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Pseudocode. In computer science, pseudocode is a description of the steps in an algorithm using a mix of conventions of programming languages (like assignment operator, conditional operator, loop) with informal, usually self-explanatory, notation of actions and conditions. [ 1 ][ 2 ] Although pseudocode shares features with regular programming ...
The Boyer–Moore majority vote algorithm is an algorithm for finding the majority of a sequence of elements using linear time and a constant number of words of memory. It is named after Robert S. Boyer and J Strother Moore, who published it in 1981, [1] and is a prototypical example of a streaming algorithm. In its simplest form, the algorithm ...
Accenture began as the business and technology consulting division of accounting firm Arthur Andersen in the early 1950s. [4] The division conducted a feasibility study for General Electric to install a computer at Appliance Park in Louisville, Kentucky, which led to GE's installation of a UNIVAC I computer and printer, believed to be the first commercial use of a computer in the United States.
O(n)[1] In computer science, a disjoint-set data structure, also called a union–find data structure or merge–find set, is a data structure that stores a collection of disjoint (non-overlapping) sets. Equivalently, it stores a partition of a set into disjoint subsets. It provides operations for adding new sets, merging sets (replacing them ...
Recursion is a technique for representing data whose exact size is unknown to the programmer: the programmer can specify this data with a self-referentialdefinition. There are two types of self-referential definitions: inductive and coinductivedefinitions. Further information: Algebraic data type.
Generic form. [edit] The master theorem always yields asymptotically tight bounds to recurrences from divide and conquer algorithms that partition an input into smaller subproblems of equal sizes, solve the subproblems recursively, and then combine the subproblem solutions to give a solution to the original problem.
Definition. LP-type problems were defined by Sharir & Welzl (1992) as problems in which one is given as input a finite set S of elements, and a function f that maps subsets of S to values from a totally ordered set. The function is required to satisfy two key properties: Monotonicity: for every two sets A ⊆ B ⊆ S, f (A) ≤ f (B) ≤ f (S).
A nested if–then–else flow diagram. In computer science, conditionals (that is, conditional statements, conditional expressions and conditional constructs) are programming language constructs that perform different computations or actions or return different values depending on the value of a Boolean expression, called a condition.