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BSc IT - Numerical Methods
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BSc IT - Numerical Methods
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25 Questions

1. If the system of linear equations x + 2ay + az = 0; x + 3by + bz = 0; x + 4cy + cz = 0 have a non-zero solution, then a, b, c_______.
2. The (n+1)th polynomial of a degree n is ___________.
3. Simpson's 1/3rd rule of integration is exact for all polynomials of degree not exceeding ____________.
4. Romberg's method is also known as__________.
5. A smooth curve that can be drawn to pass through near the plotted points is called _______.
6. The line obtained by the method of least square is known as the line of __________.
7. Modification of __________ is called Romberg's method.
8. If the value of derivative is required near the middle of the table we use ________ formula.
9. _______is derived from Newton's Cotes Formula.
10. The power method for approximating Eigen value is _________ method.
11. Lagrange's interpolation formula is used to compute the values for _______ intervals.
12. Gauss Elimination Method & Gauss Jordan Methods are ___________ methods.
13. A root of the equation x power x=100 lies between ________.
14. Which of the following is true?
15. The nth difference of a polynomial of nth degree is_______.
16. The two segment trapezoidal rule of integration is exact for integrating at most ________ order polynomials.
17. The root of the equation e power x=4x lies between________.
18. A function which satisfies the differential equations is called _____ of a differential equation.
19. Newton forward interpolation formula is used for ____________ intervals.
20. Let f is _________ on (a, b) and f(a)
21. The nth differences of a polynomial of __________ degree are constants.
22. The order of Euler method is _________.
23. Backward substitution method is applied in _______________.
24. If a set of numerical values of a single valued integral function f(x), is applied to integral f(x) , then the process is known as___________.
25. The forward difference operator is denoted by the symbol __________.

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