pwl_interp_1d, a Python code which interpolates a set of data with a piecewise linear (PWL) function.
The information on this web page is distributed under the MIT license.
pwl_interp_1d is available in a C version and a C++ version and a Fortran90 version and a MATLAB version and an Octave version and a Python version.
barycentric_interp_1d, a Python code which defines and evaluates the barycentric Lagrange polynomial p(x) which interpolates a set of data, so that p(x(i)) = y(i). the barycentric approach means that very high degree polynomials can safely be used.
chebyshev_interp_1d, a Python code which determines the combination of Chebyshev polynomials which interpolates a set of data, so that p(x(i)) = y(i).
lagrange_interp_1d, a Python 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 Python code which interpolates a set of data using a piecewise constant interpolant defined by the nearest neighbor criterion.
newton_interp_1d, a Python code which finds a polynomial interpolant to data using Newton divided differences.
pwl_interp_2d, a Python code which evaluates a piecewise linear (PWL) interpolant to data defined on a regular 2D grid.
rbf_interp_1d, a Python code which defines and evaluates radial basis function (RBF) interpolants to 1D data.
shepard_interp_1d, a Python code which defines and evaluates shepard interpolants to 1d data, based on inverse distance weighting.
test_interp, a Python code which defines a number of test problems for interpolation, provided as a set of (x,y) data.
test_interp_1d, a Python code which defines test problems for interpolation of data y(x), depending on a 1d argument.
vandermonde_interp_1d, a Python code 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.
pwl_interp_1d_test01() plots the piecewise linear interpolant to the data.
pwl_interp_1d_test02() plots the basis functions to the data.
