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paper 120020220313

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  2. paper 120020220313
NM HS DSC Sample Papers 2022 University Level paper 120020220313
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  1. Question 1 of 27
    1. Question

     Since when conjugate methods have been used to solve more general optimization problems.

     

     

     

     

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  2. Question 2 of 27
    2. Question

    What measures the central value of the data set?

     

     

     

     

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  3. Question 3 of 27
    3. Question

    list out the advantages of Conjugate Gradient Method

    • This response will be reviewed and graded after submission.

    Grading can be reviewed and adjusted.
    Grading can be reviewed and adjusted.
  4. Question 4 of 27
    4. Question

    Distributions with kurtosis less than 3

     

     

     

     

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  5. Question 5 of 27
    5. Question

    Moments are quantitative measures related to the shape of the function’s graph

     

     

     

     

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  6. Question 6 of 27
    6. Question

    Represent any polynomial class kotlin S2 

    Expected Similar Output:

     

    • This response will be reviewed and graded after submission.

    Grading can be reviewed and adjusted.
    Grading can be reviewed and adjusted.
  7. Question 7 of 27
    7. Question

    How does the Zangwill method eliminate the disadvantage of the powell’s algorithm?

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    Grading can be reviewed and adjusted.
    Grading can be reviewed and adjusted.
  8. Question 8 of 27
    8. Question

    7 If larger values of one variable correspond to larger values of another variable, and the same holds for smaller values the covariance is

     

     

     

     

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  9. Question 9 of 27
    9. Question

    If the values in one variable do not predict the values in another variable, the covariance is 

     

     

     

     

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    Incorrect
  10. Question 10 of 27
    10. Question

    The successive search directions in the steepest-descent methods may relate to each other.

     

     

    Correct
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  11. Question 11 of 27
    11. Question

    This method converges faster than the linear one when the approximations are __________ the actual root, but is slow to converge when they are ______ from the root.

    Correct
    Incorrect
    Hint

    One word answers

  12. Question 12 of 27
    12. Question

    Correlation commonly refers to the degree to which a pair of variables are

     

     

     

     

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    Incorrect
  13. Question 13 of 27
    13. Question

    Implement Newton Raphson Method in kotlin S2

    Similar expected output:

     

    • This response will be reviewed and graded after submission.

    Grading can be reviewed and adjusted.
    Grading can be reviewed and adjusted.
  14. Question 14 of 27
    14. Question

    Spearman’s rank correlation coefficient has been developed to be more sensitive to _________

     

     

     

     

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    Incorrect
  15. Question 15 of 27
    15. Question

    Differential Equation’ means ________________________________.

    Correct
    Incorrect
    Hint

    three word answer

  16. Question 16 of 27
    16. Question

    perform the inverting variable program in kotlin S2

    Similar expected output:

    variable must be inverted

    • This response will be reviewed and graded after submission.

    Grading can be reviewed and adjusted.
    Grading can be reviewed and adjusted.
  17. Question 17 of 27
    17. Question

    What  is also called as General Gamma Distribution. 

     

     

     

     

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  18. Question 18 of 27
    18. Question

    Which distributions represent the probability of first achievement after a series of failures.

     

     

     

     

     

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  19. Question 19 of 27
    19. Question

    Find the eigen pairs of matrix A= in kotlin S2.

    Similar expected output:   

    • This response will be reviewed and graded after submission.

    Grading can be reviewed and adjusted.
    Grading can be reviewed and adjusted.
  20. Question 20 of 27
    20. Question

    Create a symmetric matrix and perform eigen decomposition and verify it by using kotlin S2

    Similar expected output:

    • This response will be reviewed and graded after submission.

    Grading can be reviewed and adjusted.
    Grading can be reviewed and adjusted.
  21. Question 21 of 27
    21. Question

    Perform Linear interpolation in kotlin S2

    Similar expected output:

     

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    Grading can be reviewed and adjusted.
    Grading can be reviewed and adjusted.
  22. Question 22 of 27
    22. Question

    Show Hessenberg Decomposition implementation in kotlin S2

    Similar expected output:

    • This response will be reviewed and graded after submission.

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    Grading can be reviewed and adjusted.
  23. Question 23 of 27
    23. Question

    Implement exponential for half real line in kotlin S2

    Similar expected output:

    • This response will be reviewed and graded after submission.

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    Grading can be reviewed and adjusted.
  24. Question 24 of 27
    24. Question

    Implement newton’s law of cooling problem in kotlin S2

    Similar expected output:

    • This response will be reviewed and graded after submission.

    Grading can be reviewed and adjusted.
    Grading can be reviewed and adjusted.
  25. Question 25 of 27
    25. Question

    implement all(Gaussian, error, beta relative, beta, gamma, polynomial) derivative function in kotlin S2

    Similar expected output:

     

     

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    Grading can be reviewed and adjusted.
    Grading can be reviewed and adjusted.
  26. Question 26 of 27
    26. Question

    Display a simple matrix as Positive Semi-definite Matrix(2) in kotlin S2

    Similar expected output:

    • This response will be reviewed and graded after submission.

    Grading can be reviewed and adjusted.
    Grading can be reviewed and adjusted.
  27. Question 27 of 27
    27. Question

    If there is no ties in the ranking, the ranking is called a

     

     

     

     

    Correct
    Incorrect

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