Chapter 8: Q49E (page 526)
Use Exercise 48 to solve the recurrence relation\((n + 1){a_n} = (n + 3){a_{n - 1}} + n\) , for \(n \geqslant 1\), with \({a_0} = 1\)
Short Answer
Thus, the result is
Chapter 8: Q49E (page 526)
Use Exercise 48 to solve the recurrence relation\((n + 1){a_n} = (n + 3){a_{n - 1}} + n\) , for \(n \geqslant 1\), with \({a_0} = 1\)
Thus, the result is
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Get started for freeShow that the algorithm from Exercise \({24}\) has worst-case time complexity \({O}\left( {{log n}} \right)\)in terms of the number of comparisons.
Find the coefficient of \({x^{10}}\) in the power series of each of these functions.
a) \({\left( {1 + {x^5} + {x^{10}} + {x^{15}} + \cdots } \right)^3}\)
b) \({\left( {{x^3} + {x^4} + {x^5} + {x^6} + {x^7} + \cdots } \right)^3}\)
c) \(\left( {{x^4} + {x^5} + {x^6}} \right)\left( {{x^3} + {x^4} + {x^5} + {x^6} + {x^7}} \right)(1 + x + \left. {{x^2} + {x^3} + {x^4} + \cdots } \right)\)
d) \(\left( {{x^2} + {x^4} + {x^6} + {x^8} + \cdots } \right)\left( {{x^3} + {x^6} + {x^9} + } \right. \cdots \left( {{x^4} + {x^8} + {x^{12}} + \cdots } \right)\)
e) \(\left( {1 + {x^2} + {x^4} + {x^6} + {x^8} + \cdots } \right)\left( {1 + {x^4} + {x^8} + {x^{12}} + } \right. \cdots )\left( {1 + {x^6} + {x^{12}} + {x^{18}} + \cdots } \right)\)
Find the sequence with each of these functions as its exponential generating function.
Use generating functions to find the number of ways to choose a dozen bagels from three varieties—egg, salty, and plain—if at least two bagels of each kind but no more than three salty bagels are chosen.
In this exercise we construct a dynamic programming algorithm for solving the problem of finding a subset S of items chosen from a set of n items where item i has a weight , which is a positive integer, so that the total weight of the items in S is a maximum but does no exceed a fixed weight limit W. Let denote the maximum total weight of the items in a subset of the first j items such that this total weight does not exceed w. This problem is known as the knapsack problem.
a) Show that if, then
b) Show that if , then.
c) Use (a) and (b) to construct a dynamic programming algorithm for determining the maximum total weight of items so that this total weight does not exceed W. In your algorithm store the values as they are found.
d) Explain how you can use the values computed by the algorithm in part (c) to find a subset of items with maximum total weight not exceeding W.
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