# Discrete Gaussian Samplers for $$\ZZ[x]$$#

This class realizes oracles which returns polynomials in $$\ZZ[x]$$ where each coefficient is sampled independently with a probability proportional to $$\exp(-(x-c)²/(2σ²))$$.

AUTHORS:

• Martin Albrecht, Robert Fitzpatrick, Daniel Cabracas, Florian Göpfert, Michael Schneider: initial version

EXAMPLES:

sage: from sage.stats.distributions.discrete_gaussian_polynomial import DiscreteGaussianDistributionPolynomialSampler
sage: sigma = 3.0; n=1000
sage: l = [DiscreteGaussianDistributionPolynomialSampler(ZZ['x'], 64, sigma)() for _ in range(n)]
sage: l = [vector(f).norm().n() for f in l]
sage: from numpy import mean
sage: mean(l), sqrt(64)*sigma  # abs tol 5e-1
(24.0, 24.0)

class sage.stats.distributions.discrete_gaussian_polynomial.DiscreteGaussianDistributionPolynomialSampler(P, n, sigma)#

Discrete Gaussian sampler for polynomials.

EXAMPLES:

sage: from sage.stats.distributions.discrete_gaussian_polynomial import DiscreteGaussianDistributionPolynomialSampler
sage: p = DiscreteGaussianDistributionPolynomialSampler(ZZ['x'], 8, 3.0)()
sage: p.parent()
Univariate Polynomial Ring in x over Integer Ring
sage: p.degree() < 8
True
sage: gs = DiscreteGaussianDistributionPolynomialSampler(ZZ['x'], 8, 3.0)
sage: [gs() for _ in range(3)]  # random
[4*x^7 + 4*x^6 - 4*x^5 + 2*x^4 + x^3 - 4*x + 7, -5*x^6 + 4*x^5 - 3*x^3 + 4*x^2 + x, 2*x^7 + 2*x^6 + 2*x^5 - x^4 - 2*x^2 + 3*x + 1]

__init__(P, n, sigma)#

Construct a sampler for univariate polynomials of degree n-1 where coefficients are drawn independently with standard deviation sigma.

INPUT:

EXAMPLES:

sage: from sage.stats.distributions.discrete_gaussian_polynomial import DiscreteGaussianDistributionPolynomialSampler
sage: p = DiscreteGaussianDistributionPolynomialSampler(ZZ['x'], 8, 3.0)()
sage: p.parent()
Univariate Polynomial Ring in x over Integer Ring
sage: p.degree() < 8
True
sage: gs = DiscreteGaussianDistributionPolynomialSampler(ZZ['x'], 8, 3.0)
sage: [gs() for _ in range(3)]  # random
[4*x^7 + 4*x^6 - 4*x^5 + 2*x^4 + x^3 - 4*x + 7, -5*x^6 + 4*x^5 - 3*x^3 + 4*x^2 + x, 2*x^7 + 2*x^6 + 2*x^5 - x^4 - 2*x^2 + 3*x + 1]

__call__()#

Return a new sample.

EXAMPLES:

sage: from sage.stats.distributions.discrete_gaussian_polynomial import DiscreteGaussianDistributionPolynomialSampler
sage: sampler = DiscreteGaussianDistributionPolynomialSampler(ZZ['x'], 8, 12.0)
sage: sampler().parent()
Univariate Polynomial Ring in x over Integer Ring
sage: sampler().degree() <= 7
True