سال انتشار: ۱۳۸۶

محل انتشار: سی و هشتمین کنفرانس ریاضی ایران

تعداد صفحات: ۳

نویسنده(ها):

SOHRAB EFFATI – Department of Mathematics, Teacher training University of Sabzevar, Iran
M HOSEINI –

چکیده:

In this paper, we introduce a new technique for determining interpolating cubic spline functions with clamped boundary conditon. By intriducing an artificial cost functional and use the important minimum-norm property of spline functions, the problem is modified into one consisting of the minimaization of a positine linear functional over a set of Radon measures. Then we obtain an optimal measure which is approximated by a finite combination of atomic measures, and by using atomic measures we change this one to a finite dimensional linear programming problem. Finally we find a piecewies constant optimal function on every subinterval and then the approximated interpolating cubic spline functions. Some examples are given show the procedure.