Be $T(1) = b$ and $T(n) = aT(n/c) + bn^d$ for constants $a, b, c, d > 0$, 1. Show that $T(n) = \sum_{i=0}^{k} (\frac{a}{c^d})^i \cdot bn^d$ for all $n = c^k$ With $k \in \mathbb{N}$ applies. 2. Prove that for $n = c^k$ applies: $\circ T(n) \leq O(n^d \log n)$, if $a = c^d$ $\circ T(n) \leq O(n^{\log_c a})$, if $a > c^d$
Added by Tara H.
Close
Step 1
In this case, the recurrence relation becomes T(n) = cdT(n/c) + bnd. Using the Master Theorem, we can see that the runtime complexity can be expressed as T(n) = O(n^d log n). Now, let's prove that for n = ck, T(n) < O(nd log n). We can rewrite the recurrence Show more…
Show all steps
Your feedback will help us improve your experience
Cora Marcet and 91 other AP CS educators are ready to help you.
Ask a new question
Labs
Want to see this concept in action?
Explore this concept interactively to see how it behaves as you change inputs.
Key Concepts
Recommended Videos
Prove Theorem 2$(\mathrm{d}) .$ [Hint: The $(i, j)$ -entry in $(r A) B$ is $\left(r a_{i 1}\right) b_{1 j}+\cdots+\left(r a_{i n}\right) b_{n j} . ]$
Matrix Algebra
Matrix Operations
Show that if $a_{n}=a_{n-1}+a_{n-2}, \quad a_{0}=s$ and $a_{1}=t$ where $s$ and $t$ are constants, then $a_{n}=s f_{n-1}+t f_{n}$ for all positive integers $n .$
Advanced Counting Techniques
Solving Linear Recurrence Relations
(a) If c > 1, show that cn > c for all n ∈ N, and that cn > c for n > 1. (b) If 0 < c < 1, show that cn < c for all n ∈ N, and that cn < c for n > 1.
William M.
Recommended Textbooks
Computer Science and Information Technology
Introduction to Programming Using Python
Computer Science - An Overview
18,000,000+
Students on Numerade
Trusted by students at 8,000+ universities
Watch the video solution with this free unlock.
EMAIL
PASSWORD