Compute the computational complexity of the following code snippets (in “Big-O” notation): (a) for (i = 1; i < n; i *= 2) { for (j = n; j > 0; j /= 2) { for (k = j; k < n; k += 2) { sum + (i+j k ); } (b) Assume that n = 2m. } for (i = n; i > 0; i--) { for(j= 1; j

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
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Exercise 7:
Compute the computational complexity of the following code snippets (in “Big-O” notation):
(a) for (i = 1; i < n; i
* = 2) {
for (j = n; j > 0; j /= 2) {
for
(k = j; k < n; k += 2) {
sum += (1 + j * k );
}
}
(b) Assume that n = 2m:
}
}
for (i = n; i 0; i--) {
for(j = 1; j < n; j *= 2) {
for (k = 0; k<j; k++) {
}
// constant number X of operations
Transcribed Image Text:Exercise 7: Compute the computational complexity of the following code snippets (in “Big-O” notation): (a) for (i = 1; i < n; i * = 2) { for (j = n; j > 0; j /= 2) { for (k = j; k < n; k += 2) { sum += (1 + j * k ); } } (b) Assume that n = 2m: } } for (i = n; i 0; i--) { for(j = 1; j < n; j *= 2) { for (k = 0; k<j; k++) { } // constant number X of operations
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