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Get the time complexity function from the pseudocode for the addition of the 2 matrices below, and prove whether the big-oh is O(n^2) so that it satisfies the rule f(n) <= c g(n); / add two matrices for(i = 0 ; i < rows; i++){ for(j = 0; j < columns; j++) matrix2[i][j] = matrix1[i][j] + matrix2[i][j]; } // display the result for(i = 0 ; i < rows; i++){ for(j = 0; j < columns; j++){ printf("%d ", matrix2[i][j]);

Get the time complexity function from the pseudocode for the addition of the 2 matrices below, and prove whether the big-oh is O(n^2) so that it satisfies the rule f(n) <= c g(n); / add two matrices for(i = 0 ; i < rows; i++){ for(j = 0; j < columns; j++) matrix2[i][j] = matrix1[i][j] + matrix2[i][j]; } // display the result for(i = 0 ; i < rows; i++){ for(j = 0; j < columns; j++){ printf("%d ", matrix2[i][j]);

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Get the time complexity function from the pseudocode for the addition of the 2 matrices below, and prove whether the big-oh is O(n^2) so that it satisfies the rule f(n) <= c g(n);

/ add two matrices
for(i = 0 ; i < rows; i++){
for(j = 0; j < columns; j++)
matrix2[i][j] = matrix1[i][j] + matrix2[i][j];
}
// display the result
for(i = 0 ; i < rows; i++){
for(j = 0; j < columns; j++){
printf("%d ", matrix2[i][j]);
}
printf("\n");
}

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