RBF_INTERP_1D
Radial Basis Function Interpolation in 1D
RBF_INTERP_1D
is a Python library which
defines and evaluates radial basis function (RBF) interpolants to 1D data.
A radial basis interpolant is a useful, but expensive, technique for
definining a smooth function which interpolates a set of function values
specified at an arbitrary set of data points.
Given nd multidimensional points xd with function values fd, and a
basis function phi(r), the form of the interpolant is
f(x) = sum ( 1 <= i <= nd ) w(i) * phi(xxd(i))
where the weights w have been precomputed by solving
sum ( 1 <= i <= nd ) w(i) * phi(xd(j)xd(i)) = fd(j)
Although the technique is generally applied in a multidimensional setting,
in this directory we look specifically at the case involving
1D data. This allows us to easily plot and compare the various
results.
Four families of radial basis functions are provided.

phi1(r) = sqrt ( r^2 + r0^2 ) (multiquadric)

phi2(r) = 1 / sqrt ( r^2 + r0^2 ) (inverse multiquadric)

phi3(r) = r^2 * log ( r / r0 ) (thin plate spline)

phi4(r) = exp ( 0.5 r^2 / r0^2 ) (gaussian)
Each uses a
"scale factor" r0, whose value is recommended to be greater than
the minimal distance between points, and rather less than the maximal distance.
Changing the value of r0 changes the shape of the interpolant function.
Licensing:
The computer code and data files described and made available on this web page
are distributed under
the GNU LGPL license.
Languages:
RBF_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 library 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 library 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 library 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 library which
interpolates a set of data using a piecewise constant interpolant
defined by the nearest neighbor criterion.
NEWTON_INTERP_1D,
a Python library which
finds a polynomial interpolant to data using Newton divided differences.
PWL_INTERP_1D,
a Python library which
interpolates a set of data using a piecewise linear interpolant.
RBF_INTERP_2D,
a Python library which
defines and evaluates radial basis function (RBF) interpolants
to 2D data.
SHEPARD_INTERP_1D,
a Python library which
defines and evaluates Shepard interpolants to 1D data,
which are based on inverse distance weighting.
TEST_INTERP,
a Python library which
defines a number of test problems for interpolation,
provided as a set of (x,y) data.
TEST_INTERP_1D,
a Python library which
defines test problems for interpolation of data y(x),
depending on a 2D argument.
VANDERMONDE_INTERP_1D,
a Python library which
finds a polynomial interpolant to a function of 1D data
by setting up and solving a linear system for the polynomial coefficients,
involving the Vandermonde matrix.
Reference:

Richard Franke,
Scattered Data Interpolation: Tests of Some Methods,
Mathematics of Computation,
Volume 38, Number 157, January 1982, pages 181200.

William Press, Brian Flannery, Saul Teukolsky, William Vetterling,
Numerical Recipes in FORTRAN: The Art of Scientific Computing,
Third Edition,
Cambridge University Press, 2007,
ISBN13: 9780521880688,
LC: QA297.N866.
Source Code:
The test program makes a number of plots.

p01_data.png,
the data for problem p01 with a linear interpolant.

p01_phi1_poly.png,
the data for problem p01 with a PHI1 RBF interpolant.

p01_phi2_poly.png,
the data for problem p01 with a PHI2 RBF interpolant.

p01_phi3_poly.png,
the data for problem p01 with a PHI3 RBF interpolant.

p01_phi4_poly.png,
the data for problem p01 with a PHI4 RBF interpolant.

p02_data.png,
the data for problem p02 with a linear interpolant.

p02_phi1_poly.png,
the data for problem p02 with a PHI1 RBF interpolant.

p02_phi2_poly.png,
the data for problem p02 with a PHI2 RBF interpolant.

p02_phi3_poly.png,
the data for problem p02 with a PHI3 RBF interpolant.

p02_phi4_poly.png,
the data for problem p02 with a PHI4 RBF interpolant.

p03_data.png,
the data for problem p03 with a linear interpolant.

p03_phi1_poly.png,
the data for problem p03 with a PHI1 RBF interpolant.

p03_phi2_poly.png,
the data for problem p03 with a PHI2 RBF interpolant.

p03_phi3_poly.png,
the data for problem p03 with a PHI3 RBF interpolant.

p03_phi4_poly.png,
the data for problem p03 with a PHI4 RBF interpolant.

p04_data.png,
the data for problem p04 with a linear interpolant.

p04_phi1_poly.png,
the data for problem p04 with a PHI1 RBF interpolant.

p04_phi2_poly.png,
the data for problem p04 with a PHI2 RBF interpolant.

p04_phi3_poly.png,
the data for problem p04 with a PHI3 RBF interpolant.

p04_phi4_poly.png,
the data for problem p04 with a PHI4 RBF interpolant.

p05_data.png,
the data for problem p05 with a linear interpolant.

p05_phi1_poly.png,
the data for problem p05 with a PHI1 RBF interpolant.

p05_phi2_poly.png,
the data for problem p05 with a PHI2 RBF interpolant.

p05_phi3_poly.png,
the data for problem p05 with a PHI3 RBF interpolant.

p05_phi4_poly.png,
the data for problem p05 with a PHI4 RBF interpolant.

p06_data.png,
the data for problem p06 with a linear interpolant.

p06_phi1_poly.png,
the data for problem p06 with a PHI1 RBF interpolant.

p06_phi2_poly.png,
the data for problem p06 with a PHI2 RBF interpolant.

p06_phi3_poly.png,
the data for problem p06 with a PHI3 RBF interpolant.

p06_phi4_poly.png,
the data for problem p06 with a PHI4 RBF interpolant.

p07_data.png,
the data for problem p07 with a linear interpolant.

p07_phi1_poly.png,
the data for problem p07 with a PHI1 RBF interpolant.

p07_phi2_poly.png,
the data for problem p07 with a PHI2 RBF interpolant.

p07_phi3_poly.png,
the data for problem p07 with a PHI3 RBF interpolant.

p07_phi4_poly.png,
the data for problem p07 with a PHI4 RBF interpolant.

p08_data.png,
the data for problem p08 with a linear interpolant.

p08_phi1_poly.png,
the data for problem p08 with a PHI1 RBF interpolant.

p08_phi2_poly.png,
the data for problem p08 with a PHI2 RBF interpolant.

p08_phi3_poly.png,
the data for problem p08 with a PHI3 RBF interpolant.

p08_phi4_poly.png,
the data for problem p08 with a PHI4 RBF interpolant.
You can go up one level to
the Python source codes.
Last modified on 29 July 2017.