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Introduction to Algorithms Dark Demon h33t

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Author: Thomas Cormen, Charles Leiserson, Ronald Rivest, Clifford Stein
Publisher: McGraw-Hill Science/Engineering/Math
Language: English
ISBN-10: 0072970545
ISBN-13: 978-0072970548
Format: pdf
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The updated new edition of the classic Introduction to Algorithms is

intended primarily for use in undergraduate or graduate courses in

algorithms or data structures. Like the first edition, this text can also

be used for self-study by technical professionals since it discusses

engineering issues in algorithm design as well as the mathematical aspects.

In its new edition, Introduction to Algorithms continues to provide a

comprehensive introduction to the modern study of algorithms. The revision

has been updated to reflect changes in the years since the book's original

publication. New chapters on the role of algorithms in computing and on

probabilistic analysis and randomized algorithms have been included.

Sections throughout the book have been rewritten for increased clarity, and

material has been added wherever a fuller explanation has seemed useful or

new information warrants expanded coverage.

As in the classic first edition, this new edition of Introduction to

Algorithms presents a rich variety of algorithms and covers them in

considerable depth while making their design and analysis accessible to all

levels of readers. Further, the algorithms are presented in pseudocode to

make the book easily accessible to students from all programming language

backgrounds.

Each chapter presents an algorithm, a design technique, an application

area, or a related topic. The chapters are not dependent on one another, so

the instructor can organize his or her use of the book in the way that best

suits the course's needs. Additionally, the new edition offers a 25%

increase over the first edition in the number of problems, giving the book

155 problems and over 900 exercises that reinforce the concepts the

students are learning.

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