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a. Write a reduce-and-conquer recursive function FastRecSum()(C++ or python) that find the sum of all float (real) elements in an array of size n. b. Using addition of float (real) values as a basic operation, set up and solve a recurrence relationship to compute the complexity of your code, as a function of the size n of the array

a. Write a reduce-and-conquer recursive function FastRecSum()(C++ or python) that find the sum of all float (real) elements in an array of size n. b. Using addition of float (real) values as a basic operation, set up and solve a recurrence relationship to compute the complexity of your code, as a function of the size n of the array

Computer Networking: A Top-Down Approach (7th Edition)
Computer Networking: A Top-Down Approach (7th Edition)
7th Edition
ISBN:9780133594140
Author:James Kurose, Keith Ross
Publisher:James Kurose, Keith Ross
Chapter1: Computer Networks And The Internet
Section: Chapter Questions
Problem R1RQ: What is the difference between a host and an end system? List several different types of end...
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The drawback of this approach, is that with each recursive function call, we only reduce the

size of the array by one element, and we use a storage space for one activation record. A

faster approach is, with each recursive call, reduce the size of the array by 3 elements.

a. Write a reduce-and-conquer recursive function FastRecSum()(C++ or python) that find

the sum of all float (real) elements in an array of size n.

b. Using addition of float (real) values as a basic operation, set up and solve a recurrence

relationship to compute the complexity of your code, as a function of the size n of the array.

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