03 January 2007

Software Engineering: Algorithm (Definitions)

"(1) A finite set of well-defined rules for the solution of a problem in a finite number of steps; for example, a complete specification of a sequence of arithmetic operations for evaluating sine x to a given precision. (2) Any sequence of operations for performing a specific task."(IEEE, "IEEE Standard Glossary of Software Engineering Terminology", 1990)

"A computational procedure; a neural net training algorithm is a step by step procedure for setting the weights of the net. Training algorithms are also known as learning rules." (Laurene V Fausett, "Fundamentals of Neural Networks: Architectures, Algorithms, and Applications", 1994)

"A process or rule a machine uses for processing." (Patrick Dalton, "Microsoft SQL Server Black Book", 1997)

"A series of steps or expressions that solves a problem." (Microsoft Corporation, "Microsoft SQL Server 7.0 Data Warehouse Training Kit", 2000)

"A common procedure or step-by-step methodology for performing a specific task and producing desired results." (Greg Perry, "Sams Teach Yourself Beginning Programming in 24 Hours" 2nd Ed., 2001)

"open, cyclic, or arbitrarily structured sequence of exactly defined unconditional or conditional instructions." (Teuvo Kohonen, "Self-Organizing Maps" 3rd Ed., 2001)

"A set of statements organized to solve a problem in a finite number of steps." (Margaret Y Chu, "Blissful Data ", 2004)

"A set of rules for the solution of a problem in a finite number of steps; for example, a complete specification of a sequence of arithmetic operations for calculating a numeric value to a given precision." (Richard D Stutzke, "Estimating Software-Intensive Systems: Projects, Products, and Processes", 2005)

"A set of statements organized to solve a problem in a finite number of steps." (William H Inmon, "Building the Data Warehouse", 2005)

"A computer program (or procedure) that is a step-by-step procedure, solving a problem, in a finite number of steps." (Gavin Powell, "Beginning Database Design", 2006)

"An algorithm is a finite sequence of instructions for solving a particular problem or performing a task. In terms of cryptography, an algorithm is a step-by-step procedure for encrypting, decrypting, or calculating cryptographic hashes from data." (Michael Coles & Rodney Landrum, , "Expert SQL Server 2008 Encryption", 2008)

"A formula or procedure for solving a problem or carrying out a task. An algorithm is a set of steps in a very specific order, such as a mathematical formula or the instructions in a computer program." (J P Getty Trust, "Introduction to Metadata" 2nd Ed, 2008)

"Sets of steps, operations, or procedures that will produce a particular outcome; like a recipe." (Robert Nisbet et al, "Handbook of statistical analysis and data mining applications", 2009)

"A mathematical rule for solving a problem; a predetermined set of rules used to solve a problem in a finite number of steps." (Linda Volonino & Efraim Turban, "Information Technology for Management 8th Ed", 2011)

"A set of rules or steps that will result in a defined end from a defined start." (DAMA International, "The DAMA Dictionary of Data Management", 2011)

"A well-defined sequence of steps, explained clearly enough that even a computer could do them." (Jon Orwant et al, "Programming Perl" 4th Ed., 2012)

"A finite series of well-defined steps that achieve a desired outcome. These steps may be deterministic or include random or probabilistic elements." (Evan Stubbs, "Delivering Business Analytics: Practical Guidelines for Best Practice", 2013)

"A finite series of well-defined steps that achieve a desired outcome. These steps may be deterministic or include random or probabilistic elements." (Evan Stubbs, "Big Data, Big Innovation", 2014)

"The instructions that govern the flow of activity in a procedure" (Daniel Linstedt & W H Inmon, "Data Architecture: A Primer for the Data Scientist", 2014)

"A mathematical formula used to analyze data." (Jason Williamson, "Getting a Big Data Job For Dummies", 2015)

"A software recipe that explains how to solve a particular programming problem." (Rod Stephens, "Beginning Software Engineering", 2015)

"A step-by-step description of a specific process, procedure, or method." (Judith S Hurwitz, "Cognitive Computing and Big Data Analytics", 2015)

"Unambiguous instructions for solving a problem or subproblem in a finite amount of time using a finite amount of data" (Nell Dale & John Lewis, "Computer Science Illuminated" 6th Ed., 2015)

"A sequence of unambiguous instructions that solve a problem, within a finite amount of time, given a set of valid input" (Nell Dale et al, "Object-Oriented Data Structures Using Java" 4th Ed., 2016)

"Finite sequence of operations feasible, unambiguous, the execution gives a solution to a problem. Or what is easier to say, an instruction to do something. Featured on the new design processes to systematize computer graphics operations." (Mauro Chiarella, "Folds and Refolds: Space Generation, Shapes, and Complex Components", 2016)

"A sequence of clearly defined steps that describe a process to follow a finite set of unambiguous instructions with clear start and end points." (Karl Beecher, "Computational Thinking - A beginner's guide to problem-solving and programming", 2017)

"A step-by-step set of rules to follow in calculations to meet analytical objectives such as prediction or classification." (Jonathan Ferrar et al, "The Power of People: Learn How Successful Organizations Use Workforce Analytics To Improve Business Performance", 2017)

"A set of rules for calculating results or solving problems that have been programmed for use in a model-driven DSS." (Ciara Heavin & Daniel J Power, "Decision Support, Analytics, and Business Intelligence" 3rd Ed., 2017)

"A set of computational rules to be followed to solve a mathematical problem. More recently, the term has been adopted to refer to a process to be followed, often by a computer." (Soraya Sedkaoui, "Big Data Analytics for Entrepreneurial Success", 2018)

"A step-by-step recipe that you follow to achieve a goal, not unlike baking a cake." (Terrence J Sejnowski, "The Deep Learning Revolution", 2018)

"An algorithm is a procedure that solves a given problem by a finite number of steps. A problem solved by an algorithm is said computable ." (Crescenzio Gallo, "Building Gene Networks by Analyzing Gene Expression Profiles", 2018)

"a rule or formula that takes input variables and produces an output, such as a prediction, a classification, or a probability" ((David Spiegelhalter, "The Art of Statistics: Learning from Data", 2019)

"An algorithm is a well-defined procedure that allows a computer to solve a problem. A particular problem can typically be solved by more than one algorithm. Optimization is the process of finding the most efficient algorithm for a given task." (Edward T Chen, "Deep Learning and Sustainable Telemedicine", 2020)

"An algorithm is an ordered, accurate step-by-step process for a problem that provides a solution in a finite number of steps and that is unambiguous." (Hari K Kondaveeti et al, "Deep Learning Applications in Agriculture: The Role of Deep Learning in Smart Agriculture", 2021)

"Rules that allow AI to learn patterns in the data, classify, and to predict." (Sujata Ramnarayan, "Marketing and Artificial Intelligence: Personalization at Scale", 2021)

 "A set of rules and operations optimized for a specific outcome." (Forrester)

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