1. CLRS 3.2-2 Explain why the statement, "The running time of Algorithm $A$ is at least $O(n^2)$" is meaningless
2. CLRS 3-1abc Asymptotic behavior of polynomials
3. CLRS 3-2 Do only the $O, \text{ } \Omega , \text{ and } \Theta$ columns
4. CLRS 3-4adfg
5. CLRS 3-3 Order by asymptotic growth rates: ($g_1=\Omega(g_2)$) \(\begin{array}{llllll}\\ lg(lg^*n) & 2^{lg^*n} & (\sqrt{2})^{lg n} & n^2 & n! & (lg n)!\\ \frac{3}{2}^n & n^3 & lg^2n & lg(n!) & 2^{2^n}& n^{\frac{1}{lgn}}\\ lnln n & lg^* n & n\cdot 2^n & n^{lglgn} & ln n & 1\\ 2^{lgn} & (lg n)^{lg n} & e^n & 4^{lgn} & (n+1)! & \sqrt{lg n}\\ lg^*(lgn) & 2^{\sqrt{2lgn}} & n & 2^n & nlogn & 2^{2^{n+1}}\\ \end{array}\)