Quadratic Newton's Method

In summary, the conversation discusses deriving a more accurate iteration formula using Taylor series expansion and truncating after the quadratic term. It is mentioned that isolating xn+1 becomes more complicated with this method and the use of a quadratic equation is considered. The speaker suggests putting in the effort instead of avoiding it.
  • #1
582153236
14
0

Homework Statement


The Newton iteration formula is based on a Taylor series expansion of the function f(x) around an estimate of the root xn, truncated after the linear term. You are asked to derive a more accurate iteration scheme as follows: Start from the Taylor series expansion of f(x) around xn, and truncate it after the quadratic term; derive then a general iteration formula for xn+1, and explain how you would use it.

Homework Equations


Newton's method equation:
af2d6f780d8673d64e8cc328ae52631d.png


Taylor's series expansion with ε=x-x0[/B]
NumberedEquation1.gif


The Attempt at a Solution


If you truncate all the terms after the linear term, it becomes a matter of simple rearrangement to isolate xn+1.

However, when truncating after quadratic term, isolating xn+1 becomes considerably more messy. My question is whether it would be valid to try to isolate xn+1. I have considered using quadratic equation but given the tediousness of this approach I am hoping for a different method.
 
Physics news on Phys.org
  • #2
Sounds like you need to quit dodging the work and go to it.
 

1. What is Quadratic Newton's Method?

Quadratic Newton's Method is an iterative algorithm used to find the roots of a quadratic equation, which is an equation of the form ax2 + bx + c = 0. It is an improvement upon the basic Newton's Method and is more efficient in finding the roots of a quadratic equation.

2. How does Quadratic Newton's Method work?

Quadratic Newton's Method uses the derivative of a quadratic equation to iteratively refine an initial guess of the root. It involves plugging in the initial guess into the equation and then using the derivative to find the slope of the curve at that point. This slope is used to find a better approximation of the root, and the process is repeated until a satisfactory level of accuracy is achieved.

3. What are the advantages of using Quadratic Newton's Method?

Compared to the basic Newton's Method, Quadratic Newton's Method has several advantages. It is more efficient and converges to the root faster, especially when the initial guess is close to the actual root. It also has a higher order of convergence, meaning that the number of accurate digits doubles with each iteration.

4. Are there any limitations to Quadratic Newton's Method?

While Quadratic Newton's Method is generally more efficient than the basic Newton's Method, it may not work well for certain quadratic equations. If the initial guess is not close enough to the root or if the equation has complex roots, the method may fail to converge. Additionally, the method may produce inaccurate results if the equation has a double root.

5. How is Quadratic Newton's Method used in real-world applications?

Quadratic Newton's Method has various applications in fields such as physics, engineering, and economics. It is commonly used to find the optimal solution in optimization problems, such as finding the maximum or minimum value of a function. It is also used in numerical analysis to solve differential equations and in finance to price financial derivatives.

Similar threads

  • Calculus and Beyond Homework Help
Replies
8
Views
858
  • Calculus and Beyond Homework Help
Replies
3
Views
1K
  • Precalculus Mathematics Homework Help
Replies
3
Views
3K
  • Linear and Abstract Algebra
Replies
5
Views
2K
  • Calculus and Beyond Homework Help
Replies
2
Views
2K
  • Linear and Abstract Algebra
Replies
2
Views
823
  • Calculus and Beyond Homework Help
Replies
2
Views
1K
  • Calculus and Beyond Homework Help
Replies
5
Views
2K
Replies
2
Views
1K
  • Calculus and Beyond Homework Help
Replies
12
Views
5K
Back
Top