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Another broad definition comes from the Association for Computing Machinery (ACM) Model Curriculum. It says that computer science is the study of computers and algorithmic processes, including their principles, their hardware and software design, their applications, and their impact on society. A famous definition of computer science by Gibbs and Tucker (Gibbs and Tucker, A Model Curriculum for a Liberal Arts Degree in Computer Science, Comm. of the ACM, vol. 29, no. 3, March 1986) emphasizes algorithm development and analysis as the central focus of computer science. It s also a fair question to ask, How is computer science a science In contrast to physics, biology, and chemistry, computer science is not based on the study of the natural world. In that sense, computer science is more like mathematics than science. Some argue that computer science is really computer art (where art means practice). On the other hand, computer scientists do use the scientific method to propose and test hypotheses, and some very nonobvious discoveries in computer science have important real-world implications. An example, which we will discuss later, is the discovery that some important problems simply cannot be solved by computation. Despite many variations, essentially all definitions of computer science emphasize the study of algorithms. Algorithms, in one form or another, are central to computer science. Computer science combines the theoretical concepts of algorithm design and analysis with the practical considerations of how to implement algorithms on a computer and solve practical problems.

The var-args constructor is tested at lines 3 4, and the two-argument constructor is tested at line 18. The other testing includes checking (at lines 9 10) that the plus() method is commutative: p + q = q + p, and (at lines 14 16) that the zero polynomial z satisfies the defining condition p + z = z + p = p.

CHAP. 7]

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There is no standard pseudocode form, and many computer scientists develop a personal style of pseudocode that suits them and their tasks We will use the following pseudocode style to represent the GCD algorithm: GCD ( a, b ) While b ! = 0 { r <-- a modulo b a <-- b b <-- r } return a CHARACTERIZING ALGORITHMS To illustrate how different algorithms can have different performance characteristics, we will discuss a variety of algorithms that computer scientists have developed to solve common problems in computing Sequential search Suppose one is provided with a list of people in the class, and one is asked to look up the name Debbie Drawe A sequential search is a brute force algorithm that one can use With a sequential search, the algorithm simply compares each name in the list to the name for which we are searching.

7.1 7.2 7.3 7.4 7.5 7.6 7.7

The search ends when the algorithm finds a matching name, or when the algorithm has inspected all names in the list Here is pseudocode for the sequential search The double forward slash // indicates a comment Note, too, the way we use the variable index to refer to a particular element in list_of_names For instance, list_of_names[3] is the third name in the list Sequential_Search(list_of_names, name) length <-- length of list_of_names match_found <-- false index <-- 1 // While we have not found a match AND // we have not looked at every person in the list, // (The symbol <= means "less than or equal to") // continue ...

What is the difference between the Collection interface and the List interface What is the difference between the AbstractCollection class and the AbstractList class What is the difference between the AbstractList class and the AbstractSequentialList class What is the difference between the Iterator interface and the ListIterator interface What is the difference between the ArrayList class and the LinkedList class What is the difference between an ArrayList object and a Vector object In deciding whether to use an ArrayList or a LinkedList in an application, what factors make one choice better than the other

7.1 Implement the following method:

// Once we find a match or get to the end of the list, // we are finished while match_found = false AND index <= length { // // // if The index keeps track of which name in the list we are comparing with the test name If we find a match, set match_found to true list_of_names[index] = name then match_found <-- true index <-- index + 1 } // match_found will be true if we found a match, and // false if we looked at every name and found no match return match_found end Function name and arguments ! = means not equal indentation shows what to do while b ! = 0 set r = a modulo b ( = remainder a/b) set a = original b set b = r (ie.

public static void loadRandomLetters(LinkedList list, int n) // fills list with n randomly generated capital letters

7.2 7.3 7.4

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