barycentric_interp_1d, a C++ code which defines and evaluates the Lagrange polynomial p(x) which interpolates a set of data, so that p(x(i)) = y(i). Because a barycentric formulation is used, polynomials of very high degree can safely be used.
Efficient calculation of the barycentric polynomial interpolant requires that the function to be interpolated be sampled at points from a known family, for which the interpolation weights have been precomputed. Such families include
Note that in the Berrut/Trefethen reference, there is a significant
typographical error on page 510, where an adjustment is made in cases
where the polynomial is to be evaluated exactly at a data point.
The paper reads:
exact(xdiff==0) = 1;
but it should read
exact(xdiff==0) = j;
BARYCENTRIC_INTERP_1D requires the R8LIB library. The test also requires the TEST_INTERP_1D library.
The computer code and data files described and made available on this web page are distributed under the MIT license
barycentric_interp_1d is available in a C version and a C++ version and a FORTRAN90 version and a MATLAB version and a Python version.
CHEBYSHEV_INTERP_1D, a C++ code which determines the combination of Chebyshev polynomials which interpolates a set of data, so that p(x(i)) = y(i).
LAGRANGE_APPROX_1D, a MATLAB library which defines and evaluates the Lagrange polynomial p(x) of degree m which approximates a set of nd data points (x(i),y(i)).
LAGRANGE_INTERP_1D, a C++ code which defines and evaluates the Lagrange polynomial p(x) which interpolates a set of data, so that p(x(i)) = y(i).
NEAREST_INTERP_1D, a C++ code which interpolates a set of data using a piecewise constant interpolant defined by the nearest neighbor criterion.
NEWTON_INTERP_1D, a C++ code which finds a polynomial interpolant to data using Newton divided differences.
PWL_INTERP_1D, a C++ code which interpolates a set of data using a piecewise linear interpolant.
R8LIB, a C++ code which contains many utility routines using double precision real (R8) arithmetic.
RBF_INTERP_1D, a C++ code which defines and evaluates radial basis function (RBF) interpolants to 1D data.
SHEPARD_INTERP_1D, a C++ code which defines and evaluates Shepard interpolants to 1D data, based on inverse distance weighting.
SPLINE, a C++ code which constructs and evaluates spline interpolants and approximants.
TEST_INTERP_1D, a C++ code which defines test problems for interpolation of data y(x), depending on a 2D argument.
VANDERMONDE_INTERP_1D, a C library which finds a polynomial interpolant to data y(x) of a 1D argument, by setting up and solving a linear system for the polynomial coefficients, involving the Vandermonde matrix.