By Clifford A. Shaffer

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Extra info for A Practical Introduction to Data Structures and Algorithm Analysis Third Edition (Java Version)

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Its much easier to discuss a design issue when you share a vocabulary relevant to the topic. Specific design patterns emerge from the discovery that a particular design problem appears repeatedly in many contexts. They are meant to solve real problems. Design patterns are a bit like generics: They describe the structure for a design solution, with the details filled in for any given problem. Design patterns are a bit like data structures: Each one provides costs and benefits, which implies that tradeoffs are possible.

Random(i)); // swap A[i-1] with } // a random element Boolean variables: A Boolean variable is a variable (of type boolean in Java) that takes on one of the two values true and false. These two values are often associated with the values 1 and 0, respectively, although there is no reason why this needs to be the case. It is poor programming practice to rely on the correspondence between 0 and false, because these are logically distinct objects of different types. Floor and ceiling: The floor of x (written x ) takes real value x and returns the greatest integer ≤ x.

B) A necessary intermediate step on the road to a solution. How can you solve this problem? It is easy if you don’t think too hard about the details. Instead, consider that all rings are to be moved from Pole 1 to Pole 3. It is not possible to do this without first moving the bottom (largest) ring to Pole 3. To do that, Pole 3 must be empty, and only the bottom ring can be on Pole 1. b. How can you do this? Assume that a function X is available to solve the problem of moving the top n − 1 rings from Pole 1 to Pole 2.

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A Practical Introduction to Data Structures and Algorithm Analysis Third Edition (Java Version) by Clifford A. Shaffer


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