pset7

pset7 - return res 4) What is the computational complexity...

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MIT OpenCourseWare http://ocw.mit.edu 6.00 Introduction to Computer Science and Programming Fall 2008 For information about citing these materials or our Terms of Use, visit: http://ocw.mit.edu/terms .

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6.00 Problem Set 7 Out: Friday, October 17 Due: Tuesday, October 21 This problem set is designed to help you solidify your understanding of some material that we have covered in lecture, but not emphasized on the programming problems. You should do it, but do NOT hand it in. 1) What is the computational complexity of fact0? Explain your answer. def fact0(i): assert type(i) == int and i >= 0 if i == 0 or i == 1: return 1 return i * fact0(i-1) 2) What is the computational complexity of fact1? Explain your answer. def fact1(i): assert type(i) == int and i >= 0 res = 1 while i > 1: res = res * i i -= 1 return res 3) What is the computational complexity of makeSet? Explain your answer. def makeSet(s): assert type(s) == str res = '' for c in s: if not c in res: res = res + c
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Unformatted text preview: return res 4) What is the computational complexity of intersect? Explain your answer. def intersect(s1, s2): assert type(s1) == str and type(s2) == str s1 = makeSet(s1) s2 = makeSet(s2) res = '' for e in s1: if e in s2: res = res + e return res 5) Present a hand simulation of the code below. Describe the value to which each identifier is bound after each step of the computation. Note that s1 and s2 exist in more than one scope. def swap0(s1, s2): assert type(s1) == list and type(s2) == list tmp = s1[:] s1 = s2[:] s2 = tmp return s1 = [1] s2 = [2] swap0(s1, s2) print s1, s2 6) Present a hand simulation of the following code: def swap1(s1, s2): assert type(s1) == list and type(s2) == list return s2, s1 s1 = [1] s2 = [2] s1, s2 = swap1(s1, s2) print s1, s2 7) Present a hand simulation of the following code: def rev(s): assert type(s) == list for i in range(len(s)/2): tmp = s[i] s[i] = s[-(i+1)] s[-(i+1)] = tmp s = [1,2,3] rev(s) print s...
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pset7 - return res 4) What is the computational complexity...

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