midterm past paper quiz
midterm past paper quiz

MTH603 Midterm Past Paper

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Practice Quiz from MTH603 Midterm Past Paper

This quiz will evaluate your preparation for the MTH603 midterm examination and it is based on the past papers of MTH603. The purpose of this quiz is to evaluate your performance in this subject. If you can pass this quiz, then there is a great chance that you can secure good marks in your exams.





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MTH603

midterm past paper quiz

MTH603 Midterm Past Papers Practice Quiz

Welcome to MTH603 Midterm Online Practice Quiz.

You can check your preparation of MTH603 for your Exams here.

Questions Will be different every time you will attempt.

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Category: MTH603-mid

1. Eigenvectors of a symmetric matrix are orthogonal, but only for distinct eigenvalues

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2. The Trapezoidal rule is a numerical method that approximates the value of a.______________.

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3. The characteristics polynomial of a 3x 3 identity matrix is __________, if x is the eigen values of the given 3 x 3 identity matrix. where symbol ^ shows power

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4. Power method is applicable if the eigen vectors corresponding to eigen values are linearly independent.

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5. Central difference method seems to be giving a better approximation, however it requires more computations.

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6. In …………… method, a system is reduced to an equivalent diagonal form using elementary transformations.

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7. If the Relaxation method is applied on the system; 2x+3y = 1, 3x +2y = - 4, then largest residual in 1st iteration will reduce to -------.

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8. Under elimination methods, we consider, Gaussian elimination and ……………methods.

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9. If x is an eigen value corresponding to eigen value of V of a matrix A. If a is any constant, then x – a is an eigen value corresponding to eigen vector V is an of the matrix A - a I.

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10. Iterative algorithms can be more rapid than direct methods

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11. While using Relaxation method, which of the following is the largest Residual for 1st iteration on the system; 2x+3y = 1, 3x +2y = - 4 ?

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12. The can be used only to find the eigenvalue of A that is largest in absolute value—we call this eigenvalue the dominant eigenvalue of A

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13. If the root of the given equation lies between a and b, then the first approximation to the root of the equation by bisection method is ……

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14. Sparse matrix is a matrix with ……….

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15. While solving a system of linear equations, which of the following approach is economical for the computer memory?

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16. Differences methods find the ________ solution of the system.

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17. Gauss - Jordan Method is similar to ……….

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18. Which of the following method is not an iterative method?

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19. The determinant of a _______ matrix is the product of the diagonal elements

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20. An improper integral is the limit of a definite integral as an endpoint of the interval of integration approaches either a specified real number or ∞ or -∞ or, in some cases as both endpoints approach limits.

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21. The Gauss-Seidel method is applicable to strictly diagonally dominant or symmetric positive definite matrices A.

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22. Below are all the finite difference methods EXCEPT _________.

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23. An eigenvector V is said to be normalized if the coordinate of largest magnitude is equal to zero

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24. Power method is applicable if the eigen values are ______________.

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25. The Jacobi’s method is a method of solving a matrix equation on a matrix that has no zeros along its ________.

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26. An indefinite integral may _________ in the sense that the limit defining it may not exist

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27. The basic idea of relaxation method is to reduce the largest residual to ………….

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28. Sparse matrices arise in computing the numerical solution of …………….

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29. Generally, Adams methods are superior if output at many points is needed

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30. Simpson’s rule is a numerical method that approximates the value of a definite integral by using polynomials

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Note before downloading MTH603 midterm past paper

One thing to note dear fellows that you must don’t rely on these papers only. They can be a source of help but not an ultimate solution. If you want to get good marks in your exams you are advised to go through all of your handouts and must watch all of the video lectures.

Golden rules for good marks in VU Exams.

As per my experience, I have developed some golden rules for getting good marks in Virtual University Exams based on experience. I got 3.96 CGPA by following these rules. So here they are:

  1. Never miss your Quiz, Assignment, or GDB.
  2. Always try to do your Assignment on your own.
  3. Try your best to finish your video lectures 10 days before exams.
  4. Try your best to read your handouts twice before exams.
  5. Read forward attempt backward.
  6. Never schedule more than one paper on the same day.
  7. Your most difficult paper should have a gap of 1 or more days.
  8. Toughest paper must be scheduled first.
  9. Read questions forward and attempt backward.
  10. Don’t waste your time during a paper on illegal activities.




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To download the MTH603 midterm past paper click here.