google-site-verification: google1d0d38b2a769d149.html IGNOU/GTU/GU Dotcom Books: Assignment July - 2016 & January - 2017 MCSE-004

Sunday, 4 September 2016

Assignment July - 2016 & January - 2017 MCSE-004

MCSE-004

1.     (a)   If 0.333 is the approximate value of 1/3, then find absolute, relative and percentage errors.
                (6 Marks)

        (b)   For x = 0.4845 and y = 0.4800, calculate the value of (x2 – y2) / (x +y) using normalized floating point arithmetic compare value with the value of (x – y).                                  (4 Marks)

2.     (a)   Find the real root of equation f(x) = x3x – 1 = 0 using Bisection method.             (5 Marks)

        (b)   How many iterations of Bisection method are required to be performed, to obtain smallest positive root of x3 – 2x – 5 = 0, correct upto 2 decimal places.        (3 Marks)

        (c)   Use Newton’s method to find root of the equation x3 – 2x – 5 = 0            (5 Marks)

3.     (a)   Use Gauss Elimination to solve
                10x1 – 7x2 = 7;
                -3x1 + 2.099x2 + 6x3 = 3.901;
                5x1x2 + 5x3 = 6.
                Correct to six decimal places of significant digit.

        (b)   Solve Ax = B, where LU decomposition method.

        (c)   Solve the following system of equations using (i) Jacobi Method (ii) Gauss – seidel method
                x + y – z = 0;
                 - x + 3y = Z,
                x – 2z = 3,
                assume the initial solution vector as [ 0.8    0.8    2.1]T                 (10 Marks)

4.     (a)   For the given discrete data find the interpolating polynomial using
                (i)    Lagrange’s interpolation
                (ii)   Newton Divided difference interfdation
xi
0
1
3

Fi
1
3
55


        (b)   Evaluate by using (i) Simpson’s 1/3 rule (ii) Simpson’s 3/8 rule (iii) Weddle’s rule

        (c)   Solve the difference equation (where y(0) = 2) find y(0.1) and y(0.3) correct to four decimal places using
                (i)    Runge-kutta second order formula
                (ii)   Runge-Kutta Fourth order formula



5.     Find the two regression lines from the following data

X
 1
 2
 3
 4
 5
 6
 7
 8
 9
 10

 Y
 10
 12
 16
 28
 25
 36
 41
 49
 40
 50







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