![The Substitution method T(n) = 2T(n/2) + cn Guess:T(n) = O(n log n) Proof by Mathematical Induction: Prove that T(n) d n log n for d>0 T(n) 2(d n/2. - The Substitution method T(n) = 2T(n/2) + cn Guess:T(n) = O(n log n) Proof by Mathematical Induction: Prove that T(n) d n log n for d>0 T(n) 2(d n/2. -](https://slideplayer.com/4773853/15/images/slide_1.jpg)
The Substitution method T(n) = 2T(n/2) + cn Guess:T(n) = O(n log n) Proof by Mathematical Induction: Prove that T(n) d n log n for d>0 T(n) 2(d n/2. -
![5/5/20151 Analysis of Algorithms Lecture 6&7: Master theorem and substitution method. - ppt download 5/5/20151 Analysis of Algorithms Lecture 6&7: Master theorem and substitution method. - ppt download](https://images.slideplayer.com/14/4213628/slides/slide_6.jpg)
5/5/20151 Analysis of Algorithms Lecture 6&7: Master theorem and substitution method. - ppt download
![5/5/20151 Analysis of Algorithms Lecture 6&7: Master theorem and substitution method. - ppt download 5/5/20151 Analysis of Algorithms Lecture 6&7: Master theorem and substitution method. - ppt download](https://images.slideplayer.com/14/4213628/slides/slide_31.jpg)
5/5/20151 Analysis of Algorithms Lecture 6&7: Master theorem and substitution method. - ppt download
![Recurrences The expression: is a recurrence. –Recurrence: an equation that describes a function in terms of its value on smaller functions Analysis of. - ppt download Recurrences The expression: is a recurrence. –Recurrence: an equation that describes a function in terms of its value on smaller functions Analysis of. - ppt download](https://images.slideplayer.com/17/5284426/slides/slide_5.jpg)