EBK NUMERICAL METHODS FOR ENGINEERS
EBK NUMERICAL METHODS FOR ENGINEERS
7th Edition
ISBN: 9780100254145
Author: Chapra
Publisher: YUZU
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Chapter 13, Problem 15P

Develop a program using a programming or macro language to implement Newton's method. The subroutine should have the following features:

• Iterate until the relative error falls below a stopping criterion or exceeds a maximum number of iterations.

• Returns both the optimal x and f ( x ) .

Test your program with the same problem as Example 13.3.

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We have designed a divide-and-conquer algorithm that runs on an input of size n. This algorithm works by spending O(1) time splitting the problem in half, then does a recursive call on each half, then spends O(n2 ) time combining the solutions to the recursive calls. On small inputs, the algorithm takes a constant amount of time. We want to see how long this algorithm takes, in terms of n to perform the task. (a) First, write a recurrence relation that corresponds to the time-complexity of the above divide and conquer algorithm. (b) Then, solve the relation to come with the worst-case time taken for the algorithm. Please show all work in depth.
Please!! Use only graphical method.
f(x)=-0.9x? +1.7x+2.5 Calculate the root of the function given below: a) by Newton-Raphson method b) by simple fixed-point iteration method. (f(x)=0) Use x, = 5 as the starting value for both methods. Use the approximate relative error criterion of 0.1% to stop iterations.
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