ps1sol

# ps1sol - Introduction to Algorithms Massachusetts Institute...

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Unformatted text preview: Introduction to Algorithms September 30, 2005 Massachusetts Institute of Technology 6.046J/18.410J Professors Erik D. Demaine and Charles E. Leiserson Handout 8 Problem Set 1 Solutions Problem 1-1. Asymptotic Notation For each of the following statements, decide whether it is always true , never true , or sometimes true for asymptotically nonnegative functions f and g . If it is always true or never true , explain why. If it is sometimes true , give one example for which it is true, and one for which it is false. (a) f ( n ) = O ( f ( n ) 2 ) Solution: Sometimes true : For f ( n ) = n it is true, while for f ( n ) = 1 /n it is not true. (The statement is always true for f ( n ) = Ω(1) , and hence for most functions with which we will be working in this course, and in particular all time and space complexity functions). (b) f ( n ) + g ( n ) = Θ (max ( f ( n ) , g ( n ))) Solution: Always true : max( f ( n ) , g ( n )) ≤ f ( n ) + g ( n ) ≤ 2 max( f ( n ) , g ( n )) . (c) f ( n ) + O ( f ( n )) = Θ( f ( n )) Solution: Always true : Consider f ( n ) + g ( n ) where g ( n ) = O ( f ( n )) and let c be a constant such that ≤ g ( n ) < cf ( n ) for large enough n . Then f ( n ) ≤ f ( n )+ g ( n ) ≤ (1 + c ) f ( n ) for large enough n . (d) f ( n ) = Ω( g ( n )) and f ( n ) = o ( g ( n )) (note the little- o ) Solution: Never true : If f ( n ) = Ω( g ( n )) then there exists positive constant c Ω and n Ω such that for all n > n Ω , cg ( n ) ≤ f ( n ) . But if f ( n ) = o ( g ( n )) , then for any positive constant c , there exists n o ( c ) such that for all n > n o ( c ) , f ( n ) < cg ( n ) . If f ( n ) = Ω( g ( n )) and f ( n ) = o ( g ( n )) , we would have that for n > max( n Ω , n o ( c Ω )) it should be that f ( n ) < c Ω g ( n ) ≤ f ( n ) which cannot be. (e) f ( n ) negationslash = O ( g ( n )) and g ( n ) negationslash = O ( f ( n )) Solution: Sometimes true : For f ( n ) = 1 and g ( n ) = bardbl n ∗ sin( n ) bardbl it is true, while for any f ( n ) = O ( g ( n )) , e.g. f ( n ) = g ( n ) = 1 , it is not true. 2 Handout 8: Problem Set 1 Solutions Problem 1-2. Recurrences Give asymptotic upper and lower bounds for T ( n ) in each of the following recurrences. Assume that T ( n ) is constant for n ≤ 3 . Make your bounds as tight as possible, and justify your answers....
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ps1sol - Introduction to Algorithms Massachusetts Institute...

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