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A random seed (or seed state, or just seed) is a number (or vector) used to initialize a pseudorandom number generator.. A pseudorandom number generator's number sequence is completely determined by the seed: thus, if a pseudorandom number generator is later reinitialized with the same seed, it will produce the same sequence of numbers.
Often is a set between 's support and its interior; for instance, if is the uniform distribution on the interval (,], might be (,]. If A {\displaystyle A} is not specified, it is assumed to be some set contained in the support of P {\displaystyle P} and containing its interior, depending on context.
In computing, and specifically peer-to-peer file sharing, seeding is the uploading of already downloaded content for others to download from. A peer, a computer that is connected to the network, becomes a seed when having acquired the entire set of data, it begins to offer its upload bandwidth to other peers attempting to download the file.
R is a programming language for statistical computing and data visualization. It has been adopted in the fields of data mining, bioinformatics and data analysis. [9] The core R language is augmented by a large number of extension packages, containing reusable code, documentation, and sample data. R software is open-source and free software.
The first step in region growing is to select a set of seed points. Seed point selection is based on some user criterion (for example, pixels in a certain grayscale range, pixels evenly spaced on a grid, etc.). The initial region begins as the exact location of these seeds.
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The set of real numbers, sometimes called "the reals", is traditionally denoted by a bold R, often using blackboard bold, . [ 2 ] [ 3 ] The adjective real , used in the 17th century by René Descartes , distinguishes real numbers from imaginary numbers such as the square roots of −1 .
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