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1 . Describe an algorithm for locating the last occurrence of the largest number in a list of integers and determine the worst - case

1. Describe an algorithm for locating the last occurrence of the largest number in a list of integers and determine the worst-case time complexity of your algorithm.
2. Give a big-O estimate for (x^2+ x(log x)^3)(2^x + x3).
3. Find an example that shows that scheduling jobs in order of increasing time required does not always yield a schedule with the smallest possible maximum lateness.
4. Given n points in space (defined by their coordinates x, y) belonging to a class a, and m points in space belonging to a class b, write an algorithm that classifies a new point (x', y') as either class a or class b. You may use any criteria for your classification, but you have to argue why your criteria is a good idea.
5. Let P(n) be the statement that 1^2+2^2++ n^2= n(n+1)(2n +1)6 for the positive integer n.
a) What is the statement P(1)?
b) Show that P(1) is true, completing the basis step of a proof that P(n) is true for all positive integers n.
c) What is the inductive hypothesis of a proof that P(n) is true for all positive integers n?
d) What do you need to prove in the inductive step of a proof that P(n) is true for all positive integers n?
e) Complete the inductive step of a proof that P(n) is true for all positive integers n, identifying where you use the inductive hypothesis.
f) Explain why these steps show that this formula is true whenever n is a positive integer.
6. Prove that 2^n > n^2 if n is an integer greater than 4.

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