Murray R. Bremner

Lattice Basis Reduction (eBook, PDF)

An Introduction to the LLL Algorithm and Its Applications

• Format: PDF

Produktbeschreibung

First realized in the 1980s by Lenstra, Lenstra, and Lovasz, the LLL algorithm was originally intended to factor polynomials with rational coefficients. It improved upon the existing lattice reduction algorithm in order to solve integer linear programming problems and was later adapted for use in crypanalysis. This book provides an introduction to the theory and applications of lattice basis reduction and the LLL algorithm. With numerous examples and suggested exercises, the text discusses various applications of lattice basis reduction to polynomial factorization, cryptography, number theory, and matrix canonical forms.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 332
• Erscheinungstermin: 12. August 2011
• Englisch
• ISBN-13: 9781439807040
• Artikelnr.: 38300894

Autorenporträt

Murray R. Bremner received a Bachelor of Science from the University of Saskatchewan in 1981, a Master of Computer Science from Concordia University in Montreal in 1984, and a Doctorate in Mathematics from Yale University in 1989. He spent one year as a Postdoctoral Fellow at the Mathematical Sciences Research Institute in Berkeley, and three years as an Assistant Professor in the Department of Mathematics at the University of Toronto. He returned to the Department of Mathematics and Statistics at the University of Saskatchewan in 1993 and was promoted to Professor in 2002. His research interests focus on the application of computational methods to problems in the theory of linear nonassociative algebras, and he has had more than 50 papers published or accepted by refereed journals in this area.

Inhaltsangabe

Introduction to Lattices. Two-Dimensional Lattices. Gram-Schmidt
Orthogonalization. The LLL Algorithm. Deep Insertions. Linearly Dependent
Vectors. The Knapsack Problem. Coppersmith's Algorithm. Diophantine
Approximation. The Fincke-Pohst Algorithm. Kannan's Algorithm. Schnorr's
Algorithm. NP-Completeness. The Hermite Normal Form. Polynomial
Factorization.