Numerical analysis | My CS Tutorial |
Paper code: 13512
1512
B.Sc. (Computer Science) (Part 2)
Examination, 2017
Paper No. 1.3
NUMERICAL ANALYSIS
Time: Three Hours]
[Maximum Marks: 50
Note: Attempt five questions. All questions carry equal marks.
1. (a) Use Lagrange’s formula to find f(6) from the following table:
x
2
5
7
10
12
2
5
7
10
12
f(x)
18
180
448
1210
2028
18
180
448
1210
2028
(b) The population (in thousands) of a town in the year 1931, …………, 1971 are as ahead:
Year. Population
1931 15
1941 20
1951 27
1961 39
1971 52
2. (a) Use the Milne’s method to solve the equation with y(0)=0 from x=0 to x=1.Find the population of the town in 1946 by applying Gauss’s backward formula.
(b) Use the Runge-Kutta method to approximate y when x=0.1 given that x=0 when y=2 and \frac{dy}{dx}=y-x.
3. (a) Find a real root of the equation using the Newton-Raphson method.
(b) Find the cube root of 10 correct to three decimal places by Regula-Falsi method.
4. (a) Evaluate by Simpson’s one-third rule by dividing the interval into 6 parts.
(b) Evaluate by Trapezoidal rule.
5. (a) Solve the following equations by Gauss Elimination method:
(b) Solve by Jacobi iteration method the system of equations:
6. (a) State and prove Newton’s-Gregory formula for backward interpolation.
(b) Apply Newton’s dividend difference formula to find the value of f(8) if f91)=3, f(3)=31, f(6)=223, f(10)=1011, f(11)=1343.
7. (a) Find the function in powers of x-1 given that
, , , .
(b) Write short notes on the following:
- Relative Error and Absolute Error
- Percentage Error and Round Off Error
8. (a) Solve the system linear of equations by the Gauss-Seidel method (4 iterations):
(b) Solve the following:
(i) Prove that:
(ii) Prove that:
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