Data Structures and Algorithm Analysis in Java (3rd Edition) by Mark A. Weiss

By Mark A. Weiss

Info buildings and set of rules research in Java is an “advanced algorithms” publication that matches among conventional CS2 and Algorithms research classes. within the previous ACM Curriculum guidance, this path was once often called CS7. this article is for readers who are looking to research sturdy programming and set of rules research abilities concurrently so that you can improve such courses with the utmost volume of potency. Readers must have a few wisdom of intermediate programming, together with themes as object-based programming and recursion, and a few heritage in discrete math.

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Additional info for Data Structures and Algorithm Analysis in Java (3rd Edition)

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6, which depicts a main that writes a "37" to a MemoryCell object and then reads from the MemoryCell object. To access a specific method of the object, we must downcast to the correct type. ) A second important detail is that primitive types cannot be used. Only reference types are compatible with Object. A standard workaround to this problem is discussed momentarily. 2 Wrappers for Primitive Types When we implement algorithms, often we run into a language typing problem: We have an object of one type, but the language syntax requires an object of a different type.

Inside the GenericMemoryCell class declaration, we can declare fields of the generic type and methods that use the generic type as a parameter or return type. 9, the write method for GenericMemoryCell requires a parameter of type String. Passing anything else will generate a compiler error. Interfaces can also be declared as generic. For example, prior to Java 5 the Comparable interface was not generic, and its compareTo method took an Object as the parameter. As a result, any reference variable passed to the compareTo method would compile, even if the variable was not a sensible type, and only at runtime would the error be reported as a ClassCastException.

Frequently, instead of saying “order . . ,” one says “Big-Oh . . ” If we use the traditional inequality operators to compare growth rates, then the first definition says that the growth rate of T(N) is less than or equal to (≤) that of f(N). The second definition, T(N) = (g(N)) (pronounced “omega”), says that the growth rate of T(N) is greater than or equal to (≥) that of g(N). The third definition, T(N) = (h(N)) (pronounced “theta”), says that the growth rate of T(N) equals (=) the growth rate of h(N).

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