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Find an element in a sorted array. I import math def jump_search(arr,target): I Worst-case Complexity: 0(√n) (root(n)) All items in list must be sorted like binary search Find block that contains target value and search it linearly in that block It returns a first target value in array reference: https://en.wikipedia.org/wiki/Jump_search m length = len(arr) block_size = int(math.sqrt(length)) block_prev = 0 block=block_size # return -1 means that array doesn't contain target value # find block that contains target value if arr[length - 1] < target: return -1 while block <= length and arr[block - 1] < target: block_prev= block block + block_size # find target value in block while arr[block_prev] < target: block_prev += 1 if block_prev == return -1 min(block, length) :

Find an element in a sorted array. I import math def jump_search(arr,target): I Worst-case Complexity: 0(√n) (root(n)) All items in list must be sorted like binary search Find block that contains target value and search it linearly in that block It returns a first target value in array reference: https://en.wikipedia.org/wiki/Jump_search m length = len(arr) block_size = int(math.sqrt(length)) block_prev = 0 block=block_size # return -1 means that array doesn't contain target value # find block that contains target value if arr[length - 1] < target: return -1 while block <= length and arr[block - 1] < target: block_prev= block block + block_size # find target value in block while arr[block_prev] < target: block_prev += 1 if block_prev == return -1 min(block, length) :

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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Find an element in a sorted array. import math def jump_search(arr,target): Worst-case Complexity: 0(√n) (root(n)) All items in list must be sorted like binary search Find block that contains target value and search it linearly in that block It returns a first target value in array reference: https://en.wikipedia.org/wiki/Jump_search length = len(arr) block_size = int(math.sqrt(length)) block_prev = 0 block block_size # return -1 means that array doesn't contain target value # find block that contains target value if arr[length - 1] < target: return -1 while block <= length and arr[block - 1] < target: block_prev= block block + block_size # find target value in block while arr[block_prev] < target: block_prev += 1 if block_prev == return -1 min(block, length):
Transcribed Image Text:Find an element in a sorted array. import math def jump_search(arr,target): Worst-case Complexity: 0(√n) (root(n)) All items in list must be sorted like binary search Find block that contains target value and search it linearly in that block It returns a first target value in array reference: https://en.wikipedia.org/wiki/Jump_search length = len(arr) block_size = int(math.sqrt(length)) block_prev = 0 block block_size # return -1 means that array doesn't contain target value # find block that contains target value if arr[length - 1] < target: return -1 while block <= length and arr[block - 1] < target: block_prev= block block + block_size # find target value in block while arr[block_prev] < target: block_prev += 1 if block_prev == return -1 min(block, length):
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