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Complexity function

💡 Words with a Similar Meaning to "Complexity function"

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WordDefinition
analysis of algorithmsIn computer science, the analysis of algorithms is the process of finding the computational complexity of algorithms—the amount of time, storage, or other resources needed to execute them.
time complexitynoun(computer science) The amount of time an algorithm requires to run, as a function of the amount of input, measured in such a way as to ignore constant terms and multiplication by constant terms.
constant-recursive sequenceIn mathematics, an infinite sequence of numbers is called constant-recursive if it satisfies an equation of the form
recursive languageIn mathematics, logic and computer science, a formal language (a set of finite sequences of symbols taken from a fixed alphabet) is called recursive if it is a recursive subset of the set of all possible finite sequences over the alphabet of the language.
formal languagenoun(computing theory) A set of finite strings (called words) made of symbols (from a finite set of symbols, called an alphabet).
lexical analysisnoun(computer science) The conversion of a stream of characters to a stream of meaningful tokens; normally to simplify parsing.
listnounA strip of fabric, especially from the edge of a piece of cloth.
analysis of parallel algorithmsIn computer science, the analysis of parallel algorithms is the process of finding the computational complexity of algorithms executed in parallel – the amount of time, storage, or other resources needed to execute them.
longest palindromic substringIn computer science, the longest palindromic substring or longest symmetric factor problem is the problem of finding a maximum-length contiguous substring of a given string that is also a palindrome.
integer complexityIn number theory, the complexity of an integer is the smallest number of ones that can be used to represent it using ones and any number of additions, multiplications, and parentheses.
model of computationIn computer science, and more specifically in computability theory and computational complexity theory, a model of computation is a model which describes how an output of a mathematical function is computed given an input.
computational complexityIn computer science, the computational complexity or simply complexity of an algorithm is the amount of resources required to run it.https://people.seas.harvard.edu/~salil/research/ComputationalComplexity-2ndEd.pdf Particular focus is given to computation time (generally measured by the number of needed elementary operations) and memory storage requirements.
digital dataDigital data, in information theory and information systems, is information represented as a string of discrete symbols, each of which can take on one of only a finite number of values from some alphabet, such as letters or digits.
string metricIn mathematics and computer science, a string metric (also known as a string similarity metric or string distance function) is a metric that measures distance ("inverse similarity") between two text strings for approximate string matching or comparison and in fuzzy string searching.
kolmogorov complexitynoun(computing theory) The complexity of an information object—such as a book or an image—informally defined as the length of the shortest program that produces that information object as output.
syntaxnounA set of rules that govern how words are combined to form phrases and sentences.
complex measurenoun(mathematical analysis) A function whose domain is a σ-algebra, whose codomain is the set of complex numbers, and which is countably additive.
pattern languagenoun(architecture, design, software) A structured method of describing good design practices within a field of expertise.
parameterized complexityIn computer science, parameterized complexity is a branch of computational complexity theory that focuses on classifying computational problems according to their inherent difficulty with respect to multiple parameters of the input or output.
complexity theorynoun(computer science) The study and classification of decision problems by the computational resources—such as time and space—needed by the programs that solve the problems.

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