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  2. List of unsolved problems in computer science - Wikipedia

    en.wikipedia.org/wiki/List_of_unsolved_problems...

    Open problems around exact algorithms by Gerhard J. Woeginger, Discrete Applied Mathematics 156 (2008) 397–405. The RTA list of open problems – open problems in rewriting. The TLCA List of Open Problems – open problems in area typed lambda calculus

  3. AoS and SoA - Wikipedia

    en.wikipedia.org/wiki/AOS_and_SOA

    Structure of arrays (SoA) is a layout separating elements of a record (or 'struct' in the C programming language) into one parallel array per field. [1] The motivation is easier manipulation with packed SIMD instructions in most instruction set architectures, since a single SIMD register can load homogeneous data, possibly transferred by a wide internal datapath (e.g. 128-bit).

  4. struct (C programming language) - Wikipedia

    en.wikipedia.org/wiki/Struct_(C_programming...

    In the C programming language, struct is the keyword used to define a composite, a.k.a. record, data type – a named set of values that occupy a block of memory. It allows for the different values to be accessed via a single identifier, often a pointer.

  5. Khan Academy - Wikipedia

    en.wikipedia.org/wiki/Khan_Academy

    Khan Academy is a 501(c)(3) non-profit organization, mostly funded by donations from philanthropic organizations. [14] On its IRS form 990 , the organization reported $31 million in revenues in 2018 and $28 million in 2019, including $839,000 in 2019 compensation for Khan as CEO.

  6. List of data structures - Wikipedia

    en.wikipedia.org/wiki/List_of_data_structures

    This is a list of well-known data structures. For a wider list of terms, see list of terms relating to algorithms and data structures. For a comparison of running times for a subset of this list see comparison of data structures.

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  8. Disjoint-set data structure - Wikipedia

    en.wikipedia.org/wiki/Disjoint-set_data_structure

    In computer science, a disjoint-set data structure, also called a union–find data structure or merge–find set, is a data structure that stores a collection of disjoint (non-overlapping) sets. Equivalently, it stores a partition of a set into disjoint subsets .

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