Exercises Exercises, provided at the end of each chapter, match the order in which material is pre- sented. Generally the references either are his- torical, representing the original source of the material, or they represent extensions and improvements to the results given in the text.
Some references represent solutions to exercises. Supplements The following supplements are available to all readers at www. Visit the IRC or contact your campus Pearson representative for access. Some are listed in other versions of the book; thanks to all.
As usual, the writing process was made easier by the professionals at Pearson. My wonderful wife Jill deserves extra special thanks for everything she does. My World Wide Web page www.
Suppose you have a group of N numbers and would like to determine the kth largest. This is known as the selection problem. One way to solve this problem would be to read the N numbers into an array, sort the array in decreasing order by some simple algorithm such as bubblesort, and then return the element in position k.
Next, each remaining element is read one by one.
As a new element arrives, it is ignored if it is smaller than the kth element in the array. Otherwise, it is placed in its correct spot in the array, bumping one element out of the array.
When the algorithm ends, the element in the kth position is returned as the answer. Specific topics covered in this course will include: advanced data structures e. The specific goals of this course are: To appreciate the role of algorithms in problem solving and software design, recognizing that a given problem might be solved with a variety of algorithms.
The student should be capable of selecting among competing algorithms and justifying their selection based on efficiency. To understand both the specifications and implementations of standard data structures lists, stacks, queues, linked structures, trees, maps , and be able to select and utilize appropriate data structures in developing programs. To develop programs using different problem-solving approaches divide-and-conquer, backtracking, dynamic programming , and be able to recognize when one approach is a better fit for a given problem.
To be able to design and implement a program to model a real-world system, and subsequently analyze its behavior.
To recognize the importance of object-oriented techniques, and be able to utilize inheritance and polymorphism to build upon existing code. Students will complete assignments throughout the semester. Most assignments will involve the design and implementation of Java programs that appropriately utilize data structures and algorithms.
He is an excellent scholar in his own right, and an excellent writer. Special emphasis 3. Weiss clearly explains topics from binary heaps to sorting to NP-completeness, and dedicates a full chapter to amortized analysis and advanced data structures and their implementation. I've spent the semester spending hours on Khan Academy, Google, or in my instructor's office seeking clarification of topics because trying to learn from this book is utterly hopeless. After data structures are finalized next step is designing the algorithm to solve the problem.
Assignments may also contain written components, for example, justifying design choices or analyzing program behavior. Beyond 7 days, late submissions will not be accepted.
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Library of Congress Cataloging-in-Publication Data. Weiss, Mark Allen. Data structures and algorithm analysis in Java / Mark Allen Weiss. – 3rd ed. p. cm. Data Structures and Algorithm Analysis in Java is an “advanced algorithms” book that fits between traditional CS2 and Algorithms Analysis courses. In the old.
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