Interpolation-Methods of Numerical Analysis-Assignment, Exercises of Mathematical Methods for Numerical Analysis and Optimization

Solution of Transcendental Equations, Solution of Transcendental Equations, Curve Fitting, Calculus of Finite Difference, Interpolation, Numerical Differentiation, Numerical Integration are main topics for this course. This assignment includes: Interpolation, Newton, Forward, Difference, Backward, Formula. Langrange, Divided, Polynomial, Error, Degree

Typology: Exercises

2011/2012

Uploaded on 08/07/2012

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Problem Sheet on Interpolation
Q -1. Find y(3.2) from the following data:
x : 0 1 2 3 4 5
y: 0 1 14 51 124 245
using:
(a) Gregory Newton Forward Difference interpolation Formula
(b) Gregory Newton Backward Difference interpolation Formula
(c) Lagrange Interpolation Formula
(d) Newton’s Divided Difference interpolation Formula
Comment on the accuracy of your results.
Q -2. Make Lagrange Polynomial for the data:
(xi , yi) = (-2, 0), (0, 2), (1, 0), (2, 4)
and hence find: y (1.1), y (2.1), y (2.5)
Comment on the error involved in these interpolated values
Q -3. Using a suitable interpolation formula, find
(2.3) from the data
x : 0 1 4 5
(x): 0 0.25 16 31.25
Q -4. What is the degree of the interpolation polynomial for the data
(1, 5), (2, 18), (3, 37), (4, 62), (5, 93)
Q -5. The following table gives pressure of a steam at a given temperature. Using
Newton’s formula, compute the pressure for a temperature of 142oC.
_______________________________________________________
Temperature, oC 140 150 160 170 180
Pressure, kgf/cm2 3.685 4.854 6.302 8.076 10.225
__________________________________________________________________________________
Q -6. Find Newton’s backward interpolating polynomial for the following data:
________________________________________________
x 1 2 3 4 5
y 1 -1 1 -1 1
_________________________________________________________________________
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Problem Sheet on Interpolation

Q -1. Find y(3.2) from the following data:

x : 0 1 2 3 4 5 y: 0 1 14 51 124 245 using: (a) Gregory – Newton Forward Difference interpolation Formula (b) Gregory – Newton Backward Difference interpolation Formula (c) Lagrange Interpolation Formula (d) Newton’s Divided Difference interpolation Formula

Comment on the accuracy of your results.

Q -2. Make Lagrange Polynomial for the data:

(xi , yi) = (-2, 0), (0, 2), (1, 0), (2, 4) and hence find: y (1.1), y (2.1), y (2.5) Comment on the error involved in these interpolated values

Q -3. Using a suitable interpolation formula, find  (2.3) from the data

x : 0 1 4 5

 (x): 0 0.25 16 31.

Q -4. What is the degree of the interpolation polynomial for the data

(1, 5), (2, 18), (3, 37), (4, 62), (5, 93)

Q -5. The following table gives pressure of a steam at a given temperature. Using Newton’s formula, compute the pressure for a temperature of 142oC.


Temperature, oC 140 150 160 170 180 Pressure, kgf/cm^2 3.685 4.854 6.302 8.076 10.


Q -6. Find Newton’s backward interpolating polynomial for the following data: ________________________________________________ x 1 2 3 4 5 y 1 -1 1 -1 1


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Q -7. A second degree polynomial passes through (0, 1) (1, 3) (2, 7) and (3, 13). Find the polynomial, using Newton’s forward difference formula.

Q -8. Find the interpolating polynomial for the function f ( x ) given by __________________________________________ x 0 1 2 5 y=f(x) 2 3 12 147


Q -9. Find the interpolating polynomial for the following data using Lagrange’s formula ___________________________________________________ x 1 2 - y =f(x) 3 -5 4


Q -10. Find the interpolating polynomial by (i) Newton’s divided difference formula (ii) Lagrange’s formula, for the following data and hence show that both the methods give raise to the same polynomial. ___________________________________________________ x 1 2 3 5 y 0 7 26 124


Answers

Q -1. 62.336 Q -2. x^3 -3 x + 2

Q -3. 3.04175 Q -4. 2

Q -5. 3.8988 Kg f / cm^2 Q -6. y (x) = 1 / 3 (2x^4 – 24x^3 + 100x^2 – 168x + 93)

Q -7. f (x) = x^2 +x + 1 Q -8. f (x)^3 + x^2 – x + 2

Q -9. y = - 1 / 30 (39x^2 + 123 x – 252) Q -10. x^3 – 1

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