Computational Methods
JKPSC Assistant Professor (Physics) · Physics · 49 practice questions with answers and explanations: 2 Easy, 45 Medium, 2 Hard.
Sample questions
Sample Easy question 1
Which numerical method finds a root by repeatedly halving an interval?
- Euler's method
- Newton–Raphson
- Bisection
- Simpson's rule
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Answer: C. It keeps the half in which the sign of the function changes.
Sample Easy question 2
The Python data type for a number such as 3.14 is:
- int
- float
- str
- bool
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Answer: B. An int holds whole numbers.
Sample Medium question 3
The Verlet algorithm integrates:
- Newton's equations in molecular dynamics
- Heat equation
- Laplace equation
- Schrödinger equation
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Answer: A. It conserves energy well.
Sample Medium question 4
The Jacobi iteration method for linear systems converges when the matrix is:
- Strictly diagonally dominant
- Triangular
- Singular
- Zero
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Answer: A. The Gauss–Seidel method converges faster.
Sample Medium question 5
An ordinary differential equation of second order can be solved numerically by converting it into:
- Two first-order equations
- One third-order equation
- An algebraic equation
- An integral only
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Answer: A. The RK method can then be used.
Sample Hard question 6
Solving n linear equations by Gaussian elimination takes about how many operations?
- O(n)
- O(log n)
- O(n²)
- O(n³)
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Answer: D. The elimination step dominates.
Sample Hard question 7
The trapezoidal rule with step h = 0.5 gives, for ∫₀¹ x dx, the value:
- 0.5
- 1
- 0.75
- 0.25
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Answer: A. The rule is exact for straight lines.
More Physics topics for JKPSC Assistant Professor (Physics)
- Atomic and Molecular Physics
- Classical Mechanics
- Condensed Matter Physics
- Electromagnetic Theory
- Electronics
- Mathematical Methods
- Nuclear and Particle Physics
- Quantum Mechanics
- Thermodynamic and Statistical Physics