Finite Fields and Pseudo-Random Number Generation Carl Offner

First Page		Document Content
Date: 2007-02-04 21:01:12 Modular arithmetic Integer sequences Algebraic number theory Prime number Coprime Euclidean algorithm Finite field Congruence relation Fundamental theorem of arithmetic Mathematics Number theory Abstract algebra		Finite Fields and Pseudo-Random Number Generation Carl Offner Add to Reading List Source URL: www.cs.umb.edu Download Document from Source Website File Size: 437,25 KB Share Document on Facebook

	An algorithm for realizing Euclidean distance matrices Jorge Alencar 1 Instituto Federal de Educa¸c˜ ao, Ciˆencia e Tecnologia do Sul de Minas Gerais, Inconfidentes, MG, Brazil DocID: 1uZU2 - View Document
	A COMPLETE WORST-CASE ANALYSIS OF KANNAN’S SHORTEST LATTICE VECTOR ALGORITHM ´† GUILLAUME HANROT∗ AND DAMIEN STEHLE Abstract. Computing a shortest nonzero vector of a given euclidean lattice and computing a closes DocID: 1uAnv - View Document
	THE EUCLIDEAN ALGORITHM IN ALGEBRAIC NUMBER FIELDS FRANZ LEMMERMEYER Abstract. This article, which is an update of a version published 1995 in Expo. Math., intends to survey what is known about Euclidean number fields; DocID: 1uads - View Document
	Notes on continued fractions 1. Chapter 49: The Topsy-turvy world of continued fractions First, let’s go back, way back, to the Euclidean algorithm. Let’s say for 23 and 5. If we run this through we get 23 = 4 ∗ 5 DocID: 1tH6y - View Document
	Research Article Climbing the Steiner Tree—Sources of Active Information in a Genetic Algorithm for Solving the Euclidean Steiner Tree Problem Winston Ewert,1* William Dembski,2 Robert J. Marks II1 DocID: 1tff1 - View Document