hermite_cubic


hermite_cubic, a FORTRAN77 code which demonstrates the use of cubic polynomials in the Hermite form.

The Hermite Cubic

The Hermite form of a cubic polynomial defines the polynomial p(x) by specifying two distinct points x1 and x2, and providing values for the following four items:

        f1 = p(x1)
        d1 = p'(x1)
        f2 = p(x2)
        d2 = p'(x2)
      
The locations of the abscissas and the four data values are enough to uniquely define a cubic polynomial, known as the Hermite cubic.

From the Hermite cubic representation, it is possible to determine the standard power series form:

        p(x) = c0 + c1 * x + c2 * x2 + c3 * x3
      

It is possible, given any value of the argument x and the data values that define the Hermite cubic polynomial, to determine the value of p(x), as well as the values of the first, second and third derivatives.

It is possible, given two values of the argument x3 and x4, and the data values that define the Hermite cubic polynomial, to determine the value of the integral of p(x) over the interval [x3,x4].

Hermite Cubic Splines:

A sequence of Hermite cubic polynomials can be used to produce a piecewise cubic Hermite interpolant, if we are given a strictly increasing sequence of n nodes x(1:n), and corresponding data vectors f(1:n) and d(1:n). This is done by defining n-1 cubic Hermite polynomials, with the i-th polynomial defined using the data at nodes x(i) and x(i+1). The resulting function interpolates the value and derivative data, and is continuous and continuously differentiable everywhere, and in particular, at the nodes.

Licensing:

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

Languages:

hermite_cubic is available in a C version and a C++ version and a Fortran90 version and a MATLAB version and an Octave version.

Related Data and Programs:

hermite_cubic_test

bernstein_polynomial, a FORTRAN77 library which evaluates the Bernstein polynomials, useful for uniform approximation of functions;

chebyshev, a FORTRAN77 library which computes the Chebyshev interpolant/approximant to a given function over an interval.

divdif, a FORTRAN77 library which computes divided difference polynomials from data;

HERMITE, a FORTRAN77 library which computes the Hermite interpolant, a polynomial that matches function values and derivatives.

NMS, a FORTRAN77 library which includes a wide variety of numerical software, including solvers for linear systems of equations, interpolation of data, numerical quadrature, linear least squares data fitting, the solution of nonlinear equations, ordinary differential equations, optimization and nonlinear least squares, simulation and random numbers, trigonometric approximation and Fast Fourier Transforms.

SPLINE, a FORTRAN77 library which includes many routines to construct and evaluate spline interpolants and approximants.

TEST_INTERP_1D, a FORTRAN77 library which defines test problems for interpolation of data y(x), depending on a 1D argument.

TOMS446, a FORTRAN77 library which manipulates Chebyshev series for interpolation and approximation;
this is a version of ACM TOMS algorithm 446, by Roger Broucke.

Reference:

  1. Fred Fritsch, Ralph Carlson,
    Monotone Piecewise Cubic Interpolation,
    SIAM Journal on Numerical Analysis,
    Volume 17, Number 2, April 1980, pages 238-246.

Source Code:


Last modified on 20 October 2023.