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  2. Computational complexity - Wikipedia

    en.wikipedia.org/wiki/Computational_complexity

    In computer science, the computational complexity or simply complexity of an algorithm is the amount of resources required to run it. [1] Particular focus is given to computation time (generally measured by the number of needed elementary operations) and memory storage requirements.

  3. Limits of computation - Wikipedia

    en.wikipedia.org/wiki/Limits_of_computation

    In the field of theoretical computer science the computability and complexity of computational problems are often sought-after. Computability theory describes the degree to which problems are computable, whereas complexity theory describes the asymptotic degree of resource consumption.

  4. Computational complexity theory - Wikipedia

    en.wikipedia.org/wiki/Computational_complexity...

    In theoretical computer science and mathematics, computational complexity theory focuses on classifying computational problems according to their resource usage, and explores the relationships between these classifications. A computational problem is a task solved by a computer.

  5. Thrashing (computer science) - Wikipedia

    en.wikipedia.org/wiki/Thrashing_(computer_science)

    In computer science, thrashing occurs in a system with virtual memory when a computer's real storage resources are overcommitted, leading to a constant state of paging and page faults, slowing most application-level processing. [1] This causes the performance of the computer to degrade or even collapse. The situation can continue indefinitely ...

  6. 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.

  7. Halting problem - Wikipedia

    en.wikipedia.org/wiki/Halting_problem

    The halting problem is a decision problem about properties of computer programs on a fixed Turing-complete model of computation, i.e., all programs that can be written in some given programming language that is general enough to be equivalent to a Turing machine. The problem is to determine, given a program and an input to the program, whether ...

  8. Complexity class - Wikipedia

    en.wikipedia.org/wiki/Complexity_class

    The most commonly analyzed problems in theoretical computer science are decision problems—the kinds of problems that can be posed as yes–no questions. The primality example above, for instance, is an example of a decision problem as it can be represented by the yes–no question "is the natural number n {\displaystyle n} prime ".

  9. Memory leak - Wikipedia

    en.wikipedia.org/wiki/Memory_leak

    In computer science, a memory leak is a type of resource leak that occurs when a computer program incorrectly manages memory allocations [1] in a way that memory which is no longer needed is not released. A memory leak may also happen when an object is stored in memory but cannot be accessed by the running code (i.e. unreachable memory). [2]