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Definition, Components, and Solved Examples


Newton Raphson Technique or Newton Technique is a robust approach for fixing equations numerically. It’s mostly used for approximation of the roots of the real-valued capabilities. Newton Rapson Technique was developed by Isaac Newton and Joseph Raphson, therefore the identify Newton Rapson Technique. 

Newton Raphson Technique entails iteratively refining an preliminary guess to converge it towards the specified root. Nonetheless, the strategy isn’t environment friendly to calculate the roots of the polynomials or equations with greater levels however within the case of small-degree equations, this technique yields very fast outcomes. On this article, we’ll find out about Newton Raphson Technique and the steps to calculate the roots utilizing this technique as effectively.

What’s Newton Raphson Technique?

The Newton-Raphson technique which is also referred to as Newton’s technique, is an iterative numerical technique used to search out the roots of a real-valued perform. This method is called after Sir Isaac Newton and Joseph Raphson, as they independently contributed to its improvement. Newton Raphson Technique or Newton’s Technique is an algorithm to approximate the roots of zeros of the real-valued capabilities, utilizing guess for the primary iteration (x0) after which approximating the subsequent iteration(x1) which is near roots, utilizing the next method.

x1 = x0 – f(x0)/f'(x0)

the place,

  • x0 is the preliminary worth of x,
  • f(x0) is the worth of the equation at preliminary worth, and
  • f'(x0) is the worth of the primary order spinoff of the equation or perform on the preliminary worth x0.

Notice: f'(x0) shouldn’t be zero else the fraction a part of the method will change to infinity which suggests f(x) shouldn’t be a continuing perform.

Newton Raphson Technique Components

Within the basic type, the Newton-Raphson technique method is written as follows:

xn = xn-1 – f(xn-1)/f'(xn-1)

The place, 

  • xn-1 is the estimated (n-1)th root of the perform,
  • f(xn-1) is the worth of the equation at (n-1)th estimated root, and
  • f'(xn-1) is the worth of the primary order spinoff of the equation or perform at xn-1.

Newton Raphson Technique Calculation

Assume the equation or capabilities whose roots are to be calculated as f(x) = 0.

With a purpose to show the validity of Newton Raphson technique following steps are adopted:

Step 1: Draw a graph of f(x) for various values of x as proven under:

Newton Raphson Method Calculation

Step 2: A tangent is drawn to f(x) at x0. That is the preliminary worth.

Step 3:This tangent will intersect the X- axis at some mounted level (x1,0) if the primary spinoff of f(x) isn’t zero i.e. f'(x0) ≠ 0.

Step 4: As this technique assumes iteration of roots, this x1 is taken into account to be the subsequent approximation of the foundation.

Step 5: Now steps 2 to 4 are repeated till we attain the precise root x*.

Now we all know that the slope-intercept equation of any line is represented as y = mx + c,

The place m is the slope of the road and c is the x-intercept of the road. 

Utilizing the identical method we, get

y = f(x0) + f'(x0) (x − x0)

Right here f(x0) represents the c and f'(x0) represents the slope of the tangent m. As this equation holds true for each worth of x, it should maintain true for x1. Thus, substituting x with x1, and equating the equation to zero as we have to calculate the roots, we get:

0 = f(x0) + f'(x0) (x1 − x0)

x1 = x0 – f(x0)/f'(x0)

Which is the Newton Raphson technique method.

Thus, Newton Raphson’s technique was mathematically proved and accepted to be legitimate.

Convergence of Newton Raphson Technique

The Newton-Raphson technique tends to converge if the next situation holds true:

|f(x).f”(x)| < |f'(x)|2

It implies that the strategy converges when the modulus of the product of the worth of the perform at x and the second spinoff of a perform at x is lesser than the sq. of the modulo of the primary spinoff of the perform at x. The Newton-Raphson Technique has a convergence of order 2 which suggests it has a quadratic convergence.

Notice:

Newton Raphson’s technique isn’t legitimate if the primary spinoff of the perform is 0 which suggests f'(x) = 0. It’s only attainable when the given perform is a continuing perform.

Newton Raphson Technique Instance

Let’s take into account the next instance to study extra concerning the strategy of discovering the foundation of a real-valued perform.

Instance: For the preliminary worth x0 = 3, approximate the foundation of f(x)=x3+3x+1.

