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A Course in Computational Algebraic Number Theory

Henri Cohen
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TLDR
The first seven chapters guide readers to the heart of current research in computational algebraic number theory, including recent algorithms for computing class groups and units, as well as elliptic curve computations, while the last three chapters survey factoring and primality testing methods.
Abstract
A description of 148 algorithms fundamental to number-theoretic computations, in particular for computations related to algebraic number theory, elliptic curves, primality testing and factoring. The first seven chapters guide readers to the heart of current research in computational algebraic number theory, including recent algorithms for computing class groups and units, as well as elliptic curve computations, while the last three chapters survey factoring and primality testing methods, including a detailed description of the number field sieve algorithm. The whole is rounded off with a description of available computer packages and some useful tables, backed by numerous exercises. Written by an authority in the field, and one with great practical and teaching experience, this is certain to become the standard and indispensable reference on the subject.

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Implementing the Round Four maximal order algorithm

TL;DR: In this article, the authors present conditions générales d'utilisation of commercial or impression systématique, constitutive of an infraction pénale.
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Analysis on the strip-based projection model for discrete tomography

TL;DR: The strips-based projection model is characterized and an equivalence between the system matrices generated by the strip-based and line-based models is established, which is more realistic in some applications.
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Determining the long-term behavior of cell populations: A new procedure for detecting ergodicity in large stochastic reaction networks

TL;DR: In this article, the authors present a simple procedure to verify ergodicity in stochastic reaction networks, which can be cast as a Linear Feasibility Problem (LFP) which is essentially the problem of determining the existence of a vector satisfying certain linear constraints.
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Logarithmic conformal invariance in the Abelian sandpile model

TL;DR: In this paper, the status of the two-dimensional Abelian sandpile model as a strong candidate to provide a lattice realization of logarithmic conformal invariance with a central charge c = −2 is reviewed.
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Satoh's algorithm in characteristic 2

TL;DR: An algorithm for counting points on arbitrary ordinary elliptic curves over finite fields of characteristic 2 is given, extending the O(log5 q) method given by Takakazu Satoh, giving the asymptotically fastest point counting algorithm known to date.
References
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Book

A Course of Modern Analysis

TL;DR: The volume now gives a somewhat exhaustive account of the various ramifications of the subject, which are set out in an attractive manner and should become indispensable, not only as a textbook for advanced students, but as a work of reference to those whose aim is to extend the knowledge of analysis.
Journal ArticleDOI

Modular multiplication without trial division

TL;DR: A method for multiplying two integers modulo N while avoiding division by N, a representation of residue classes so as to speed modular multiplication without affecting the modular addition and subtraction algorithms.
Book

Advanced Topics in the Arithmetic of Elliptic Curves

TL;DR: In this article, the authors continue the study of elliptic curves by presenting six important, but somewhat more specialized topics: Elliptic and modular functions for the full modular group.
Journal ArticleDOI

Improved methods for calculating vectors of short length in a lattice, including a complexity analysis

TL;DR: In this paper, the authors show that searching through an ellipsoid is in many cases much more efficient than enumerating all vectors of Z'.. in a suitable box.
Journal ArticleDOI

Lattice basis reduction: improved practical algorithms and solving subset sum problems

TL;DR: Empirical tests show that the strongest of these algorithms solves almost all subset sum problems with up to 66 random weights of arbitrary bit length within at most a few hours on a UNISYS 6000/70 or within a couple of minutes on a SPARC1 + computer.
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