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  2. P versus NP problem - Wikipedia

    en.wikipedia.org/wiki/P_versus_NP_problem

    The P versus NP problem is a major unsolved problem in theoretical computer science. Informally, it asks whether every problem whose solution can be quickly verified can also be quickly solved. Informally, it asks whether every problem whose solution can be quickly verified can also be quickly solved.

  3. NP-hardness - Wikipedia

    en.wikipedia.org/wiki/NP-hardness

    A simple example of an NP-hard problem is the subset sum problem. Informally, if H is NP-hard, then it is at least as difficult to solve as the problems in NP. However, the opposite direction is not true: some problems are undecidable, and therefore even more difficult to solve than all problems in NP, but they are probably not NP-hard (unless ...

  4. Computational hardness assumption - Wikipedia

    en.wikipedia.org/wiki/Computational_hardness...

    Hence, the Small Set Expansion Hypothesis, which postulates that SSE is hard to approximate, is a stronger (but closely related) assumption than the Unique Game Conjecture. [25] Some approximation problems are known to be SSE-hard [26] (i.e. at least as hard as approximating SSE).

  5. List of unsolved problems in computer science - Wikipedia

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

    This article is a list of notable unsolved problems in computer science. A problem in computer science is considered unsolved when no solution is known or when experts in the field disagree about proposed solutions.

  6. Hard and soft science - Wikipedia

    en.wikipedia.org/wiki/Hard_and_soft_science

    Hard science and soft science are colloquial terms used to compare scientific fields on the basis of perceived methodological rigor, exactitude, and objectivity. [ 1 ] [ 2 ] [ 3 ] In general, the formal sciences and natural sciences are considered hard science , whereas the social sciences and other sciences are described as soft science .

  7. Computer science - Wikipedia

    en.wikipedia.org/wiki/Computer_science

    Computer science is the study of computation, information, and automation. [1] [2] [3] Computer science spans theoretical disciplines (such as algorithms, theory of computation, and information theory) to applied disciplines (including the design and implementation of hardware and software).

  8. Ternary computer - Wikipedia

    en.wikipedia.org/wiki/Ternary_computer

    A ternary computer, also called trinary computer, is one that uses ternary logic (i.e., base 3) instead of the more common binary system (i.e., base 2) in its calculations. Ternary computers use trits, instead of binary bits .

  9. Philosophy of computer science - Wikipedia

    en.wikipedia.org/wiki/Philosophy_of_computer_science

    The philosophy of computer science is concerned with the philosophical questions that arise within the study of computer science.There is still no common understanding of the content, aims, focus, or topics of the philosophy of computer science, [1] despite some attempts to develop a philosophy of computer science like the philosophy of physics or the philosophy of mathematics.