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Numerical Methods — Part 2 MCQs with Explanations

Practice high-yield Mathematics & Quantitative Ability MCQs on Numerical Methods — Part 2 with worked academic solutions for CSS, NTS, PPSC, FPSC, PMS.

Questions
18
Difficulty Level
Exam-Level
Target Exams
CSS, NTS, PPSC...
Estimated Time
22 mins
Exam-Level CSS NTS PPSC FPSC PMS
Verified for Commission Syllabus • Oct 14, 2026
18

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Question 1 of 18
★ CSS ★ NTS

The differential equation $$\frac{{{\text{dy}}}}{{{\text{dx}}}} = 0.25{{\text{y}}^2}$$ is to be solved using the backward (implicit) Euler's method with the boundary condition y = 1 at x = 0 and with a step size of 1. What would be the value of y at x = 1?

Question 2 of 18
★ CSS ★ NTS

What is the value of (1525) 0.2 to 2 decimal places?

Question 3 of 18
★ CSS ★ NTS

Numerical integration using trapezoidal rule gives the best result for a single variable function, which is

Question 4 of 18
★ CSS ★ NTS

Solution of the variables x 1 and x 2 for the following equations is to be obtained by employing the Newton-Raphson iterative method equation (i) 10x 2 sin x 1 - 0.8 = 0 equation (ii) 10$${\text{x}}_2^2$$ - 10x 2 cos x 1 - 0.6 = 0 Assuming the initial values x 1 = 0.0 and x 2 = 1.0, the Jacobian matrix is

Question 5 of 18
★ CSS ★ NTS

The root of the function f(x) = x 3 + x - 1 obtained after first iteration on application of Newton Raphson scheme using an initial guess of x 0 = 1 is

Question 6 of 18
★ CSS ★ NTS

The velocity v (in m/s) of a moving mass, starting from rest, given as $$\frac{{{\text{dv}}}}{{{\text{dt}}}} = {\text{v}} + {\text{t}}{\text{.}}$$ Using Euler forward difference method (also known as Cauchy-Euler method) with a step size of 0.1 s, the velocity at 0.2 s evaluate to

Question 7 of 18
★ CSS ★ NTS

Let x 2 - 117 = 0. The iterative steps for the solution using Newton-Raphson's method is given by

Question 8 of 18
★ CSS ★ NTS

A piecewise linear function f(x) is plotted using thick solid lines in the figure below (the plot is drawn to scale). If we use the Newton-Raphson method to find the roots of f(x) = 0 using x 0 , x 1 and x 2 respectively as initial guesses, the roots obtained would be

Question 9 of 18
★ CSS ★ NTS

Function f is known at the following points x 0 0.3 0.6 0.9 1.2 1.5 1.8 2.1 2.4 2.7 3.0 f(x) 0 0.09 0.36 0.81 1.44 2.25 3.24 4.41 5.76 7.29 9.00 The value of $$\int_0^3 {{\text{f}}\left( {\text{x}} \right){\text{dx}}} $$ computed using the continuous at x = 3?

Question 10 of 18
★ CSS ★ NTS

The integral $$\int_1^3 {\frac{1}{{\text{x}}}{\text{dx,}}} $$ when evaluated by using Simpson's 1/3 rule on two equal subintervals each of length 1, equals

Question 11 of 18
★ CSS ★ NTS

In numerical integration using Simpson's rule, the approximating function in interval is a

Question 12 of 18
★ CSS ★ NTS

Using Simpson's 1/3 rule for numerical integration, the consecutive points are joined by a

Question 13 of 18
★ CSS ★ NTS

The differential equation $$\frac{{{\text{dx}}}}{{{\text{dt}}}} = \frac{{4 - {\text{x}}}}{\tau },$$ with x(0) = 0 and the constant $$\tau $$ > 0, is to be numerically integrated using the forward Euler method with a constant integration time step T. The maximum value of T such that the numerical solution of x converges is

Question 14 of 18
★ CSS ★ NTS

Match the following: List-I List-II P. 2 nd order differential equation 1. Runge-Kutta Method Q. Non-linear algebraic equation 2. Newton-Raphson Method R. Linear algebraic equation 3. Gauss Elimination S. Numerical integration 4. Simpson's rule

Question 15 of 18
★ CSS ★ NTS

Match the application to appropriate numerical method. Application Numerical Method P1: Numerical integration M1: Newton-Raphson Method P2: Solution to a transcendental equation M2: Runge-Kutta Method P3: Solution to a system of linear equations M3: Simpson's 1/3-rule P4: Solution to a differential equation M4: Gauss Elimination Method

Question 16 of 18
★ CSS ★ NTS

The estimate of $$\int\limits_{0.5}^{1.5} {\frac{{{\text{dx}}}}{{\text{x}}}} $$ obtained using Simpson's rule with three-point function evaluation exceeds the exact value by

Question 17 of 18
★ CSS ★ NTS

The integral $$\int\limits_{{{\text{x}}_1}}^{{{\text{x}}_2}} {{{\text{x}}^2}{\text{dx}}} $$ with x 2 > x 1 > 0 is evaluated analytically as well as numerically using a single application of the trapezoidal rule. If $$I$$ is the exact value of the integral obtained analytically and J is the approximate value obtained using the trapezoidal rule, which of the following statements is correct about their relationship?

Question 18 of 18
★ CSS ★ NTS

The error in $${\left. {\frac{{\text{d}}}{{{\text{dx}}}}{\text{f}}\left( {\text{x}} \right)} \right|_{{\text{x}} = {{\text{x}}_0}}}$$ for a continuous function estimated with h = 0.03 using the central difference formula $${\left. {\frac{{\text{d}}}{{{\text{dx}}}}{\text{f}}\left( {\text{x}} \right)} \right|_{{\text{x}} = {{\text{x}}_0}}} = \frac{{{\text{f}}\left( {{{\text{x}}_0} + {\text{h}}} \right) - {\text{f}}\left( {{{\text{x}}_0} - {\text{h}}} \right)}}{{2{\text{h}}}},$$ is 2 × 10 -3 . The values of x 0 and f(x 0 ) are 19.78 and 500.01, respectively. The corresponding error in the central difference estimate for h = 0.02 is approximately

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