AMIETE – CS/IT (OLD SCHEME)
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NOTE: There are 9 Questions in all.
· Question 1 is compulsory and carries 20 marks. Answer to Q. 1. must be written in the space provided for it in the answer book supplied and nowhere else.
· Out of the remaining EIGHT Questions answer any FIVE Questions. Each question carries 16 marks.
· Any required data not explicitly given, may be suitably assumed and stated.
Q.1
Choose the correct or the best alternative in the following: (2 10)
a. If , then the valued of f[a,
b, c] will be
(A) a+b+c. (B) a-b+c.
(C) a+b-c. (D) a-b-c.
b. The order of convergence for Newton-Raphson Method and Secant Method respectively are
(A) 2, (B)
2,
(C) 2, (D)
2,
c. The order of convergence for the iteration given by to
is
(A) 1. (B) 2.
(C) 3. (D) 4.
d. If is
an eigen value of A, then the eigen value of A-1 is
(A) (B)
(C) - (D)
e. The Langranges interpolation polynomial which passes through the point (0,1), (-1,2) and (1,3) is
(A) (B)
(C) (D)
f. For the Simpson’s th rule, the interpolating
polynomial is a
(A) Straight-line (B) Parabola
(C) Cubic Curve (D) None
g. The value of the
integral using
Gaussian integration formula for n=2 is
(A)
(B)
(C) (D)
None
h. The value of is
(A) (B)
(C) (D) None
i. The value of y corresponding to x =0.1 for the differential
equation using
Euler’s Method is
(A) 1.10 (B) 1.36
(C) 1.94 (D) 2.19
j. Given (n+1)
distinct points and (n+1) ordinates
, there is a
polynomial p(x) that interpolates yi at xi,
i = 0, 1, 2,...,n. This polynomial p(x) is unique among the set of all
polynomials of degree
(A) n (B) at least n
(C) at most n (D) None
Answer any FIVE Questions out of EIGHT Questions.
Each question carries 16 marks.
Q.2 a. Show that the given sequence has Convergence of the second order.
(8)
b. Using
Newton-Raphson Method, solve x = , where N is a positive real
number. Apply the methods to N =18 to obtain the results Correct to two decimal
places. (8)
Q.3 a. Solve the system of equations
using Decomposition (LU) Method (8)
b. Find
the inverse of the matrix by the Cholesky method. (8)
Q.4 a. Find the largest eigen value in modulus and Corresponding eigen vector of the Matrix.
using power method. (8)
b. Find all the eigen values and eigen vector of the matrix.
by Jacobi
Method. (8)
Q.5 a. Given that f (0) = 1, f (1) = 3, f (3) = 55, find the unique polynomial of degree 2 or less, which fits the given data. Find the bound on the error. (8)
b. Using the data sin(0.1) = 0.09983 and sin(0.2) = 0.19867, find an approximate value of sin(0.15) by Lagrange interpolation. Obtain a bound on the truncation error. (8)
Q.6 a. A differentiation rule of
the form
where
is
given. Find the values of
and
so the rule is exact for
. Find the error
term. (8)
b. Evaluate the integral using Composite
trapezoidal rule with
N = 2,4 equal subinterval. (8)
Q.7 a. Evaluate the integral using Gauss-Legendre three
point formula.
(8)
b. Apply
Runge-Kutta method to find an approximate value of y at x = 0.2 in the step of
0.1, if ;
given that y =1 when x = 0. (8)
Q.8 a. Evaluate using the
Gauss-Laguerre two- point formula compare with the exact solution. (8)
b. Perform five iterations of the bisection method to obtain the smallest positive root of the equation f (x) = x3 – 5x + 1 = 0. (8)
Q.9 a. For the following data, calculate the differences and obtain the forward and backward difference polynomials. Interpolate at x = 0.25 and x = 0.35. (8)
x |
0.1 |
0.2 |
0.3 |
0.4 |
0.5 |
f (x) |
1.40 |
1.56 |
1.76 |
2.00 |
2.28 |
b. Obtain a linear polynomial approximation to the function f(x) = x3 on the interval [0,1] using least squares approximation with W(x) =1. (8)