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Engineering Math Practice Test: Numerical Methods
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Engineering Math Practice Test: Numerical Methods
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25 Questions

1. Numerical techniques more commonly involve _______
2. Which of the following transformations are allowed in the Gauss Jordan method?
3. The Gauss Jordan method reduces a original matrix into a _____________
4. Which of the following is the advantage of using the Gauss Jordan method?
5. A quadratic equation x4-x-8=0 is defined with an initial guess of 1 and 2. Find the approximated value of x2 using Secant Method.
6. Errors may occur in performing numerical computation on the computer due to which of the following reasons?
7. Secant Method is also called as?
8. Which of the following is an iterative method?
9. Gauss Seidal method is also termed as a method of _______
10. Cramer’s Rule fails for ___________
11. Matrix which does not have an inverse by solving it, is classified as which of the following?
12. What is the value of the determinant \(\begin{pmatrix}3&5&2\\7&4&5\\1&2&3\end{pmatrix}\)?
13. Errors may occur in performing numerical computation on the computer due to which of the following reasons?
14. Numerical techniques more commonly involve _______
15. A quadratic equation x4-x-8=0 is defined with an initial guess of 1 and 2. Find the approximated value of x2 using Secant Method.
16. Find the approximated value of x till 6 iterations for x3-4x+9=0 using Bisection Method. Take a = -3 and b = -2.
17. Which of the following is an iterative method?
18. Which of the following is also known as the Newton Raphson method?
19. Which of the following is also known as the Newton Raphson method?
20. Which of the following is an assumption of Jacobi’s method?
21. If the equation y = aebx can be written in linear form Y=A + BX, what are Y, X, A, B?
22. In Newton Raphson method if the curve f(x) is constant then __________
23. What is the other name for factorization method?
24. If EF exists, then (EF)-1 will be equal to which of the following?
25. Find the inverse of the following matrix?
\(\begin{bmatrix}1&-1&1\\1&1&1\\1&2&4\end{bmatrix}\)

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