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rpya fef function.

rpya fef function.

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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Krpya fef function. 

 

2 This algorithm takes two compatible two dimensional matrix } and return their product 1 Space complexity: 0(n^2) G Possible edge case: the number of columns of multiplicand not consistent with 5 the number of rows of multiplier, will raise exception 7 3 } 3 2 3 1 6 3 } } 2 8 1 5 6 rrrr Tr def multiply(multiplicand: list, multiplier; list) -> list; FT TT TT :type A: List[List[int]] :type B: List[List[int]] :rtype: List[List[int]] rr TT TT multiplicand_row, multiplicand_col. = Len( multiplicand), len(multiplicand[0]) multiplier_row, multiplier_col. = len(multiplier), len(multiplier [0]) if(multiplicand_col [= multiplier_row): raise Exception( "Multiplicand matrix not compatible with Multiplier matrix.") # create a result matrix result = [[0] * multiplier_col for i in range(multiplicand_row]] for i in range(multiplicand_row): for j in range(multiplier_col): for k in range(len(multiplier)): result[i][j] += multiplicand[i][k] * multiplier [k][j] return Facul+
Transcribed Image Text:2 This algorithm takes two compatible two dimensional matrix } and return their product 1 Space complexity: 0(n^2) G Possible edge case: the number of columns of multiplicand not consistent with 5 the number of rows of multiplier, will raise exception 7 3 } 3 2 3 1 6 3 } } 2 8 1 5 6 rrrr Tr def multiply(multiplicand: list, multiplier; list) -> list; FT TT TT :type A: List[List[int]] :type B: List[List[int]] :rtype: List[List[int]] rr TT TT multiplicand_row, multiplicand_col. = Len( multiplicand), len(multiplicand[0]) multiplier_row, multiplier_col. = len(multiplier), len(multiplier [0]) if(multiplicand_col [= multiplier_row): raise Exception( "Multiplicand matrix not compatible with Multiplier matrix.") # create a result matrix result = [[0] * multiplier_col for i in range(multiplicand_row]] for i in range(multiplicand_row): for j in range(multiplier_col): for k in range(len(multiplier)): result[i][j] += multiplicand[i][k] * multiplier [k][j] return Facul+
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