MTH603 Midterm Past Paper online Practice Quiz

664
midterm past paper quiz
midterm past paper quiz

MTH603 Midterm Past Paper

You have come here while searching for MTH603 midterm past papers. But before going to download the MTH603 midterm past paper. I have a better option for you. That is, that you can attempt the online quiz of MTH603.

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.





0%
0 votes, 0 avg
0

Your Time starts now

Times Up


Created on By faisal_faisi

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.

1 / 30

Category: MTH603-mid

1. While solving by Gauss-Seidel method, which of the following is the first Iterative solution for the system; x-2y =1, x+4y=4 ?

2 / 30

Category: MTH603-mid

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

3 / 30

Category: MTH603-mid

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

4 / 30

Category: MTH603-mid

4. The Jacobi iteration converges, if A is strictly diagonally dominant.

5 / 30

Category: MTH603-mid

5. Which of the following is equivalent form of the system of equations in matrix form; AX=B ?

6 / 30

Category: MTH603-mid

6. By using determinants, we can easily check that the solution of the given system of linear equation ______ and it is ______.

7 / 30

Category: MTH603-mid

7. ............lies in the category of iterative method.

8 / 30

Category: MTH603-mid

8. Eigenvalues of a symmetric matrix are all _______

9 / 30

Category: MTH603-mid

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

10 / 30

Category: MTH603-mid

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

11 / 30

Category: MTH603-mid

11. Central Difference method is the finite difference method.

12 / 30

Category: MTH603-mid

12. Differences methods are iterative methods.

13 / 30

Category: MTH603-mid

13. While solving the system; x–2y = 1, x+4y = 4 by Gauss-Seidel method, which of the following ordering
is feasible to have good approximate solution?

14 / 30

Category: MTH603-mid

14. The base of the decimal system is _______

15 / 30

Category: MTH603-mid

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

16 / 30

Category: MTH603-mid

16. While solving a system of linear equations by Gauss Jordon Method, after all the elementary row operations if there lefts also zeros on the main diagonal then which of the is true about the system?

17 / 30

Category: MTH603-mid

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

18 / 30

Category: MTH603-mid

18. Eigenvalues of a _________ matrix are all real

19 / 30

Category: MTH603-mid

19. If A is a nxn triangular matrix (upper triangular, lower triangular) or diagonal matrix ,the eigenvalues of A are the diagonal entries of

20 / 30

Category: MTH603-mid

20. A 3 x 3 identity matrix have three and __________eigen values

21 / 30

Category: MTH603-mid

21. Two matrices with the same characteristic polynomial need not be similar

22 / 30

Category: MTH603-mid

22. Gauss–Seidel method is also known as method of …………….

23 / 30

Category: MTH603-mid

23. The predictor-corrector method an implicit method. (multi-step methods)

24 / 30

Category: MTH603-mid

24. 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 ……

25 / 30

Category: MTH603-mid

25. The eigenvectors of a square matrix are the non-zero vectors that, after being multiplied by the matrix, remain …………… to the original vector.

26 / 30

Category: MTH603-mid

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

27 / 30

Category: MTH603-mid

27. In Jacobi’s Method, the rate of convergence is quite ______ compared with other methods

28 / 30

Category: MTH603-mid

28. Bisection and false position methods are also known as bracketing method and are always

29 / 30

Category: MTH603-mid

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

30 / 30

Category: MTH603-mid

30. Gauss–Seidel method is similar to ……….

Your score is

The average score is 0%

Share your results with your fellow students

LinkedIn Facebook Twitter VKontakte
0%

Exit

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.




You can also download the Latest VU Handouts

To download the MTH603 midterm past paper click here.