In the analysis of algorithms, the Master theorem provides a cookbook solution in asymptotic terms (using Big O notation) for recurrence relations of types that occur in the analysis of many divide and conquer algorithms.
For master's theorem T(n) = a*T(n/b) + f(n) I am using 3 cases: If a*f(n/b) = …
algorithm big-o divide-and-conquer master-theoremI'm trying to solve a recurrence relation to find out the complexity of an algorithm using the Master Theorem and …
algorithm complexity-theory big-o recurrence master-theoremI am having some issues on how to solve recurrence relations. T(n) = T(n/2) + log2(n), T(1) = 1, where n …
algorithm math big-o recurrence master-theoremI know the formula for the recurrence relation is T(n)=aT(n/b)+f(n). And given that equation …
algorithm big-o recurrence master-theoremI am having some problem trying to understand why T(n)=16T(n/4)+n! is considered Θ(n!) I am using …
master-theoremRecently I have been studying recursion; how to write it, analyze it, etc. I have thought for a while that …
recursion recurrence master-theoremI am a student taking the algorithm course at university. I know how to apply a few recursive techniques to …
algorithm master-theorem