Singular Value Decomposition is some sort of generalization of _______ decomposition.
A) singular
B) eigen vector
C) eigen value
D) none of the above
Correct Answer:
Verified
Q5: Singular matrix are?
A)non-invertible
B)invertible
C)both non-invertible and invertible
D)none of
Q6: Determinant value of a singular Matrix
A)0
B)not equal
Q7: The matrix which is the sum of
Q8: _ is equal to the maximum number
Q9: Vectors whose direction remains unchanged even after
Q11: The cofactor is always preceded by a?
A)positive
Q12: What is symmetric Matrix?
A)?
B)=
C)both a and b
D)none
Q13: What is the transpose of cofactor matrix?
A)inverse
Q14: Rank of a matrix
A)highest non negative minor
B)highest
Q15: f(x) = 3x3 - 4x2 +
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