(a) Find the value of x when y=0.3 by applying Lagrange's formula inversely. %3D 0.6 y 0.3683 | 0.3332 | 0.2897 0.4 0.8

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PROBLEM FOUR
(a) Find the value of x when y = 0.3 by applying Lagrange's formula inversely.
0.4
0.6
0.8
y 0.3683 | 0.3332 | 0.2897
(b) The following table gives the value of the elliptical integral
de
F(6) = , 1- }sin²e
for certain values of 0.Find the values of 0 if F(0) =0.3887
250
230
F(0) | 0.3706 | 0.4068| 0.4433 |
210
(c) Use Lagrange multipliers to obtain the interpolating polynomial which passes through all
the following points.
-1 0 |1| 2
-1 |0| 15
f(x) 0
Hence use your polynomial to approximate f'(x), f" (x), f"(x), f'(1), f"(1), f" (1).
(d) Using Lagrange's formula, find a polynomial which passes through the points
(0, – 12), (1,0), (3,6), (4, 12)
Mathematics can smile!
(e) Using Lagrange's interpolation formula, find the value of y corresponding to x= 10 from
the following table:
5
11
y= f(x) | 12 | 13
14
16
Sxy2
(f) Given that u = , &r,& and & denote the errors in x,y and z respectively such that
x= y=z=1 and & = &, = & =0.001, then find the relative maximum error in u.
(g) Show that the relative error in quotient of two quantities x and y may be expressed as
difference between the relative ern
and y.
Sxy2
(h) Given that u= , Ɛ, ɛ, and ɛ denote the errors in x,y and z respectively such that
x=y=z=2 and ɛ = ɛy = & = 0.003, then find the relative maximum error in u.
(i) The number x= 37.46235 is rounded off to 4 significant figures.
Compute the percentage error in x.
(j) Obtain an interpolating polynomial using Newton Backward Difference Formula for
1 2
0 15
-1
f(x)
-1
Transcribed Image Text:PROBLEM FOUR (a) Find the value of x when y = 0.3 by applying Lagrange's formula inversely. 0.4 0.6 0.8 y 0.3683 | 0.3332 | 0.2897 (b) The following table gives the value of the elliptical integral de F(6) = , 1- }sin²e for certain values of 0.Find the values of 0 if F(0) =0.3887 250 230 F(0) | 0.3706 | 0.4068| 0.4433 | 210 (c) Use Lagrange multipliers to obtain the interpolating polynomial which passes through all the following points. -1 0 |1| 2 -1 |0| 15 f(x) 0 Hence use your polynomial to approximate f'(x), f" (x), f"(x), f'(1), f"(1), f" (1). (d) Using Lagrange's formula, find a polynomial which passes through the points (0, – 12), (1,0), (3,6), (4, 12) Mathematics can smile! (e) Using Lagrange's interpolation formula, find the value of y corresponding to x= 10 from the following table: 5 11 y= f(x) | 12 | 13 14 16 Sxy2 (f) Given that u = , &r,& and & denote the errors in x,y and z respectively such that x= y=z=1 and & = &, = & =0.001, then find the relative maximum error in u. (g) Show that the relative error in quotient of two quantities x and y may be expressed as difference between the relative ern and y. Sxy2 (h) Given that u= , Ɛ, ɛ, and ɛ denote the errors in x,y and z respectively such that x=y=z=2 and ɛ = ɛy = & = 0.003, then find the relative maximum error in u. (i) The number x= 37.46235 is rounded off to 4 significant figures. Compute the percentage error in x. (j) Obtain an interpolating polynomial using Newton Backward Difference Formula for 1 2 0 15 -1 f(x) -1
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