This paper discusses teaching polynomial interpolation with the help of Mathematica. The symbolic power of Mathematica is utilized to prove a theorem for the error term in Lagrange interpolating formula. Derivation of the Lagrange formula is provided symbolically and numerically. Runge phenomenon is also illustrated. A simple and efficient symbolic derivation of cubic splines is also provided
The paper deals with an improved algorithm for estimating errors during approximate symbolic analysi...
AbstractWe briefly survey several existing methods for solving polynomial systems with inexact coeff...
[[abstract]]A general interpolating formula and few particular corrected inter- polating polynomials...
This paper presents a new symbolic algorithm for polynomial interpolation with integral conditions a...
AbstractPolynomial interpolation and related numerical analysis questions are used to take users of ...
The problem of constructing such a continuous function is called data fitting. Many times, data give...
The contents of this book include chapters on floating point computer arithmetic, natural and genera...
AbstractWe give an algorithm for the interpolation of a polynomial A given by a straight-line progra...
This thesis present the theory and implementation of Lagrange polynomial interpolation. We study and...
A novel approach for teaching interpolation in the introductory course in numerical analysis is pres...
This thesis investigates eigenvalue techniques for the location of roots of polynomials expressed in...
AbstractComputational methods for manipulating sets of polynomial equations are becoming of greater ...
<p>The interpolation polynomial of Lagrange is used for the functions of one variable. In this artic...
Interpolation is the process of defining a function that takes on specified values at specified poin...
Runge's phenomenon illustrates the error that can occur when constructing a polynomial interpolant o...
The paper deals with an improved algorithm for estimating errors during approximate symbolic analysi...
AbstractWe briefly survey several existing methods for solving polynomial systems with inexact coeff...
[[abstract]]A general interpolating formula and few particular corrected inter- polating polynomials...
This paper presents a new symbolic algorithm for polynomial interpolation with integral conditions a...
AbstractPolynomial interpolation and related numerical analysis questions are used to take users of ...
The problem of constructing such a continuous function is called data fitting. Many times, data give...
The contents of this book include chapters on floating point computer arithmetic, natural and genera...
AbstractWe give an algorithm for the interpolation of a polynomial A given by a straight-line progra...
This thesis present the theory and implementation of Lagrange polynomial interpolation. We study and...
A novel approach for teaching interpolation in the introductory course in numerical analysis is pres...
This thesis investigates eigenvalue techniques for the location of roots of polynomials expressed in...
AbstractComputational methods for manipulating sets of polynomial equations are becoming of greater ...
<p>The interpolation polynomial of Lagrange is used for the functions of one variable. In this artic...
Interpolation is the process of defining a function that takes on specified values at specified poin...
Runge's phenomenon illustrates the error that can occur when constructing a polynomial interpolant o...
The paper deals with an improved algorithm for estimating errors during approximate symbolic analysi...
AbstractWe briefly survey several existing methods for solving polynomial systems with inexact coeff...
[[abstract]]A general interpolating formula and few particular corrected inter- polating polynomials...