Computational number theory

In mathematics, computational number theory, also known as algorithmic number theory, is the study of algorithms for performing number theoretic computations. The best known problem in the field is integer factorization.

See also: Computational complexity of mathematical operations

[edit] References

• Victor Shoup, A Computational Introduction to Number Theory and Algebra. Cambridge, 2005, ISBN 0-521-85-154-8

• Henri Cohen, A Course in Computational Algebraic Number Theory, Graduate Texts in Mathematics 138, Springer-Verlag, 1993.

• Eric Bach and Jeffrey Shallit, Algorithmic Number Theory, volume 1: Efficient Algorithms. MIT Press, 1996, ISBN 0-262-02405-5

• Richard Crandall and Carl Pomerance, Prime Numbers: A Computational Perspective, Springer-Verlag, 2001, ISBN 0-387-94777-9

• Hans Riesel, Prime Numbers and Computer Methods for Factorization, second edition, Birkhäuser, 1994, ISBN 0-8176-3743-5, ISBN 3-7643-3743-5

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