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- 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
What measures the central value of the data set?
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3. Question
list out the advantages of Conjugate Gradient Method
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Grading can be reviewed and adjusted.Grading can be reviewed and adjusted. - Question 4 of 27
4. Question
Distributions with kurtosis less than 3
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5. Question
Moments are quantitative measures related to the shape of the function’s graph
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6. Question
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Grading can be reviewed and adjusted.Grading can be reviewed and adjusted. - 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. - 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
If the values in one variable do not predict the values in another variable, the covariance is
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10. Question
The successive search directions in the steepest-descent methods may relate to each other.
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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.
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One word answers
- Question 12 of 27
12. Question
Correlation commonly refers to the degree to which a pair of variables are
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13. Question
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Grading can be reviewed and adjusted.Grading can be reviewed and adjusted. - Question 14 of 27
14. Question
Spearman’s rank correlation coefficient has been developed to be more sensitive to _________
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15. Question
Differential Equation’ means ________________________________.
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three word answer
- Question 16 of 27
16. Question
perform the inverting variable program in kotlin S2
Similar expected output:
variable must be inverted
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Grading can be reviewed and adjusted.Grading can be reviewed and adjusted. - Question 17 of 27
17. Question
What is also called as General Gamma Distribution.
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18. Question
Which distributions represent the probability of first achievement after a series of failures.
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19. Question
Find the eigen pairs of matrix A=
in kotlin S2.Similar expected output:
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Grading can be reviewed and adjusted.Grading can be reviewed and adjusted. - Question 20 of 27
20. Question
Create a symmetric matrix and perform eigen decomposition and verify it by using kotlin S2
Similar expected output:
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Grading can be reviewed and adjusted.Grading can be reviewed and adjusted. - Question 21 of 27
21. Question
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Grading can be reviewed and adjusted.Grading can be reviewed and adjusted. - Question 22 of 27
22. Question
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Grading can be reviewed and adjusted.Grading can be reviewed and adjusted. - Question 23 of 27
23. Question
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24. Question
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Grading can be reviewed and adjusted.Grading can be reviewed and adjusted. - Question 25 of 27
25. Question
implement all(Gaussian, error, beta relative, beta, gamma, polynomial) derivative function in kotlin S2Similar expected output:
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Grading can be reviewed and adjusted.Grading can be reviewed and adjusted. - Question 26 of 27
26. Question
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Grading can be reviewed and adjusted.Grading can be reviewed and adjusted. - Question 27 of 27
27. Question
If there is no ties in the ranking, the ranking is called a
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in 
