Data Structures and Their Algorithms 1st Edition by Harry R. Lewis (PDF)

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Ebook Info

  • Published: 1991
  • Number of pages: 528 pages
  • Format: PDF
  • File Size: 24.87 MB
  • Authors: Harry R. Lewis

Description

This book in an all-inclusive presentation introduces the datastructures (and their algorithms) that comprise the foundationof software engineering. Designed to show students at the sophomorelevel the connection between a programming approach and mathematicaltheory, the text focuses on practical techniques for studentsto master data structures and efficient algorithm implementation.Other topics pertinent to programmers also receive coverage. Chapter-endingproblems and references give students a helpful review and solidifychapter concepts. 067339736XB04062001

User’s Reviews

Editorial Reviews: From the Back Cover This book in an all-inclusive presentation introduces the datastructures (and their algorithms) that comprise the foundationof software engineering. Designed to show students at the sophomorelevel the connection between a programming approach and mathematicaltheory, the text focuses on practical techniques for studentsto master data structures and efficient algorithm implementation.Other topics pertinent to programmers also receive coverage. Chapter-endingproblems and references give students a helpful review and solidifychapter concepts. 067339736XB04062001

Reviews from Amazon users which were colected at the time this book was published on the website:

⭐old text book, but a lot of details on pseudo code of algorithms in data structures.

⭐I never really appreciated this book until many years after graduating from college. I had this in my library just sitting around. The data structures course I took in school was completely uninspiring. However, when it came to researching and implementing appropriate data structures for my own software, I didn’t realize how comprehensive this book is. It covers more algorithms and in greater detail than the ever popular Cormen book. The pascal-like examples are very thorough. There are times when code is not provided, but it gives you enough detail to extrapolate from what is already there to get started.

⭐One of the best ways to discover the strengths and weaknesses of a textbook is to teach a course using it. A few years ago I taught a senior-level course on Data Structures using this book. The book was a joy to teach from, and I would happily use it again — I thought it was one of the nicest textbooks I’ve ever used.(In case you haven’t figured it out from the above paragraph, I believe that Paul Schreiber’s review of this book is far too negative.)

⭐This is one of the 2 texts we’ve had for our data structures course. I’m not sure what the other book is, because this one was so good. It covered the material in a clear and precise way. I even have a copy of this book today, for further reference!

⭐I seriously like this book. It’s explaining is close to crystal clear to me when I read it, and the algorithms listed (in pseudo-code) take it to a practical level.

⭐In this book, Lewis and Denenberg attempt to explain data structures and associated algorithms. They rely too heavily on obscure proofs, have few, if any worked-out examples and many ambiguously worded questions. Their assesrrtion that a “high school” math background is needed is clearly false. The book also suffers from poor typesetting.

Keywords

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