Download Practical Introduction to Data Structures and Algorithms, by Clifford A. Shaffer PDF

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By Clifford A. Shaffer

The writer, Cliff Shaffer offers an exceptional studying device in case you hope extra rigorous info constructions and an set of rules research ebook using Java. whereas the writer covers many of the ordinary information buildings, he concentrates on instructing the rules required to pick or layout a knowledge constitution that will most sensible remedy an issue. The emphasis is on information constructions, and set of rules research, no longer educating Java. Java is applied strictly as a device to demonstrate facts constructions innovations and in basic terms the minimum, necessary subset of Java is incorporated.

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For an advanced, encyclopedic approach, see Introduction to Algorithms by Cormen, Leiserson, and Rivest [CLRS01]. Steven S. Skiena’s The Algorithm Design Manual [Ski98] provides pointers to many implementations for data structures and algorithms that are available on the Web. For a gentle introduction to ADTs and program specification, see Abstract Data Types: Their Specification, Representation, and Use by Thomas, Robinson, and Emms [TRE88]. The claim that all modern programming languages can implement the same algorithms (stated more precisely, any function that is computable by one programming language is computable by any programming language with certain standard capabilities) is a key result from computability theory.

First define two sets, P and Q. P = {2, 3, 5}, Q = {5, 10}. 25 26 Chap. 1 Set notation. |P| = 3 (because P has three members) and |Q| = 2 (because Q has two members). The union of P and Q, written P ∪ Q, is the set of elements in either P or Q, which is {2, 3, 5, 10}. The intersection of P and Q, written P ∩ Q, is the set of elements that appear in both P and Q, which is {5}. The set difference of P and Q, written P − Q, is the set of elements that occur in P but not in Q, which is {2, 3}. Note that P ∪ Q = Q ∪ P and that P ∩ Q = Q ∩ P, but in general P − Q = Q − P.

1 For the integers, = is an equivalence relation that partitions each element into a distinct subset. In other words, for any integer a, three things are true. 1. a = a, 2. if a = b then b = a, and 3. if a = b and b = c, then a = c. Of course, for distinct integers a, b, and c there are never cases where a = b, b = a, or b = c. So the claims that = is symmetric and transitive are vacuously true (there are never examples in the relation where these events occur). But because the requirements for symmetry and transitivity are not violated, the relation is symmetric and transitive.

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