Numerical Methods MCQs Question and Answer in Engineering Maths
Explore a curated set of multiple-choice questions (MCQs) focused on Numerical Methods within the engineering maths section. Numerical Methods MCQ Quiz Pdf and prepare for your upcoming exams Like GATE and engineering exams. Page-2 section-1
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Newton-Raphson method is used to compute a root of the equation x2 - 13 = 0 with 3.5 as the initial value. The approximation after one iteration is
Consider p(s) = s3 + a2s2 + a1s + a0 with all real coefficients. It is known that it is derivative p'(s) has no real roots. The number of real roots of p(s) is
The differential equation $$\frac{{{\text{dx}}}}{{{\text{dt}}}} = \left[ {\frac{{1 - {\text{x}}}}{\tau }} \right]$$ is discretised using Euler's numerical integration method with a time step ΔT > 0. What is the maximum permissible value of ΔT to ensure stability of the solution of the corresponding discrete time equation?
The minimum number of equal length subintervals needed to approximate $$\int\limits_1^2 {{\text{x}}{{\text{e}}^{\text{x}}}{\text{dx}}} $$ to an accuracy of at least $$\frac{1}{3} \times {10^{ - 6}}$$ using the trapezoidal rule is
Consider the series $${{\text{x}}_{{\text{n}} + 1}} = \frac{{{{\text{x}}_{\text{n}}}}}{2} + \frac{9}{{8{{\text{x}}_{\text{n}}}}},\,{{\text{x}}_0} = 0.5$$ obtained from the Newton-Raphson method. The series converges to
The value of the function f(x) is given at n distinct values of x and its value is to be interpolated at the point x⋆, using all the n points. The estimate is obtained first by the Lagrange polynomial, denoted by $${I_{\text{L}}}$$ and then by the Newton polynomial, denoted by $${I_{\text{N}}}$$. Which one of the following statements is correct?
The extremum (minimum or maximum) point of a function f(x) is to be determined by solving $$\frac{{{\text{df}}\left( {\text{x}} \right)}}{{{\text{dx}}}} = 0$$ using the Newton-Raphson method. Let f(x) = x3 - 6x and x0 = 1 be the initial guess of x. The value of x after two iterations (x2) is