Module rgsl::types

Reexports

pub use self::basis_spline::{BSpLineWorkspace, BSpLineDerivWorkspace};

pub use self::chebyshev::ChebSeries;

pub use self::combination::Combination;

pub use self::complex::{ComplexF32, ComplexF64};

pub use self::discrete_hankel::DiscreteHankel;

pub use self::eigen_symmetric_workspace::{EigenSymmetricWorkspace, EigenSymmetricVWorkspace, EigenHermitianWorkspace, EigenHermitianVWorkspace, EigenNonSymmWorkspace, EigenNonSymmVWorkspace, EigenGenSymmWorkspace, EigenGenSymmVWorkspace, EigenGenHermWorkspace, EigenGenHermVWorkspace, EigenGenWorkspace, EigenGenVWorkspace};

pub use self::fast_fourier_transforms::{FftComplexWaveTable, FftComplexWorkspace};

pub use self::histograms::{Histogram, HistogramPdf, Histogram2D, Histogram2DPdf};

pub use self::integration::{IntegrationWorkspace, IntegrationQawsTable, IntegrationQawoTable, CquadWorkspace, GLFixedTable};

pub use self::interpolation::{InterpAccel, Interp, InterpType, Spline};

pub use self::mathieu::MathieuWorkspace;

pub use self::matrix::{MatrixF32, MatrixF64, MatrixView};

pub use self::matrix_complex::{MatrixComplexF32, MatrixComplexF64};

pub use self::minimizer::{Minimizer, MinimizerType};

pub use self::monte_carlo::{PlainMonteCarlo, MiserMonteCarlo, MiserParams, VegasMonteCarlo};

pub use self::multifit_solver::{MultiFitFdfSolver, MultiFitFunction, MultiFitFdfSolverType, MultiFitFunctionFdf};

pub use self::multiset::MultiSet;

pub use self::n_tuples::NTuples;

pub use self::ordinary_differential_equations::{ODEiv2System, ODEiv2Step, ODEiv2StepType, ODEiv2Control, ODEiv2Evolve, ODEiv2Driver};

pub use self::permutation::Permutation;

pub use self::polynomial::PolyComplex;

pub use self::qrng::{QRng, QRngType};

pub use self::ran_discrete::RanDiscrete;

pub use self::result::{Result, ResultE10};

pub use self::rng::{Rng, RngType};

pub use self::series_acceleration::{LevinUWorkspace, LevinUTruncWorkspace};

pub use self::vector::{VectorF32, VectorF64, VectorView};

pub use self::vector_complex::{VectorComplexF32, VectorComplexF64};

pub use self::wavelet_transforms::{Wavelet, WaveletType, WaveletWorkspace};

Modules

basis_spline	B-splines are commonly used as basis functions to fit smoothing curves to large data sets. To do this, the abscissa axis is broken up into some number of intervals, where the endpoints of each interval are called breakpoints. These breakpoints are then converted to knots by imposing various continuity and smoothness conditions at each interface. Given a nondecreasing knot vector t = {t_0, t_1, …, t_{n+k-1}}, the n basis splines of order k are defined by
chebyshev
combination
complex
discrete_hankel
eigen_symmetric_workspace
fast_fourier_transforms
histograms
integration
interpolation
mathieu	The routines described in this section compute the angular and radial Mathieu functions, and their characteristic values. Mathieu functions are the solutions of the following two differential equations:
matrix
matrix_complex
minimizer
monte_carlo
multifit_solver
multiset
n_tuples
ordinary_differential_equations	Numerical ODE solvers.
permutation
polynomial
qrng
ran_discrete	Given K discrete events with different probabilities P[k], produce a random value k consistent with its probability.
result
rng
series_acceleration
vector
vector_complex
wavelet_transforms