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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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Sharp Quantum vs. Classical Query Complexity Separations

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Small generators of number fields

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Efficient explicit formulae for genus 2 hyperelliptic curves over prime fields and their implementations

TL;DR: Experimental results show that the algorithms can save up to 13% of the time to perform a scalar multiplication on a general genus 2 hyperelliptic curve over a prime field, when compared with the best known general methods.
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Computing fundamental domains for the Bruhat–Tits tree for , -adic automorphic forms, and the canonical embedding of Shimura curves

TL;DR: In this paper, the Bruhat-Tits tree is used to compute spaces of rigid modular forms of arbitrary even weight, and how to evaluate such forms to high precision using overconvergent methods.
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Isogeny graphs, modular polynomials, and applications

TL;DR: In this article, the authors give an algorithm to compute Hilbert modular polynomials for ordinary abelian varieties with maximal realmultiplication, which is the fastest known algorithm for curves satisfying the right properties.
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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