Resolution:

Given, x0 = 3 and f(x) = x3+3x+1

f'(x) = 3x2+3

f'(x0) = 3(9) + 3 = 30

f(x0) = f(3) = 27 + 3(3) + 1 = 37

Utilizing Newton Raphson technique:

x1 = x0 – f(x0)/f'(x0)

= 3 – 37/30

= 1.767

Solved Issues of Newton Raphson Technique

Drawback 1: For the preliminary worth x= 1, approximate the foundation of f(x)=x2−5x+1.

Resolution:

Given, x= 1 and f(x) = x2-5x+1

f'(x) = 2x-5

f'(x0) = 2 – 5 = -3

f(x0) = f(1) = 1 – 5 + 1 = -3

Utilizing Newton Raphson technique:

x1 = x0 – f(x0)/f'(x0)

⇒ x1 = 1 – (-3)/-3

⇒ x1 = 1 -1

⇒ x1 = 0

Drawback 2: For the preliminary worth x= 2, approximate the foundation of f(x)=x3−6x+1.

Resolution:

Given, x= 2 and f(x) = x3-6x+1

f'(x) = 3x2 – 6

f'(x0) = 3(4) – 6 = 6

f(x0) = f(2) = 8 – 12 + 1 = -3

Utilizing Newton Raphson technique:

x1 = x0 – f(x0)/f'(x0)

⇒ x1 = 2 – (-3)/6

⇒ x1 = 2 + 1/2

⇒ x1 = 5/2 = 2.5

Drawback 3: For the preliminary worth x= 3, approximate the foundation of f(x)=x2−3.

Resolution:

Given, x= 3 and f(x) = x2-3

f'(x) = 2x

f'(x0) = 6

f(x0) = f(3) = 9 – 3 = 6

Utilizing Newton Raphson technique:

x1 = x0 – f(x0)/f'(x0)

⇒ x1 = 3 – 6/6

⇒ x1 = 2

Drawback 4: Discover the foundation of the equation f(x) = x3 – 3 = 0, if the preliminary worth is 2.

Resolution:

Given x0 = 2 and f(x) = x3 – 3

f'(x) = 3x2

f'(x0 = 2) = 3 × 4 = 12

f(x0) = 8 – 3 = 5

Utilizing Newton Raphson technique:

x1 = x0 – f(x0)/f'(x0)

⇒ x1 = 2 – 5/12

⇒ x1 = 1.583

Utilizing Newton Raphson technique once more:

x2 = 1.4544

x3 = 1.4424

x4 = 1.4422

Due to this fact, the foundation of the equation is roughly x = 1.442.

Drawback 5: Discover the foundation of the equation f(x) = x3 – 5x + 3 = 0, if the preliminary worth is 3.

Resolution:

Given x0 = 3 and f(x) = x3 – 5x + 3 = 0

f'(x) = 3x2 – 5

f'(x0 = 3) = 3 × 9 – 5 = 22

f(x0 = 3) = 27 – 15 + 3 = 15

Utilizing Newton Raphson technique:

x1 = x0 – f(x0)/f'(x0)

⇒ x1 = 3 – 15/22

⇒ x1 = 2.3181

Utilizing Newton Raphson technique once more:

x2 = 1.9705

x3 = 1.8504

x4 = 1.8345

x5 = 1.8342

Due to this fact, the foundation of the equation is roughly x = 1.834.

FAQs of Newton Raphson Technique

Q1: Outline Newton Raphson Technique.

Reply:

Newton Raphson Technique is a numerical technique to approximate the roots of any given real-valued perform. On this technique, we used numerous iterations to approximate the roots, and the upper the variety of iterations the much less error within the worth of the calculated root.

Q2: What’s the Benefit of Newton Raphson Technique?

Reply:

Newton Raphson technique has a bonus that it permits us to guess the roots of an equation with a small diploma very effectively and rapidly.

Q3: What’s the Drawback of Newton Raphson Technique?

Reply:

The drawback of Newton Raphson technique is that it tends to change into very complicated when the diploma of the polynomial turns into very massive.

This fall: State any real-life utility of Newton Raphson’s Technique.

Reply:

Newton Raphson technique is used to analyse the circulate of water in water distribution networks in actual life.

Q5: Which idea is the Newton-Raphson Technique based mostly upon?

Reply:

Newton Raphson technique relies upon the idea of calculus and tangent to a curve.

Final Up to date :
04 Jul, 2023

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