Search results
Results from the WOW.Com Content Network
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 ...
Irrespective of the problem category, the process of solving a problem can be divided into two broad steps: constructing an efficient algorithm, and implementing the algorithm in a suitable programming language (the set of programming languages allowed varies from contest to contest). These are the two most commonly tested skills in programming ...
Gennady Korotkevich (Belarusian: Генадзь Караткевіч, Hienadź Karatkievič, Russian: Геннадий Короткевич; born 25 September 1994) is a Belarusian competitive sport programmer who has won major international competitions since the age of 11, as well as numerous national competitions.
Topcoder was founded in 2001 by Jack Hughes, chairman and Founder of the Tallan company. [1] [2] The name was formerly spelt as "TopCoder" until 2013.Topcoder ran regular competitive programming challenges, known as Single Round Matches or "SRMs," where each SRM was a timed 1.5-hour algorithm competition and contestants would compete against each other to solve the same set of problems.
Parsons' programming puzzles became known as Parsons puzzles [2] and then Parsons problems. [3] Parsons problems have become popular as they are easier to grade than written code while capturing the students problem solving ability shown in a code creation process.
The clique decision problem is not of practical importance; it is formulated in this way in order to apply the theory of NP-completeness to clique-finding problems. [19] The clique problem and the independent set problem are complementary: a clique in G is an independent set in the complement graph of G and vice versa. [20]
The divide-and-conquer paradigm is often used to find an optimal solution of a problem. Its basic idea is to decompose a given problem into two or more similar, but simpler, subproblems, to solve them in turn, and to compose their solutions to solve the given problem. Problems of sufficient simplicity are solved directly.
Constraint programming (CP) [1] is a paradigm for solving combinatorial problems that draws on a wide range of techniques from artificial intelligence, computer science, and operations research. In constraint programming, users declaratively state the constraints on the feasible solutions for a set of decision variables.