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Solved Numericals

Q1. If a and (a + h) are two consecutive approximate roots of the equation f(x) = 0 obtained by Newton's method, then h is equal to.
Solution: 
Given, a and (a + h) are two consecutive approximate roots of the equation f(x) = 0 

Let xn = a and xn+1 = a + h
∴ Using Newton's method, Numerical solutions of linear and nonlinear algebraic equations | Engineering Mathematics for Mechanical Engineering
Numerical solutions of linear and nonlinear algebraic equations | Engineering Mathematics for Mechanical Engineering
∴ The value of h is Numerical solutions of linear and nonlinear algebraic equations | Engineering Mathematics for Mechanical Engineering.


Q2. While solving the equation x– 3x + 1 = 0 using Newton – Raphson method the initial guess of the root is as 1, then the value of the root will be?
Solution: 
Given, f(x) = x2 – 3x + 1 and x0 = 1

Numerical solutions of linear and nonlinear algebraic equations | Engineering Mathematics for Mechanical Engineering

∴ The value of root will be x = 0.


Q3. The iterative formula to find the root of the equation f(x) = x3 - 5x + 7 = 0 by the Newton Raphson method is ______. 
Solution: 
Given,
Numerical solutions of linear and nonlinear algebraic equations | Engineering Mathematics for Mechanical Engineering


Q4. If f(0) = 3, f(1) = 5, f(3) = 21, then the unique polynomial of degree 2 or less using Newton divided difference interpolation will be:
Solution: 
Given,
f(0) = 3, f(1) = 5, f(3) = 21;

⇒ (0,3), (1,5), (3,21) are the data points;

The polynomial will be f(x) = b0 + b1(x) + b2 (x)(x – 1);

⇒ b0 = f(0) = 3;

Numerical solutions of linear and nonlinear algebraic equations | Engineering Mathematics for Mechanical Engineering
Substituting the constant b0, b1, b2 in the quadratic interpolant,
⇒ f(x) = 3 + 2x + 2 (x)(x – 1) = 3 + 2x + 2x2 – 2x = 3 + 2x2;
The unique polynomial of degree 2 will be f(x) = 3 + 2x2.


Q5. The 2nd approximation to a root of the equation x2 - x - 1 = 0 in the interval (1, 2) by Bisection method will be: 
Solution:
Given:
f(x) = x2 - x - 1 = 0  , a = 1 , b = 2
f(1) = 1 - 1 -1 = -1 < 0 , f(2) = 2- 2 - 1 = 1 > 0 , Hence root lies between 1 and 2

By Bi-section method, Numerical solutions of linear and nonlinear algebraic equations | Engineering Mathematics for Mechanical Engineering

Numerical solutions of linear and nonlinear algebraic equations | Engineering Mathematics for Mechanical Engineering

Which is positive. Hence, the root lies between 1.5 and 2

By Bi-section method, Numerical solutions of linear and nonlinear algebraic equations | Engineering Mathematics for Mechanical Engineering

The 2nd approximation to a root of the equation x2 - x - 1 = 0 in the interval (1, 2) by Bisection method is 1.75


Q6. The approximate value of a root of x3 – 13 = 0, then 3.5 as initial value, after one iteration using Newton-Raphson method, is
Solution: 
Given:
f(x) = x- 13, x0 = 3.5
f'(x) = 3x2
f(x0) = f(3.5) = 3.53 - 13 = 29.875
f'(x0) = f'(3.5) = 3 × 3.52 = 36.75
We know that
Numerical solutions of linear and nonlinear algebraic equations | Engineering Mathematics for Mechanical Engineering
∴ x1 = 2.6871


Q7. The iterative formula to find the root of the equation f(x) = x3 - 5x + 7 = 0 by the Newton Raphson method is ______.
Solution:
Given,
Numerical solutions of linear and nonlinear algebraic equations | Engineering Mathematics for Mechanical Engineering
= Numerical solutions of linear and nonlinear algebraic equations | Engineering Mathematics for Mechanical Engineering
Numerical solutions of linear and nonlinear algebraic equations | Engineering Mathematics for Mechanical Engineering


