Computer Sciences

A new parallel strategy for tackling turbulence on Summit

Turbulence, the state of disorderly fluid motion, is a scientific puzzle of great complexity. Turbulence permeates many applications in science and engineering, including combustion, pollutant transport, weather forecasting, ...

Consumer & Gadgets

Hotel room rates: Human work or algorithmic plaything?

You would like to book a hotel room and browse the internet for which rooms and rates are an offer. The rates provided depend on forecasted demand and come about through the use of computer algorithms. However, the rates ...

Internet

Algorithm can help boost the popularity of social media posts

Computer scientists created a new algorithm to recommend tags for social media posts which should boost the popularity of the post in question. This algorithm takes into account more kinds of information than previous algorithms ...

Engineering

Engineers solve 50-year-old puzzle in signal processing

Something called the fast Fourier transform is running on your cell phone right now. The FFT, as it is known, is a signal-processing algorithm that you use more than you realize. It is, according to the title of one research ...

Hi Tech & Innovation

What do dragonflies teach us about missile defense?

Be grateful you're not on a dragonfly's diet. You might be a fruit fly or maybe a mosquito, but it really wouldn't matter the moment you look back and see four powerful wings pounding through the air after you. You fly for ...

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Algorithm

In mathematics, computing, linguistics, and related subjects, an algorithm is a finite sequence of instructions, an explicit, step-by-step procedure for solving a problem, often used for calculation and data processing. It is formally a type of effective method in which a list of well-defined instructions for completing a task, will when given an initial state, proceed through a well-defined series of successive states, eventually terminating in an end-state. The transition from one state to the next is not necessarily deterministic; some algorithms, known as probabilistic algorithms, incorporate randomness.

A partial formalization of the concept began with attempts to solve the Entscheidungsproblem (the "decision problem") posed by David Hilbert in 1928. Subsequent formalizations were framed as attempts to define "effective calculability" (Kleene 1943:274) or "effective method" (Rosser 1939:225); those formalizations included the Gödel-Herbrand-Kleene recursive functions of 1930, 1934 and 1935, Alonzo Church's lambda calculus of 1936, Emil Post's "Formulation 1" of 1936, and Alan Turing's Turing machines of 1936–7 and 1939.

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