Newtons Divided Difference Polynomial Method of Interpolation Industrial

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Newton’s Divided Difference Polynomial Method of Interpolation Industrial Engineering Majors Authors: Autar Kaw, Jai

Newton’s Divided Difference Polynomial Method of Interpolation Industrial Engineering Majors Authors: Autar Kaw, Jai Paul http: //numericalmethods. eng. usf. edu Transforming Numerical Methods Education for STEM Undergraduates http: //numericalmethods. eng. usf. edu 1

Newton’s Divided Difference Method of Interpolation http: //numericalmethods. eng. usf. edu

Newton’s Divided Difference Method of Interpolation http: //numericalmethods. eng. usf. edu

What is Interpolation ? Given (x 0, y 0), (x 1, y 1), ……

What is Interpolation ? Given (x 0, y 0), (x 1, y 1), …… (xn, yn), find the value of ‘y’ at a value of ‘x’ that is not given. 3 lmethods. eng. usf. edu http: //numerica

Interpolants Polynomials are the most common choice of interpolants because they are easy to:

Interpolants Polynomials are the most common choice of interpolants because they are easy to: Evaluate Differentiate, and Integrate. 4 lmethods. eng. usf. edu http: //numerica

Newton’s Divided Difference Method Linear interpolation: Given linear interpolant through the data pass a

Newton’s Divided Difference Method Linear interpolation: Given linear interpolant through the data pass a where 5 lmethods. eng. usf. edu http: //numerica

Example A curve needs to be fit through the given points to fabricate the

Example A curve needs to be fit through the given points to fabricate the cam. If the cam follows a straight line profile between x = 1. 28 to x = 0. 66, what is the value of y at x=1. 1 ? Find using the Newton’s divided difference method for linear interpolation. Point 1 2 3 4 5 6 7 6 x (in. ) y (in. ) 2. 20 0. 00 1. 28 0. 88 0. 66 1. 14 0. 00 1. 20 – 0. 60 1. 04 – 1. 04 0. 60 – 1. 20 0. 00 4 3 5 2 6 Y 7 1 X lmethods. eng. usf. edu http: //numerica

Linear Interpolation 7 lmethods. eng. usf. edu http: //numerica

Linear Interpolation 7 lmethods. eng. usf. edu http: //numerica

Linear Interpolation (contd) 8 lmethods. eng. usf. edu http: //numerica

Linear Interpolation (contd) 8 lmethods. eng. usf. edu http: //numerica

Quadratic Interpolation 9 lmethods. eng. usf. edu http: //numerica

Quadratic Interpolation 9 lmethods. eng. usf. edu http: //numerica

Example A curve needs to be fit through the given points to fabricate the

Example A curve needs to be fit through the given points to fabricate the cam. If the cam follows a straight line profile between x = 1. 28 to x = 0. 66, what is the value of y at x=1. 1 ? Find using the Newton’s divided difference method for quadratic interpolation. Point 1 2 3 4 5 6 7 10 x (in. ) y (in. ) 2. 20 0. 00 1. 28 0. 88 0. 66 1. 14 0. 00 1. 20 – 0. 60 1. 04 – 1. 04 0. 60 – 1. 20 0. 00 4 3 5 2 6 Y 7 1 X lmethods. eng. usf. edu http: //numerica

Quadratic Interpolation (contd) 11 lmethods. eng. usf. edu http: //numerica

Quadratic Interpolation (contd) 11 lmethods. eng. usf. edu http: //numerica

Quadratic Interpolation (contd) 12 lmethods. eng. usf. edu http: //numerica

Quadratic Interpolation (contd) 12 lmethods. eng. usf. edu http: //numerica

Quadratic Interpolation (contd) 13 lmethods. eng. usf. edu http: //numerica

Quadratic Interpolation (contd) 13 lmethods. eng. usf. edu http: //numerica

General Form where Rewriting 14 lmethods. eng. usf. edu http: //numerica

General Form where Rewriting 14 lmethods. eng. usf. edu http: //numerica

General Form 15 lmethods. eng. usf. edu http: //numerica

General Form 15 lmethods. eng. usf. edu http: //numerica

General form 16 lmethods. eng. usf. edu http: //numerica

General form 16 lmethods. eng. usf. edu http: //numerica

Example A curve needs to be fit through the given points to fabricate the

Example A curve needs to be fit through the given points to fabricate the cam. If the cam follows a straight line profile between x = 1. 28 to x = 0. 66, what is the value of y at x=1. 1 ? Find using the Newton’s divided difference method for a sixth order polynomial. Point 1 2 3 4 5 6 7 17 x (in. ) y (in. ) 2. 20 0. 00 1. 28 0. 88 0. 66 1. 14 0. 00 1. 20 – 0. 60 1. 04 – 1. 04 0. 60 – 1. 20 0. 00 4 3 5 2 6 Y 7 1 X lmethods. eng. usf. edu http: //numerica

Example 18 lmethods. eng. usf. edu http: //numerica

Example 18 lmethods. eng. usf. edu http: //numerica

Example 19 lmethods. eng. usf. edu http: //numerica

Example 19 lmethods. eng. usf. edu http: //numerica

Example 20 lmethods. eng. usf. edu http: //numerica

Example 20 lmethods. eng. usf. edu http: //numerica

Example 21 lmethods. eng. usf. edu http: //numerica

Example 21 lmethods. eng. usf. edu http: //numerica

Additional Resources For all resources on this topic such as digital audiovisual lectures, primers,

Additional Resources For all resources on this topic such as digital audiovisual lectures, primers, textbook chapters, multiple-choice tests, worksheets in MATLAB, MATHEMATICA, Math. Cad and MAPLE, blogs, related physical problems, please visit http: //numericalmethods. eng. usf. edu/topics/newton_div ided_difference_method. html

THE END http: //numericalmethods. eng. usf. edu

THE END http: //numericalmethods. eng. usf. edu