mth603 final term solved papers by moaaz
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Which of the following is the Cote’s number (weighting coefficient) for the function: f(x) = x+1 in the interval [0,1]?
Select correct option:
3/2
-3/2
1/2
-1/2 -
Simpson’s 3/8 rule represents the area between the curve y = f(x) in the interval say [a,b] above x-axis by approximating the given curve by the ----------.
Select correct option:
Cubic curve through one point
Cubic curve through two points
Cubic curve through three points
Cubic curve through four points -
Zero-th order divided difference is defined as
Select correct option:
y[x0]=x0
y[x0]=y1
y[x0]=y0
None of the given choices -
Which of the following is the Global Error for Simpson’s 3/8 Rule while integrating ‘f(x) = Cosx’ in the interval of [0,pi] of equally spaced subinterval of width ‘h =pi/6’and intermediate point x = pi/2?
Select correct option:
-pi/80
pi/800
0
1 -
If f(x) = 2x, then which of the following is will be derivative of f(x) at x = 0.2?
Select correct option:
0.2
0.4
2
-2 -
If f(x) = 2x, then which of the following is will be derivative of f(x) at x = 0.2?
Select correct option:
0.2
0.4
2
-2 -
If f(x) = 2x, then which of the following is will be derivative of f(x) at x = 0.2?
Select correct option:
0.2
0.4
2
-2 -
The determinant of a diagonal matrix is the product of the diagonal elements.
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@zaasmi said in mth603 final term solved papers by moaaz:
The determinant of a diagonal matrix is the product of the diagonal elements.
True
In a diagonal matrix, all non-diagonal elements are zero, and the determinant is calculated by multiplying the diagonal elements. -
Power method is applicable if the eigen vectors corresponding to eigen values are linearly independent.
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Power method is applicable if the eigen vectors corresponding to eigen values are linearly independent.
@zaasmi said in mth603 final term solved papers by moaaz:
Power method is applicable if the eigen vectors corresponding to eigen values are linearly independent.
True
The power method is used to find the dominant eigenvalue of a matrix and requires linearly independent eigenvectors for convergence. -
A 3 x 3 identity matrix have three and different eigen values.
-
@zaasmi said in mth603 final term solved papers by moaaz:
A 3 x 3 identity matrix have three and different eigen values.
True
An identity matrix has diagonal elements as 1 and all other elements as 0, resulting in three distinct eigenvalues. -
@zaasmi said in mth603 final term solved papers by moaaz:
A 3 x 3 identity matrix have three and different eigen values.
True
An identity matrix has diagonal elements as 1 and all other elements as 0, resulting in three distinct eigenvalues. -
If n x n matrices A and B are similar, then they have the different eigenvalues (with the same multiplicities).
-
If n x n matrices A and B are similar, then they have the different eigenvalues (with the same multiplicities).
@zaasmi said in mth603 final term solved papers by moaaz:
If n x n matrices A and B are similar, then they have the different eigenvalues (with the same multiplicities).
Flase
Similar matrices have the same eigenvalues with the same multiplicities.