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Ebook Download
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Product details
File Size: 11156 KB
Print Length: 664 pages
Simultaneous Device Usage: Up to 2 simultaneous devices, per publisher limits
Publisher: Pearson; 4 edition (June 11, 2013)
Publication Date: June 11, 2013
Sold by: Amazon Digital Services LLC
Language: English
ASIN: B00DESYHRC
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Amazon Best Sellers Rank:
#399,623 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
I love this book. I learn from it, not just basic algorithmic tools but also why they work the way they work. It helps me solidify the idea to see concepts implemented from scratch and then what is available in the STL to use directly.I hope I get to see more books from the author, perhaps advanced algorithms and data structures.
Written to illustrate and explain concepts, though there isn't enough C++ code and when there is, it can be difficult to follow.
Not worth the extravigant cost compared to the quality of content. If you dont have to have this for class, dont't buy it.
I did not particularly care for the writing style or layout of this book. The topics jumped around a lot and the explanations of various concepts were kind of vague.
Picked up the book for a preview to next semester's class. What I have seen so far is a decent introduction.
This is book is designed for a introduction to data structures and algorithm analysis but nothing more. The college that I attend uses only the basic containers (vectors and dynamic arrays) but requires the student to hard code linked lists and the more advanced data structures. This approach to programming, I believe, works best for most students (albeit a bit time consuming).As for understanding the algorithm analysis, most college require a more rigorous course to truly understand the changes to an algorithms running time. You're not a "wussie" if you find the book difficult to read (as previously mentioned by other reviewers) but you must read the book, take the best information that holistically fills your knowledge gap, and ignore the rest that doesn't make sense. Quite often, your professor can help fill in the gap. By the way, I'm not a genius (I have a hard earned 3.4 GPA). And like most things in life, the book has some high and low points.
Great book for DS beginnersHas lots of code to use for examples. No complaintsJust like any book their can be some confusing things but they explain well
I was required to purchase the book for class. Does not go into detail on any of the topics. There are much better data structure books. The book is too expensive for the amount of information it contains.
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