Computational and Algorithmic Problems in Finite Fields

von Igor Shparlinski

256 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

1. Polynomial Factorization.- 1. Univariate factorization.- 2. Multivariate factorization.- 3. Other polynomial decompositions.- 2. Finding irreducible and primitive polynomials.- 1. Construction of irreducible polynomials.- 2. Construction of primitive polynomials.- 3. The distribution of irreducible and primitive polynomials.- 1. Distribution of irreducible and primitive polynomials.- 2. Irreducible and primitive polynomials of a given height and weight.- 3. Sparse polynomials.- 4. Applications to algebraic number fields.- 4. Bases and computation in finite fields.- 1. Construction of some special bases for finite fields.- 2. Discrete logarithm and Zech's logarithm.- 3. Polynomial multiplication and multiplicative complexity in finite fields.- 4. Other algorithms in finite fields.- 5. Coding theory and algebraic curves.- 1. Codes and points on algebraic curves.- 2. Codes and exponential sums.- 3. Codes and lattice packings and coverings.- 6. Elliptic curves.- 1. Some general properties.- 2. Distribution of primitive points on elliptic curves.- 7. Recurrent sequences in finite fields and leyelic linear codes.- 1. Distribution of values of recurrent sequences.- 2. Applications of recurrent sequences.- 3. Cyclic codes and recurrent sequences.- 8. Finite fields and discrete mathematics.- 1. Cryptography and permutation polynomials.- 2. Graph theory, combinatorics, Boolean functions.- 3. Enumeration problems in finite fields.- 9. Congruences.- 1. Optimal coefficients and pseudo-random numbers.- 2. Residues of exponential functions.- 3. Modular arithmetic.- 4. Other applications.- 10. Some related problems.- 1. Integer factorization, primality testing and the greatest common divisor.- 2. Computational algebraic number theory.- 3. Algebraic complexity theory.- 4.Polynomials with integer coefficients.- Appendix 1.- Appendix 2.- Appendix 3.- Addendum.- References.

• Themen: Mathematik und Naturwissenschaften Mathematik Algebra
• ISBN: 9789401047968
• Sprache: Englisch
• Erscheinungsdatum: 29.10.2012
• Größe: 240 x 160 mm
• Verlag: Springer