EBK NUMERICAL METHODS FOR ENGINEERS
EBK NUMERICAL METHODS FOR ENGINEERS
7th Edition
ISBN: 8220100254147
Author: Chapra
Publisher: MCG
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Chapter 5, Problem 22P

Develop a subprogram for the bisection method that minimizes function evaluations based on the pseudocode from Fig. 5.11.

Determine the number of function evaluations ( n ) per total iterations. Test the program by duplicating Example 5.6.

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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.
Problem 6.5
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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EBK NUMERICAL METHODS FOR ENGINEERS

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