enow.com Web Search

Search results

  1. Results from the WOW.Com Content Network
  2. HackerRank - Wikipedia

    en.wikipedia.org/wiki/HackerRank

    HackerRank's programming challenges can be solved in a variety of programming languages (including Java, C++, PHP, Python, SQL, and JavaScript) and span multiple computer science domains. [ 2 ] HackerRank categorizes most of their programming challenges into a number of core computer science domains, [ 3 ] including database management ...

  3. Competitive programming - Wikipedia

    en.wikipedia.org/wiki/Competitive_programming

    Competitive programming or sport programming is a mind sport involving participants trying to program according to provided specifications. The contests are usually held over the Internet or a local network. Competitive programming is recognized and supported by several multinational software and Internet companies, such as Google, [1] [2] and ...

  4. Gayle Laakmann McDowell - Wikipedia

    en.wikipedia.org/wiki/Gayle_Laakmann_McDowell

    First self-published in 2008, her book Cracking the Coding Interview provides guidance on technical job interviews, and includes solutions to example coding interview questions. [ 4 ] [ 5 ] As of 2015, the book was in its sixth edition and have been translated into seven languages.

  5. 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.

  6. Google Code Jam - Wikipedia

    en.wikipedia.org/wiki/Google_Code_Jam

    Google Code Jam was an international programming competition hosted and administered by Google. [2] The competition began in 2003. [3] The competition consists of a set of algorithmic problems which must be solved in a fixed amount of time. Competitors may use any programming language and development environment to obtain their

  7. Nearest neighbour algorithm - Wikipedia

    en.wikipedia.org/wiki/Nearest_neighbour_algorithm

    The nearest neighbour algorithm was one of the first algorithms used to solve the travelling salesman problem approximately. In that problem, the salesman starts at a random city and repeatedly visits the nearest city until all have been visited. The algorithm quickly yields a short tour, but usually not the optimal one.

  8. "Hello, World!" program - Wikipedia

    en.wikipedia.org/wiki/"Hello,_World!"_program

    program in a given programming language. This is one measure of a programming language's ease of use. Since the program is meant as an introduction for people unfamiliar with the language, a more complex "Hello, World!" program may indicate that the programming language is less approachable. [19] For instance, the first publicly known "Hello ...

  9. Dijkstra's algorithm - Wikipedia

    en.wikipedia.org/wiki/Dijkstra's_algorithm

    From a dynamic programming point of view, Dijkstra's algorithm is a successive approximation scheme that solves the dynamic programming functional equation for the shortest path problem by the Reaching method. [33] [34] [35] In fact, Dijkstra's explanation of the logic behind the algorithm: [36] Problem 2.