klus.observables module

klus.observables.identity(x)

Identity function.

class klus.observables.monomials(p)

Bases: object

Computation of monomials in d dimensions.

diff(x)

Compute partial derivatives for all data points in x.

ddiff(x)

Compute second order derivatives for all data points in x.

display(alpha, d, name=None, eps=1e-06)

Display the polynomial with coefficients alpha.

class klus.observables.indicators(Omega)

Bases: object

Indicator functions for box discretization Omega.

class klus.observables.gaussians(Omega, sigma=1)

Bases: object

Gaussians whose centers are the centers of the box discretization Omega.

sigma: width of Gaussians

diff(x)

Compute partial derivatives for all data points in x.

ddiff(x)

Compute second order derivatives for all data points in x.

klus.observables.nchoosek(n, k)

Computes binomial coefficients.

klus.observables.nextMonomialPowers(x)

Returns powers for the next monomial. Implementation based on John Burkardt's MONOMIAL toolbox, see http://people.sc.fsu.edu/~jburkardt/m_src/monomial/monomial.html.

klus.observables.allMonomialPowers(d, p)

All monomials in d dimensions of order up to p.