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Data Structures, Algorithms, and Software Principles in C
Download Data Structures, Algorithms, and Software Principles in C
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From the Back Cover
Using C, this book develops the concepts and theory of data structures and algorithm analysis step-by-step. It gradually proceeds from concrete examples to abstract principles. The presentation stresses motivation, intuition, and utility before giving technical details. Recurring themes, such as recursion, levels of abstraction, efficiency, representation, and trade-offs, unify the material completely. Important traditional and contemporary software engineering principles are also covered, including modularity, abstract data types and information hiding, as well as new developments, such as risk-based software life cycle models and object-oriented programming. 0201591189B04062001
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About the Author
Thomas A. Standish is the chairman of computer science at the University of California, Irvine. In 1990-91, he became the fourth winner of University of California Irvine's Distinguished Faculty Lectureship for Teaching, the campus' highest distinction for teaching excellence. He has also been a co-winner of his department's best-teacher award, chosen by the popular vote of University of California Irvine undergraduate computer science students. 0201591189AB04062001
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Product details
Paperback: 768 pages
Publisher: Pearson; 1 edition (October 10, 1994)
Language: English
ISBN-10: 9780201591187
ISBN-13: 978-0201591187
ASIN: 0201591189
Product Dimensions:
7.8 x 1.7 x 9.2 inches
Shipping Weight: 3 pounds (View shipping rates and policies)
Average Customer Review:
3.3 out of 5 stars
12 customer reviews
Amazon Best Sellers Rank:
#889,180 in Books (See Top 100 in Books)
I do not like this book
Best price for an excellent book in good condition. What else could I ask? Thank you
Good book for learning a bit more about C and algorithms and such. It was advertised as "new, never opened" which was not true as it had pages that were bent as bookmarks and had some wear on the edge and back, but this issue was identified and resolved by the seller. Only reason I'm not giving it 5 stars is because the contents of the book itself are a bit difficult to directly apply to projects and such compared to many other such books.
Which is what I really need
very useful
Textbook came in great quality, even the detachable formula sheets were still in it intact. Thank you
I have used this book in my data structures class. It has some good points. It covers each and every data structure in depth and discusses multiple implementations of each of them. It also makes liberal use of diagrams showing what the data structure is supposed to be doing in memory at that time. The problem with it is that it deals with everything very theoretically, often times letting the user puzzle out the implementations themselves. It is overly wordy, the explanations could be cut in half and made much more to the point without loosing anything. I don't know about anyone else but I like to be taught how to do something and then play with it for understanding. I don't like to have the entire theory of what is supposed to happen explained to me in the abstract and then being left to get it or not. Although there are people who learn best this way. If you are one of them then by all means pick up this book. My over all feeling is that it makes you work overly hard to acquire the knowledge that it presents.ContentsChapter 1 - Preparing for the JourneyChapter 2 - Linked Data RepresentationsChapter 3 - Introduction to RecursionChapter 4 - Modularity and Data AbstractionChapter 5 - Introduction to Software Engineering ConceptsChapter 6 - Introduction to Analysis of AlgorithmsChapter 7 - Linear Data Structures - Stacks and QueuesChapter 8 - Lists, Strings, and Dynamic Memory AllocationChapter 9 - TreesChapter 10 - GraphsChapter 11 - Hashing and the Table ADTChapter 12 - External Collections of DataChapter 13 - SortingChapter 14 - Advanced RecursionChapter 15 - Object-Oriented ProgrammingChapter 16 - Advanced Software EngineeringAppendix - Math Reference and Tutorial
Although this books claims to be a book for a second course in computer science, I disagree completely. Although it does have excellent diagrammatical representations of the underlying theory and concepts behind the data structures presented in the book, the explanations are extremely lacking. It is more of a discussion among computer scientists who already understand the concepts presented, as it just touches on a few points and leaves the rest our completely. I am using this book for a Data Structures class (which happens to be the second computer science course offered at my university) and it really has been a painful experience. The problem is that it will show you small pieces of the code needed to implement the data structures, and discusses them in general, but it doesn't give you enough to use if you don't quite understand and want to play around with some simple code until you do. I have had to either use code provided by my professor, or have gone online to find random course websites with a simple implementation of a particular data structure. It seems that, as an introduction to data structures, it fails; and if you already understand the material you would follow the book, but if you already understand it, you wouldn't be reading the book anyway. Skip this book! I wish I had another one to recommend in its place, but I haven't been able to find one.
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