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Algorithm characterizations are attempts to formalize the word algorithm. Algorithm does not have a generally accepted formal definition. Researchers [1] are actively working on this problem. This article will present some of the "characterizations" of the notion of "algorithm" in more detail.
Adaptive algorithm; Algorism; The Algorithm Auction; Algorithm characterizations; Algorithm engineering; Algorithmic game theory; Algorithmic logic; Algorithmic management; Algorithmic mechanism design; Algorithmic paradigm; Algorithmic Puzzles; Algorithmic transparency; Algorithms and Combinatorics; Algorithms of Oppression; Automate This; AVT ...
There are several broadly recognized algorithmic techniques that offer a proven method or process for designing and constructing algorithms. Different techniques may be used depending on the objective, which may include searching, sorting, mathematical optimization, constraint satisfaction, categorization, analysis, and prediction.
Algorithm characterizations; Algorithmic bias; Algorithmic composition; Algorithmic entities; Algorithmic synthesis; Algorithmic technique; Algorithmic topology; Computational mathematics; Garbage in, garbage out; Introduction to Algorithms (textbook) Government by algorithm; List of algorithms; List of algorithm general topics; Medium is the ...
Algorithm characterizations. Introduction to Algorithms; Theory of computation. Computational complexity theory. Analysis of algorithms. Empirical algorithmics; Big O notation; Algorithmic efficiency; Algorithmic information theory. Algorithmic probability; Algorithmically random sequence; Search algorithm; Sorting algorithm; Merge algorithm ...
Since its inception, Martin-Löf randomness has been shown to admit many equivalent characterizations—in terms of compression, randomness tests, and gambling—that bear little outward resemblance to the original definition, but each of which satisfies our intuitive notion of properties that random sequences ought to have: random sequences ...
This is a polynomial-time algorithm accepting an NP-complete language only if P = NP. "Accepting" means it gives "yes" answers in polynomial time, but is allowed to run forever when the answer is "no" (also known as a semi-algorithm). This algorithm is enormously impractical, even if P = NP.
It is possible to determine whether a graph is strongly chordal in polynomial time, by repeatedly searching for and removing a simple vertex.If this process eliminates all vertices in the graph, the graph must be strongly chordal; otherwise, if this process finds a subgraph without any more simple vertices, the original graph cannot be strongly chordal.