithm

    The result for the above examples would be (in reverse Polish notation) "3 4 +" and "3 4 2 1 − × +", respectively. The shunting yard algorithm will correctly parse all valid infix expressions, but does not reject all invalid expressions. For example, "1 2 +" is not a valid infix expression, but would be parsed as "1 + 2". The algorithm can ...

  4. Deutsch–Jozsa algorithm - Wikipedia

    en.wikipedia.org/wiki/Deutsch–Jozsa_algorithm

    Below is a simple example of how the Deutsch–Jozsa algorithm can be implemented in Python using Qiskit, an open-source quantum computing software development framework by IBM. We will walk through each part of the code step by step to show how it translates the theory into a working quantum circuit.

  5. Nested sampling algorithm - Wikipedia

    en.wikipedia.org/wiki/Nested_sampling_algorithm

    A NestedSampler is part of the Python toolbox BayesicFitting [9] for generic model fitting and evidence calculation. It is available on GitHub. An implementation in C++, named DIAMONDS, is on GitHub. A highly modular Python parallel example for statistical physics and condensed matter physics uses is on GitHub.

  6. Bernstein–Vazirani algorithm - Wikipedia

    en.wikipedia.org/wiki/Bernstein–Vazirani_algorithm

    Below is a simple example of how the Bernstein–Vazirani algorithm can be implemented in Python using Qiskit (version 1.3), an open-source quantum computing software development framework by IBM. We will walk through each part of the code step by step to show how it translates the theory into a working quantum circuit.

  7. Timsort - Wikipedia

    en.wikipedia.org/wiki/Timsort

    Timsort is a hybrid, stable sorting algorithm, derived from merge sort and insertion sort, designed to perform well on many kinds of real-world data.It was implemented by Tim Peters in 2002 for use in the Python programming language.

  8. Bubble sort - Wikipedia

    en.wikipedia.org/wiki/Bubble_sort

    For example, it is used in a polygon filling algorithm, where bounding lines are sorted by their x coordinate at a specific scan line (a line parallel to the x axis) and with incrementing y their order changes (two elements are swapped) only at intersections of two lines. Bubble sort is a stable sort algorithm, like insertion sort.

  9. Fletcher's checksum - Wikipedia

    en.wikipedia.org/wiki/Fletcher's_checksum

    A modulus of 255 is used above and in examples below for Fletcher-16, however some real-world implementations use 256. The TCP protocol's alternate checksum has Fletcher-16 with a 256 modulus, [3] as do the checksums of UBX-* messages from a U-blox GPS. [4] Which modulus is used is dependent on the implementation.