Can anyone explain me how to use this program function y=lagrange(x,pointx,pointy)%%LAGRANGE approx a point-defined function using the Lagrange polynomial interpolation%% LAGRANGE(X,POINTX,POINTY) approx the function definited by the points:% P1=(POINTX(1),POINTY(1)), P2=(POINTX(2),POINTY(2)). Tiberium Wars V1 09 Patch Crack In Concrete on this page. , PN(POINTX(N),POINTY(N))% and calculate it in each elements of X%% If POINTX and POINTY have different number of elements the function will return the NaN value%% function wrote by: Calzino% 7-oct-2001% n=size(pointx,2); L=ones(n,size(x,2)); if (size(pointx,2)~=size(pointy,2)) fprintf(1,' nERROR! NPOINTX and POINTY must have the same number of elements n'); y=NaN; else for i=1:n for j=1:n if (i~=j) L(i,:)=L(i,:).*(x-pointx(j))/(pointx(i)-pointx(j)); end end end y=0; for i=1:n y=y+pointy(i)*L(i,:); end end.

Cubic Spline Interpolation Up: Interpolation and Extrapolation Previous: The Newton Polynomial Interpolation Hermite Interpolation. If the first derivatives of the. Reformulate the polynomial inequalities b−P(t)x ≥ 0 as linear semidefinite optimization constraints using Theorem 4 (if Lagrange interpolation is used) or Theorem 5 (for Hermite interpolation). If the degree of the components of P() is high, use the procedure in Section 4 to or- thogonalize the semidefinite. Suzuki Diagnostic System Download.