![]() ![]() ![]() The concept of algorithms has existed since antiquity. The transition from one state to the next is not necessarily deterministic some algorithms, known as randomized algorithms, incorporate random input. ![]() Starting from an initial state and initial input (perhaps empty), the instructions describe a computation that, when executed, proceeds through a finite number of well-defined successive states, eventually producing "output" and terminating at a final ending state. Īs an effective method, an algorithm can be expressed within a finite amount of space and time, and in a well-defined formal language for calculating a function. In contrast, a heuristic is an approach to problem solving that may not be fully specified or may not guarantee correct or optimal results, especially in problem domains where there is no well-defined correct or optimal result. Using human characteristics as descriptors of machines in metaphorical ways was already practiced by Alan Turing with terms such as "memory", "search" and "stimulus". ![]() More advanced algorithms can use conditionals to divert the code execution through various routes (referred to as automated decision-making) and deduce valid inferences (referred to as automated reasoning), achieving automation eventually. Algorithms are used as specifications for performing calculations and data processing. In mathematics and computer science, an algorithm ( / ˈ æ l ɡ ə r ɪ ð əm/ ( listen)) is a finite sequence of rigorous instructions, typically used to solve a class of specific problems or to perform a computation. Ada Lovelace's diagram from "note G", the first published computer algorithm ![]()
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