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divide and conquer algorithm time complexity

SJ answered on September 17, 2022 Popularity 9/10 Helpfulness 4/10

answer divide and conquer algorithm time complexity

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divide and conquer algorithm time complexity

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T(n) = aT(n/b) + f(n),
where,
n = size of input
a = number of subproblems in the recursion
n/b = size of each subproblem. All subproblems are assumed to have the same size.
f(n) = cost of the work done outside the recursive call, which includes the cost of dividing the problem and cost of merging the solutions

Popularity 9/10 Helpfulness 4/10 Language whatever

Source: www.programiz.com

Tags: algorithm divide-and-conquer time-complexity whatever

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Contributed on Sep 17 2022

0 Answers Avg Quality 2/10

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divide and conquer algorithm time complexity

Comment

T(n) = aT(n/b) + f(n),
where,
n = size of input
a = number of subproblems in the recursion
n/b = size of each subproblem. All subproblems are assumed to have the same size.
f(n) = cost of the work done outside the recursive call, which includes the cost of dividing the problem and cost of merging the solutions

Popularity 9/10 Helpfulness 1/10 Language whatever

Source: www.programiz.com

Tags: algorithm algo

Link to this answer
Share Copy Link

Contributed on Sep 17 2022

0 Answers Avg Quality 2/10

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divide and conquer algorithm time complexity

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