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Analysis of algorithms

💡 Words with a Similar Meaning to "Analysis of algorithms"

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WordDefinition
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.
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.
algorithmic efficiencyIn computer science, algorithmic efficiency is a property of an algorithm which relates to the amount of computational resources used by the algorithm.
computer programmingnoun(programming) The process of designing, writing, testing, debugging, and maintaining the source code of computer programs.
search algorithmIn computer science, a search algorithm is an algorithm designed to solve a search problem.
outline of computer scienceComputer science (also called computing science) is the study of the theoretical foundations of information and computation and their implementation and application in computer systems.
computational learning theoryIn computer science, computational learning theory (or just learning theory) is a subfield of artificial intelligence devoted to studying the design and analysis of machine learning algorithms.
control flow analysis—
compile timenoun(often attributive) The point at which a program is converted from source code to machine code; literally the time of compilation.
parallel algorithmIn computer science, a parallel algorithm, as opposed to a traditional serial algorithm, is an algorithm which can do multiple operations in a given time.
program optimizationIn computer science, program optimization, code optimization, or software optimization is the process of modifying a software system to make some aspect of it work more efficiently or use fewer resources.
symbolic executionIn computer science, symbolic execution (also symbolic evaluation or symbex) is a means of analyzing a program to determine what inputs cause each part of a program to execute.
computer architecturenoun(computer hardware) The conceptual structure around which a given computer is designed.
information retrievalnoun(information science) The science of searching for information in documents, searching for documents themselves, searching for metadata which describe documents, or searching within databases, whether relational stand-alone databases or hypertextually-networked databases such as the World Wide Web.
dynamic program analysisthe act of analyzing software that involves executing a program as opposed to static program analysis, which does not execute it.
high-throughput computingIn computer science, high-throughput computing is the use of many computing resources over long periods of time to accomplish a computational task.
runtimenounAlternative spelling of run time. [(computing) The stage during which a program is executing.]
cache replacement policiesIn computing, cache replacement policies (also known as cache replacement algorithms or cache algorithms) are optimizing instructions or algorithms which a computer program or hardware-maintained structure can utilize to manage a cache of information.
formal specificationIn computer science, formal specifications are mathematically based techniques whose purpose is to help with the implementation of systems and software.
informaticsnoun(computing) A branch of information science and of computer science that focuses on the study of information processing, particularly with respect to systems integration and human interactions with machine and data.

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