This exam assesses proficiency in Numerical Methods, focusing on skills such as the Newton Raphson method, differentiation, and iterative formulas. It evaluates critical thinking and problem-solving abilities in mathematical engineering contexts.
X(n+1)=0.25 [x(n)+166x(n)]
X(n+1)=0.5 [x(n)+166x(n)]
X(n+1)=0.5 [x(n)-166x(n)]
X(n+1)=0.25 [x(n)-166x(n)]
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False position
Gauss Seidel method
Newton Raphson method
Euler method
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Floating
Continuous
Non-stationary
Stationary
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Tanθ
Secθ
Cotθ
Cosecθ
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10/3
4/3
7/3
13/3
Gauss Seidal
Gauss Jordan
Jacobi’s Method
Relaxation Method
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Y/x’
Y’/x
y/x
y’/x’
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1.67
1.87
1.86
1.85
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The value of f’(x) must be increased
The value of f’’(x) must be decreased
The value of f’(x) must be decreased
The value of f’’(x) must be increased
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