Computational number theory
In mathematics and computer science, computational number theory, also known as algorithmic number theory, is the study of algorithms for performing number theoretic computations.
See also
- Computational complexity of mathematical operations
- SageMath
- Number Theory Library
- PARI/GP
- Fast Library for Number Theory
Further reading
- Eric Bach and Jeffrey Shallit, Algorithmic Number Theory, volume 1: Efficient Algorithms. MIT Press, 1996, ISBN 0-262-02405-5
- Buhler, J.P.; P., Stevenhagen, eds. (2008). Algorithmic Number Theory: Lattices, Number Fields, Curves and Cryptography. MSRI Publications. 44. Cambridge University Press. ISBN 978-0-521-20833-8. Zbl 1154.11002.
- Henri Cohen, A Course in Computational Algebraic Number Theory, Graduate Texts in Mathematics 138, Springer-Verlag, 1993.
- Richard Crandall and Carl Pomerance, Prime Numbers: A Computational Perspective, Springer-Verlag, 2001, ISBN 0-387-94777-9
- Riesel, Hans (1994). Prime Numbers and Computer Methods for Factorization. Progress in Mathematics. 126 (second ed.). Boston, MA: Birkhäuser. ISBN 0-8176-3743-5. Zbl 0821.11001.
- Victor Shoup, A Computational Introduction to Number Theory and Algebra. Cambridge, 2005, ISBN 0-521-85154-8
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