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Homework #2 Solution







1. Prove using only the definitions of asymptotic notations. (15p)

a. n2n

is in O( 22n )
b. n! is in Ω( 2n )

c. (log n) is in Ө( log 64 n )







2. Sort the following functions from slowest to fastest in terms of their growth. Using limit

estimation. (10p)



(lgn)lgn

, lg(n!) , n , lg(lg(n)) , lg( 2n ) , lg(lg( √n))






3. Solve the following recurrence relation using the substitution method. (15p) T(n) = 2T(n-1) + 1 n1, T(n) = 1 n=1

4. Explain the running time of f(n) using recurrence relation. (10p)







f(n):

if (n == 1)

return 1 else

return f(n-1) + f(n-1)







5. What does do UnknownFunction? Analyze the running time of UnknownFunction using proper asymptotic notations. (15p)




​UnknownFunction(n):

i = 0

while (n%2 == 0)

n = n/2 i++

return i







6. Write Insertion sort with pseudocode Explain analyze of your algorithm worst-case, best-case and average-case using proper asymptotic notations. (20p)







7. Calculate the running time of the Test function. Show your calculation in proper asymptotic notations. (20p)
Test(n):

for (int i = 1 ; i < 2n ; i+=4i)

for (int j = n ; j 0; j--)

if ( i*j == target)

target = checkFunc(n);

else







print();









checkFunc(n){

foo(n);

if (n == 1)

return 1;
else







}







return checkFunc(n/2);






foo(n){

for (int i = 0 ; i < n ; ++i)

print();

}
















*Assume that arithmetic operations and print() can be done in constant time.
















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