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  2. HackerRank - Wikipedia

    en.wikipedia.org/wiki/HackerRank

    HackerRank categorizes most of their programming challenges into a number of core computer science domains, [3] including database management, mathematics, and artificial intelligence. When a programmer submits a solution to a programming challenge, their submission is scored on the accuracy of their output.

  3. List of unsolved problems in computer science - Wikipedia

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

    The problem to determine all positive integers such that the concatenation of and in base uses at most distinct characters for and fixed [citation needed] and many other problems in the coding theory are also the unsolved problems in mathematics.

  4. Caesar cipher - Wikipedia

    en.wikipedia.org/wiki/Caesar_cipher

    In cryptography, a Caesar cipher, also known as Caesar's cipher, the shift cipher, Caesar's code, or Caesar shift, is one of the simplest and most widely known encryption techniques. It is a type of substitution cipher in which each letter in the plaintext is replaced by a letter some fixed number of positions down the alphabet .

  5. Computational problem - Wikipedia

    en.wikipedia.org/wiki/Computational_problem

    An optimization problem asks for finding a "best possible" solution among the set of all possible solutions to a search problem. One example is the maximum independent set problem: "Given a graph G, find an independent set of G of maximum size." Optimization problems are represented by their objective function and their constraints.

  6. Dining philosophers problem - Wikipedia

    en.wikipedia.org/wiki/Dining_philosophers_problem

    A fair solution must guarantee that each philosopher will eventually eat, no matter how slowly that philosopher moves relative to the others. The following source code is a C++11 implementation of the resource hierarchy solution for five philosophers. The sleep_for() function simulates the time normally spent with business logic. [6]

  7. Longest common subsequence - Wikipedia

    en.wikipedia.org/wiki/Longest_common_subsequence

    LCS in particular has overlapping subproblems: the solutions to high-level subproblems often reuse solutions to lower level subproblems. Problems with these two properties are amenable to dynamic programming approaches, in which subproblem solutions are memoized , that is, the solutions of subproblems are saved for reuse.

  8. Multiple inheritance - Wikipedia

    en.wikipedia.org/wiki/Multiple_inheritance

    The "diamond problem" (sometimes referred to as the "Deadly Diamond of Death" [6]) is an ambiguity that arises when two classes B and C inherit from A, and class D inherits from both B and C. If there is a method in A that B and C have overridden , and D does not override it, then which version of the method does D inherit: that of B, or that of C?

  9. Backtracking - Wikipedia

    en.wikipedia.org/wiki/Backtracking

    Backtracking is a class of algorithms for finding solutions to some computational problems, notably constraint satisfaction problems, that incrementally builds candidates to the solutions, and abandons a candidate ("backtracks") as soon as it determines that the candidate cannot possibly be completed to a valid solution.