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The Archives began in 1975 at the University of Texas at Austin with the preservation of the papers of Texas mathematicians R.L. Moore and H.S. Vandiver. [1]In 1978, the Mathematical Association of America established the university as the official repository for its archival records and the name "Archives of American Mathematics" was adopted to encompass all of the mathematical archival ...
Theorem [7] — Suppose T is a distribution on U with compact support K and let V be an open subset of U containing K. Since every distribution with compact support has finite order, take N to be the order of T and define := {,, …, +}.
arXiv (pronounced as "archive"—the X represents the Greek letter chi χ ) [1] is an open-access repository of electronic preprints and postprints (known as e-prints) approved for posting after moderation, but not peer review.
The mathematical sense of the term is from 1718. In the 18th century, the term chance was also used in the mathematical sense of "probability" (and probability theory was called Doctrine of Chances). This word is ultimately from Latin cadentia, i.e. "a fall, case".
Project Gutenberg (PG) is a volunteer effort to digitize and archive cultural works, as well as to "encourage the creation and distribution of eBooks." [2] It was founded in 1971 by American writer Michael S. Hart and is the oldest digital library. [3] Most of the items in its collection are the full texts of books or individual stories in the ...
In algebra and number theory, a distribution is a function on a system of finite sets into an abelian group which is analogous to an integral: it is thus the algebraic analogue of a distribution in the sense of generalised function. The original examples of distributions occur, unnamed, as functions φ on Q/Z satisfying [1]
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The uniform distribution or rectangular distribution on [a,b], where all points in a finite interval are equally likely, is a special case of the four-parameter Beta distribution. The Irwin–Hall distribution is the distribution of the sum of n independent random variables, each of which having the uniform distribution on [0,1].