Q8. Find the positive real root of x3 - x - 3 = 0 using Newton-Raphson method. If the starting guess (x0) is 2, the numerical value of the root after two iterations (x2) is __________ (round off to two decimal places).
Ans: 
1.66 - 1.68
Solution:
f(x) = x3 - x - 3
Numerical solutions of linear and nonlinear algebraic equations | Engineering Mathematics for Mechanical Engineering
Starting guess (x0 = 2)
Now first iterations
Numerical solutions of linear and nonlinear algebraic equations | Engineering Mathematics for Mechanical Engineering
Second iterations
Numerical solutions of linear and nonlinear algebraic equations | Engineering Mathematics for Mechanical Engineering
x1 = 1.7273
Numerical solutions of linear and nonlinear algebraic equations | Engineering Mathematics for Mechanical Engineering
x2 = 1.67 


Q9. The function f(x) = ex – 1 is to be solved using Newton-Raphson method. If the initial value of x0 is taken as 1.0, then the absolute error Ans: 0.05 - 0.07
Solution:
f(x) = ex – 1
f’(x) = ex
x0 = 1
Iteration 1:
At x0 = 1, f(x) = 1.718
f'(x) = 2.718
Numerical solutions of linear and nonlinear algebraic equations | Engineering Mathematics for Mechanical Engineering
Iteration 2:
At x2 = 0.3678, f(x) = 0.4445
f'(x) = 1.4445
Numerical solutions of linear and nonlinear algebraic equations | Engineering Mathematics for Mechanical Engineering
By inspection, the actual solution for the given equation is, x = 0
Therefore, the error = 0.06005.


Q10. The iteration formula to find the reciprocal of a given number N by Newton’s method is
Solution:
Given, X = 1/N
Let, Numerical solutions of linear and nonlinear algebraic equations | Engineering Mathematics for Mechanical Engineering

Numerical solutions of linear and nonlinear algebraic equations | Engineering Mathematics for Mechanical Engineering


Q11. If the equation sin (x) = x2 is solved by Newton Raphson’s method with the initial guess of x = 1, then the value of x after 2 iterations would be 
Ans:
0.86 - 0.89
Solution: Given:
Initial guess (x0) = 1; sin(x) = x2 ⇒ f(x) = x2 - sin(x);
f'(x) = 2x - cos(x)
First iteration (n = 0)
Numerical solutions of linear and nonlinear algebraic equations | Engineering Mathematics for Mechanical Engineering
x1 = 0.891
Second Iteration (n = 1)
Numerical solutions of linear and nonlinear algebraic equations | Engineering Mathematics for Mechanical Engineering

x= 0.87

The document Numerical solutions of linear and nonlinear algebraic equations | Engineering Mathematics for Mechanical Engineering is a part of the Mechanical Engineering Course Engineering Mathematics for Mechanical Engineering.
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FAQs on Numerical solutions of linear and nonlinear algebraic equations - Engineering Mathematics for Mechanical Engineering

1. What are numerical solutions of linear algebraic equations?
Ans. Numerical solutions of linear algebraic equations involve using computational methods to find approximate solutions to systems of equations with linear relationships between variables.
2. How are nonlinear algebraic equations solved using numerical methods?
Ans. Nonlinear algebraic equations can be solved using numerical methods such as Newton's method, the secant method, or the bisection method to iteratively approximate the roots of the equations.
3. What is the importance of solving algebraic equations in Mechanical Engineering?
Ans. Solving algebraic equations is crucial in Mechanical Engineering for analyzing and designing complex systems, optimizing performance, and predicting behavior of mechanical components under different conditions.
4. What are some common challenges faced when solving algebraic equations numerically?
Ans. Some common challenges include convergence issues with iterative methods, round-off errors in calculations, and difficulties in solving highly nonlinear equations with multiple variables.
5. Can numerical solutions of algebraic equations be used in real-world engineering applications?
Ans. Yes, numerical solutions of algebraic equations are widely used in real-world engineering applications for simulating mechanical systems, optimizing designs, and predicting performance characteristics before physical prototypes are built.
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