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  2. Jump search - Wikipedia

    en.wikipedia.org/wiki/Jump_search

    In computer science, a jump search or block search refers to a search algorithm for ordered lists. It works by first checking all items L km , where k ∈ N {\displaystyle k\in \mathbb {N} } and m is the block size, until an item is found that is larger than the search key .

  3. Programming languages used in most popular websites

    en.wikipedia.org/wiki/Programming_languages_used...

    One thing the most visited websites have in common is that they are dynamic websites.Their development typically involves server-side coding, client-side coding and database technology.

  4. Jump point search - Wikipedia

    en.wikipedia.org/wiki/Jump_point_search

    In computer science, jump point search (JPS) is an optimization to the A* search algorithm for uniform-cost grids. It reduces symmetries in the search procedure by means of graph pruning, [1] eliminating certain nodes in the grid based on assumptions that can be made about the current node's neighbors, as long as certain conditions relating to the grid are satisfied.

  5. Backjumping - Wikipedia

    en.wikipedia.org/wiki/Backjumping

    Establishing whether a jump is safe is not always feasible, as safe jumps are defined in terms of the set of solutions, which is what the algorithm is trying to find. In practice, backjumping algorithms use the lowest index they can efficiently prove to be a safe jump. Different algorithms use different methods for determining whether a jump is ...

  6. Binary search - Wikipedia

    en.wikipedia.org/wiki/Binary_search

    Binary search Visualization of the binary search algorithm where 7 is the target value Class Search algorithm Data structure Array Worst-case performance O (log n) Best-case performance O (1) Average performance O (log n) Worst-case space complexity O (1) Optimal Yes In computer science, binary search, also known as half-interval search, logarithmic search, or binary chop, is a search ...

  7. Exponential search - Wikipedia

    en.wikipedia.org/wiki/Exponential_search

    Exponential search allows for searching through a sorted, unbounded list for a specified input value (the search "key"). The algorithm consists of two stages. The first stage determines a range in which the search key would reside if it were in the list. In the second stage, a binary search is performed on this range.

  8. Guido van Rossum - Wikipedia

    en.wikipedia.org/wiki/Guido_van_Rossum

    From 2005 to December 2012, Van Rossum worked at Google, where he spent half of his time developing the Python language. At Google, he developed Mondrian, a web-based code review system written in Python and used within the company. He named the software after the Dutch painter Piet Mondrian. [20]

  9. Dichotomic search - Wikipedia

    en.wikipedia.org/wiki/Dichotomic_search

    Abstractly, a dichotomic search can be viewed as following edges of an implicit binary tree structure until it reaches a leaf (a goal or final state). This creates a theoretical tradeoff between the number of possible states and the running time: given k comparisons, the algorithm can only reach O(2 k ) possible states and/or possible goals.