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Updated to follow the recommendations put forth by the ACM/SIGCSE 2001 task
force, Analysis of Algorithms, Second Edition raises awareness of the effects
that algorithms have on the efficiency of a program and develops the necessary
skills to analyze general algorithms used in programs. The text presents the
material with the expectation that it can be used with active and cooperative
learning methodology, based on the premise that students learn more effectively
and retain more information longer when they are active participants in the
learning process. To accomplish this, the chapters are clear and complete to
encourage students to prepare by reading before class, and the text is filled
with exciting examples and exercises that look at the efficiency of various
algorithms to solve a problem. The author is well known for workshops that he
presents on the active learning model. He has written an instructor's manual
that helps instructors understand how to present the material in an "active"