Master's Theorem Examples in Hindi | Recurrence Relation [ T(n)= aT(n/b) + n ] DAA | Algorithms

Master's Theorem is the best method to quickly find the algorithm's time complexity from its recurrence relation.

T(n)= aT(n/b) + f(n)
a ≥ 1, b ˃ 1

Master Theorem Part-1 Explained With Examples in Hindi l Design And Analysis Of Algorithm Course
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Hii......today we discuss about the topic Master's Theorems for solving recurrence.
In this video, we talk about the concept of master's theorem and also solve some recurrence example for finding time complexity using master's theorem.
In the analysis of algorithms, the master theorem for divide-and-conquer recurrences provides an asymptotic analysis for recurrence relations of types that occur in the analysis of many divide and conquer algorithms.

Master Method. The Master Method is used for solving the following types of recurrence. T (n) = a T + f (n) with a≥1 and b≥1 be constant & f(n) be a function and can be interpreted as. Let T (n) is defined on non-negative integers by the recurrence.

#masterstheorem #daa #recurrence #timecomplexity

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0:00 Intro

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