Algorithms and Complexity by Herbert S. Wilf

By Herbert S. Wilf

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M (b) m>1 (2m + 7)/5 19 j (c) j=0 (j/2 ) (d) 1 − x/2! + x2 /4! − x3 /6! 4. Recurrence Relations 27 (e) 1 − 1/32 + 1/34 − 1/36 + · · · ∞ 2 (f) m=2 (m + 3m + 2)/m! 2. Explain why  r≥0 (−1) r π 2r+1 /(2r + 1)! = 0. 3. Find the coefficient of tn in the series expansion of each of the following functions about t = 0. 4 Recurrence Relations A recurrence relation is a formula that permits us to compute the members of a sequence one after another, starting with one or more given values. Here is a small example.

Then 13 would be representable by 3 · 22 + 1 · 20 or by 2 · 22 + 2 · 21 + 1 · 20 , etc. So if we were to allow too many different digits, then numbers would be representable in more than one way by a string of digits. If we were to allow too few different digits, then we would find that some numbers have no representation at all. For instance, if we were to use the decimal system with only the digits 0, 1, . . , 8, then infinitely many numbers would not be able to be represented, so we had better keep the 9s.

Find, by direct application of Taylor’s theorem, the power series expansion of f (x) = 1/(1 − x)m+1 about the origin. Express the coefficients as certain binomial coefficients. 5. Complete the following twiddles. i J ∼? (a) 2n J in (b) blogn nc ∼ ? 2 i n J (c) bθnc ∼? in2 J (d) n ∼ ? 6. How many ordered pairs of unequal elements of [n] are there? 7. Which one of the numbers {2j inJ n }j=0 is the biggest? 6 Graphs A graph is a collection of vertices, certain unordered pairs of which are called its edges.

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