Interpolation: Polynomials with Newton's Divided Difference and Gregory-Newton Forward, Lecture notes of Commercial Law

Interpolation methods, specifically focusing on newton's divided difference formula and gregory-newton forward interpolation. These methods are used to estimate new data points based on a discrete set of known data points. Examples and formulas for deriving third order polynomials and interpolating unknown values.

Typology: Lecture notes

2022/2023

Uploaded on 01/30/2024

rocxel-roi-puso
rocxel-roi-puso 🇵🇭

1 document

1 / 13

Toggle sidebar

This page cannot be seen from the preview

Don't miss anything!

bg1
Nummeth
Interpolation Methods
pf3
pf4
pf5
pf8
pf9
pfa
pfd

Partial preview of the text

Download Interpolation: Polynomials with Newton's Divided Difference and Gregory-Newton Forward and more Lecture notes Commercial Law in PDF only on Docsity!

Nummeth

Interpolation Methods

Interpolation In the mathematical field of numerical analysis, interpolation is a type of estimation, a method of constructing (finding) new data points based on the range of a discrete set of known data points.

Newton’s Divided Difference Formula

  1. The pressure drop that occurs when water flows through an orifice meter is measured using a differential pressure transmitter. The output current is converted to voltage drop by a resistor. The objective is to correlate the flow rate with the voltage drop. The following data were collected from an experiment.

Newton’s Divided Difference Formula F(g/min) (^3 5 6 ) P (mV) (^293 508 585 ) Derive a third order polynomial passing through these data points.

Newton’s Divided Difference Formula To get the nth order interpolating polynomial: p n (x) = f 0

  • (x-x 0 )f 01
  • (x-x 0 )(x-x 1 )f 012
  • (x- x 0 )(x-x 1 )(x-x 2 )f 0123
  • …(x-x 0 )(x-x 1

(x-x n- 1 )f 01234…n

Newton’s Divided Difference Formula x f(x) f[x, x]^1 f[x, x, x]^2 f[x,^ x, x, x]^3 3 293

5 508 - 10. 77.00 0. 6 585 - 4.

9 764 Here, x ≡ F and f(x) ≡ P.

Gregory-Newton Forward Interpolation This method uses formula Where f 0 is the first value of the data set, ∆f 0 , ∆ 2 f 0 , ∆ 3 f 0 are the first, second and third forward differences respectively. The variable r is the difference between an unknown point x and a known point x 1 divided by the interval h, that is, 0 0

Gregory-Newton Forward Interpolation Example: Use the Gregory-Newton forward interpolation to compute f(1.03) from the following data. Note: The formula of is valid only when the values are equally spaced with interval.

Gregory-Newton Forward Interpolation Solution: Answer: 1. 0