Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE) PDF Download

Q1: Let, f(x, y, z) = 4x2 + 7xy + 3xz2. The direction in which the function f(x, y, z) increases most rapidly at point P = (1, 0, 2) is      (2022)
(a) Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)

(b) Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
(c) Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
(d) Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
Ans: (b)
Sol: Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)The directional derivative at point P is given by
Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)at point (1, 0, 2)
Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
Q2: Let Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE) The value of Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE) equals _________. (Give the answer up to three decimal places)      (SET-2 (2017))
(a) 3.732
(b) 4.734
(c) 5.734
(d) 6.732
Ans:
(c)
Sol: Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
Q3: Let x and y be integers satisfying the following equations
2x2 + y= 34
x + 2y = 11
The value of (x + y) is ________.        (SET-2 (2017))
(a) 4
(b) 3
(c) 7
(d) 10
Ans: 
(c)
Sol: Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
Q4: Only one of the real roots of f(x) = x− x − 1 lies in the interval 1 ≤ x ≤ 2 and bisection method is used to find its value. For achieving an accuracy of 0.001, the required minimum number of iterations is  _____.       (SET-1 (2017))
(a) 1000
(b) 100
(c) 10
(d) 1
Ans: (c)
Sol: Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)The minimum number of iterations by Bisection method is given by
Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
Q5: A differential equation (di/dt) - 0.2i = 0 is applicable over 10<𝑡<10−10 < t < 10. If i(4) = 10, then i(-5) is _____.       (SET-2 (2015))
(a) 1
(b) 0.5
(c) 1.6
(d) 2.4
Ans:
(c)
Sol: Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
Q6: Two coins R and S are tossed. The 4 joint events HRHS, TRTS, hRHS, TRHS have probabilities 0.28, 0.18, 0.30, 0.24, respectively, where H represents head and T represents tail. Which one of the following is TRUE?       (SET-2  (2015))
(a) The coin tosses are independent.
(b) R is fair, S is not.
(c) S is fair, R is not
(d) The coin tosses are dependent
Ans:
(d)
Sol: From the given information, we can create a joint probability table as follows:
Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)From the table, we can get
P(HR) = 0.58, P(TR) = 0.42, P(HS) = 0.52, P(TS) = 0.48
So, Coins R and S are biased (not fair). So choises (B) and (C) are both false.
The coin tosses are not independent since their probability of heads and tails is not 0.5.
R and S are dependent.
If R and S were independent then all the joint probabilities will be equal to the product of the marginal probabilities.
For example 
Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)So R and S are not independent.
i.e. R and S are dependent. So, Choise (A) is also false and choise (D) is true.

Q7: The function f(x) = e− 1 is to be solved using Newton-Raphson method. If the initial value of x0 is taken as 1.0, then the absolute error observed at 2nd iteration is _____.       (SET-3 (2014))
(a) 0.01
(b) 0.03
(c) 0.06
(d) 0.09
Ans:
(c)
Sol: Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)In Newton-Raphson method, we have
Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)Putting the values, we get:
Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)Putting the value, we get:
Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
Q8: When the Newton-Raphson method is applied to solve the equation f(x) = x+ 2x − 1 = 0, the solution at the end of the first iteration with the initial value as x0 = 1.2 is      (2013)
(a) -0.82
(b) 0.49
(c) 0.705
(d) 1.69
Ans:
(c)
Sol: Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
Q9: Solution of the variables x1 and x2 for the following equations is to be obtained by employing the Newton-Raphson iterative method.
equation (1) 10x2sinx− 0.8 = 0
equation (2) Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE) − 10x2cosx− 0.6 = 0
Assuming the initial values ar x= 0.0 and x= 1.0, the jacobian matrix is       (2011)
(a) Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)

(b) Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
(c) Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
(d) Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
Ans: (b)
Sol: Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)The Jacobian matrix is
Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
Q10: Let x− 117 = 0. The iterative steps for the solution using Newton-Raphon's method is given by      (2009)
(a) Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)

(b) Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
(c) Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
(d) Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
Ans: (a)
Sol: Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
Q11: Equation e− 1 = 0 is required to be solved using Newton's method with an initial guess x0 = −1. Then, after one step of Newton's method, estimate x1 of the solution will be given by      (2008)
(a) 0.71828
(b) 0.36784
(c) 0.20587
(d) 0
Ans:
(a)
Sol: Here,
Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)The newton raphson iterative equation is
Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)
Q12: The differential equation Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE) is discretised using Euler's numerical integration method with a time step Δ𝑇>0ΔT > 0. What is the maximum permissible value of ΔT to ensure stability of the solution of the corresponding discrete time equation ?       (2007)
(a)
1
(b) τ/2
(c) τ
(d) 2τ

Ans: (d) 

The document Previous Year Questions- Numerical Methods | Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE) is a part of the Electrical Engineering (EE) Course Engineering Mathematics for Electrical Engineering.
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FAQs on Previous Year Questions- Numerical Methods - Engineering Mathematics for Electrical Engineering - Electrical Engineering (EE)

1. What are the different methods used in numerical analysis for solving electrical engineering problems?
Ans. Numerical methods commonly used in electrical engineering include Newton-Raphson method, Gauss-Seidel method, Euler's method, Runge-Kutta method, and Finite Element Method.
2. How is the Newton-Raphson method applied in solving electrical engineering problems?
Ans. The Newton-Raphson method is used to iteratively find the roots of a function by using an initial guess. In electrical engineering, it can be applied to solve nonlinear equations, such as in power flow analysis in electrical networks.
3. What is the significance of Gauss-Seidel method in numerical analysis for electrical engineering applications?
Ans. The Gauss-Seidel method is an iterative technique used to solve a system of linear equations. In electrical engineering, it is commonly used for solving power flow equations in electrical networks.
4. How is the Euler's method used in numerical analysis for electrical engineering simulations?
Ans. Euler's method is a simple numerical technique for solving ordinary differential equations. In electrical engineering, it can be used to simulate transient responses in circuits or systems.
5. How does the Finite Element Method contribute to numerical analysis in electrical engineering?
Ans. The Finite Element Method is a powerful numerical technique used to analyze complex structures and systems. In electrical engineering, it can be applied to model electromagnetic fields, optimize device designs, and analyze power system components.
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