Develop a program that implements the POLYNOMIAL ADT using the LIST ADT. The POLYNOMIAL ADT is used to represent polynomials and the following operations defined on polynomials: 1. Evaluate( p(x), z). Evaluates the polynomial p(x) at the point x = z and returns the result. 2. Add(P₁(x), P₂(x)). Returns the polynomial that results when p, (x) is added to P₂ (x), 3. Subtract(p, (x), p₂ (x)). Returns the polynomial that results when p₁ (x) is subtracted from p₂(x). 4. Multiply(p, (x), p₂(x)). Returns the polynomial that results when p₁ (x) is multiplied by p₂(x). 5. Differentiate( p(x)). Returns the polynomial that results when p(x) is differentiated. Use your POLYNOMIAL ADT implementation to find a real root of a given polynomial using the Newton-Raphson method. For a given function f(x), the Newton- Raphson iteration function is defined as follows: f(x₂-₁) k=1,2,... Start with the initial approximation xo = 3. (1) If f(x), f(x), and f(x) are continuous near the root r, and f (r) #0, then if the initial approximation Xo is chosen close enough to r, the sequence (x,} defined in (1) will converge to r. Test your Newton-Raphson program on the polynomial p(x)=x² - 6x +8x³+8x² + 4x-4

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
icon
Related questions
Question
C programming
Develop a program that implements the POLYNOMIAL ADT using the LIST ADT.
The POLYNOMIAL ADT is used to represent polynomials and the following operations
defined on polynomials:
1. Evaluate( p(x), z). Evaluates the polynomial p(x) at the point x = z and returns
the result.
2.
Add(P₁(x), P₂(x)). Returns the polynomial that results when p, (x) is added
to P₂ (x).
3. Subtract(p, (x), p₂ (x)). Returns the polynomial that results when p₁ (x) is
subtracted from p₂ (x).
4. Multiply(p, (x), p₂(x)). Returns the polynomial that results when p, (x) is
multiplied by p₂(x).
5. Differentiate( p(x)). Returns the polynomial that results when p(x) is
differentiated.
Use your POLYNOMIAL ADT implementation to find a real root of a given
polynomial using the Newton-Raphson method. For a given function f(x), the Newton-
Raphson iteration function is defined as follows:
f(x₂-₁)
f'(xx-₁)'
k = 1,2,...
Start with the initial approximation x, = 3.
(1)
If f(x), f'(x), and f(x) are continuous near the root r, and f'(r) #0, then if the
initial approximation to is chosen close enough to r, the sequence {x} defined in (1)
will converge to r.
Test your Newton-Raphson program on the polynomial
p(x)=x² - 6x +8x³+8x² + 4x-4
Transcribed Image Text:Develop a program that implements the POLYNOMIAL ADT using the LIST ADT. The POLYNOMIAL ADT is used to represent polynomials and the following operations defined on polynomials: 1. Evaluate( p(x), z). Evaluates the polynomial p(x) at the point x = z and returns the result. 2. Add(P₁(x), P₂(x)). Returns the polynomial that results when p, (x) is added to P₂ (x). 3. Subtract(p, (x), p₂ (x)). Returns the polynomial that results when p₁ (x) is subtracted from p₂ (x). 4. Multiply(p, (x), p₂(x)). Returns the polynomial that results when p, (x) is multiplied by p₂(x). 5. Differentiate( p(x)). Returns the polynomial that results when p(x) is differentiated. Use your POLYNOMIAL ADT implementation to find a real root of a given polynomial using the Newton-Raphson method. For a given function f(x), the Newton- Raphson iteration function is defined as follows: f(x₂-₁) f'(xx-₁)' k = 1,2,... Start with the initial approximation x, = 3. (1) If f(x), f'(x), and f(x) are continuous near the root r, and f'(r) #0, then if the initial approximation to is chosen close enough to r, the sequence {x} defined in (1) will converge to r. Test your Newton-Raphson program on the polynomial p(x)=x² - 6x +8x³+8x² + 4x-4
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 4 steps

Blurred answer
Knowledge Booster
Arrays
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, computer-science and related others by exploring similar questions and additional content below.
Recommended textbooks for you
Database System Concepts
Database System Concepts
Computer Science
ISBN:
9780078022159
Author:
Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:
McGraw-Hill Education
Starting Out with Python (4th Edition)
Starting Out with Python (4th Edition)
Computer Science
ISBN:
9780134444321
Author:
Tony Gaddis
Publisher:
PEARSON
Digital Fundamentals (11th Edition)
Digital Fundamentals (11th Edition)
Computer Science
ISBN:
9780132737968
Author:
Thomas L. Floyd
Publisher:
PEARSON
C How to Program (8th Edition)
C How to Program (8th Edition)
Computer Science
ISBN:
9780133976892
Author:
Paul J. Deitel, Harvey Deitel
Publisher:
PEARSON
Database Systems: Design, Implementation, & Manag…
Database Systems: Design, Implementation, & Manag…
Computer Science
ISBN:
9781337627900
Author:
Carlos Coronel, Steven Morris
Publisher:
Cengage Learning
Programmable Logic Controllers
Programmable Logic Controllers
Computer Science
ISBN:
9780073373843
Author:
Frank D. Petruzella
Publisher:
McGraw-Hill Education