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Pseudocode is commonly used in textbooks and scientific publications related to computer science and numerical computation to describe algorithms in a way that is accessible to programmers regardless of their familiarity with specific programming languages.
Pages in category "Articles with example pseudocode" The following 186 pages are in this category, out of 186 total. This list may not reflect recent changes. A.
Borůvka's algorithm is a greedy algorithm for finding a minimum spanning tree in a graph, or a minimum spanning forest in the case of a graph that is not connected.. It was first published in 1926 by Otakar Borůvka as a method of constructing an efficient electricity network for Moravia.
The pseudocode below uses a function ccw: ccw > 0 if three points make a counter-clockwise turn, ccw < 0 if clockwise, and ccw = 0 if collinear. (In real applications, if the coordinates are arbitrary real numbers, the function requires exact comparison of floating-point numbers, and one has to beware of numeric singularities for "nearly ...
For example, consider the result if we were to union a checkerboard (where every tile is a pixel) of size with its complement. The result is a giant black square which should be represented by a quadtree with just the root node (coloured black), but instead the algorithm produces a full 4-ary tree of depth k {\displaystyle k} .
In computer science, GSAT and WalkSAT are local search algorithms to solve Boolean satisfiability problems.. Both algorithms work on formulae in Boolean logic that are in, or have been converted into conjunctive normal form.
Final suffix tree using Ukkonen's algorithm (example). To better illustrate how a suffix tree is constructed using Ukkonen's algorithm, we can consider the string S = xabxac. Start with an empty root node. Construct for S[1] by adding the first character of the string. Rule 2 applies, which creates a new leaf node.
The following is the skeleton of a generic branch and bound algorithm for minimizing an arbitrary objective function f. [3] To obtain an actual algorithm from this, one requires a bounding function bound, that computes lower bounds of f on nodes of the search tree, as well as a problem-specific branching rule.