pwl_interp_1d


pwl_interp_1d, a Python code which interpolates a set of data with a piecewise linear function.

Licensing:

The computer code and data files described and made available on this web page are distributed under the MIT license

Languages:

pwl_interp_1d is available in a C version and a C++ version and a FORTRAN90 version and a MATLAB version and a Python version.

Related Data and Programs:

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).

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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 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 2d argument.

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Source Code:

pwl_interp_1d_test01() plots the piecewise linear interpolant to the data.

pwl_interp_1d_test02() plots the basis functions to the data.


Last modified on 31 January 2020.