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Suppose that the Josephus algorithm shown in Figure 142 is implemented with a v e c t o r instead of a 1i s t a If the change worked, what would be the running time b The change has a subtle error What is the problem and how can it be fixed In the Josephus algorithm shown in Figure 142, why can't we l replace lines 27 and 28 with the single assignment n e x t = i t r + Write a program that solves the historical version of the Josephus problem Give both the linked list and search tree algorithms Implement the Josephus algorithm with a queue Each pass of the potato is a dequeue followed by an enqueue

1414 Rework the simulation so that the clock is represented as a double the time between dial-in attempts is modeled with a negative exponential distribution, and the connect time is modeled with a negative exponential distribution 1415 Rework the modem bank simulation so that Event is an abstract base class and DialInEvent and HangUpEvent are derived classes The Event class should store a pointer to a ModemSim object as an additional data member, which is initialized on construction It should also provide an abstract method named doEvent that is implemented in the derived classes and that can be called from runsim to process the event

'7T-(q)

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1416 Implement the Josephus algorithm with splay trees (see 22) and sequential insertion (The splay tree class is available online, but it will need a findKth method) Compare the performance with that in the text and with an algorithm that uses a linear-time, balanced tree-building algorithm 1417 Rewrite the Josephus algorithm shown in Figure 143 to use a median heap (see Exercise 719) Use a simple implementation of the median heap; the elements are maintained in sorted order Compare the running time of this algorithm with the time obtained by using the binary search tree 1418 Suppose that FIU has installed a system that queues phone calls when all modems are busy Rewrite the simulation routine to allow for queues of various sizes Make an allowance for an infinite queue 1419 Rewrite the modem bank simulation to gather statistics rather than output each event Then compare the speed of the simulation, assuming several hundred modems and a very long simulation, with some other possible priority queues (some of which are available online)-namely, the following a An asymptotically inefficient priority queue representation described in Exercise 714 b An asymptotically inefficient priority queue representation described in Exercise 715 c Splay trees (see 22) d Skew heaps (see 23) e Pairing heaps (see 23)

3 typename is used to signal that Container:: const-iterator is a type; thus line 5 is a declaration

be a random vector, that is, a vector whose components are random variables. The expectation vector of y is defined to be

Some iterators that support even more are called random access iterators With a random access iterator, we can efficiently advance or retreat an arbitrary amount in a collection In other words the + and - operators are defined so that i tr+ 1 00 advances 100 positions Iterator subtraction is also allowed, so itrl -itr2 measures a separation d i ~ t a n c e ~ The type of iterators available depend upon the container Some containers export random access interators, while others export bidirectional iterators The iterators are the bridge between the containers and the algorithms A container will provide the maximally capable iterator reasonable, and an algorithm will require a minimally capable iterator reasonable

p,-(p) + p,.(k),

The STL provides numerous general purpose algorithms that operate on many of the containers We examine only a few of these algorithms, with the intention of showing the general ideas that pervade the STL, while documenting the specific algorithms to be used in Part 111 The STL algorithms make heavy use of function objects Consequently, the material in Section 52 is an essential prerequisite to this section

The function objects needed for the STL follow the convention described in Section 52 Specifically, these function objects are instances of classes that have implemented the function call operator, operator ( ) Some have function call operators that accept only one parameter and are called unary function objects Others have function call operators that accept two parameters the and are called binary function objects In the file <functional>, STL provides several function object templates We describe those used in this text

(12.45)

For many algorithms, such as sorting, a default ordering is used This ordering is to call operator< if the underlying collection has such an operator defined in it The function object template that encapsulates operator< is lessBecause less has a short implementation, as shown in Figure 77, seeing the implementation helps to illustrate the behavior

E(y) =

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