Chapter 3  Interpolation and Polynomial Approximation

 

Interpolation for Monotonically Increasing Discrete Nodes

 

   Lagrange interpolation polynomial

In the software, given , with  being monotically increasing, then there exists a unique polynomial  of degree at most  with the property that

,           for each

This polynomial is give by

where

, for each

 

   Hermite interpolation polynomial

In the software, given , with  being monotically increasing, and   being equal to the slope of the light blue dash bar associated with each , then there exists a unique polynomial  of degree at most  agreeing with  and  at , where

where                ,

and                          

 denotes the  th Lagrange coefficient polynomail of degree .

 

   Natural cubic spline and Clamped cubic spline

In the software, given , with  being monotically increasing, a cubic spline interpolant, , for , is a function that satisfies the following conditions:

a.       is a cubic polynomial,denoted , on the subinterval , where   

    

b.

c.

d.

e.

f.  One of the following set of boundary conditions is satisfied:

i free or nature boundary;

ii and    (clamped boundary,

     where  and  are equal to the slope of the light blue 

     dash bar associated with  and .

 

 

References:

【1】         R. L. Burden and J. D. Faires, Numerical Analysis, PWS, Boston, 1993.