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It is important to say that this book is not "preachy." It addresses all sorts of believers and nonbelievers; there are quotes from the Bible, the Koran, and even non-theological writers interspersed in the margins throughout the book. Among those letters testifying to a certain faith, we find Jewish, Catholic, and even non-religious statements of faith. Clearly, this book can indeed provide motivation and comfort to an assortment of readers, no matter their religion. Since the topics covered range from death to emotional trauma to simple appreciation of the beauties of nature, I feel sure that everyone who reads this book will find at least one section that speaks to him/her personally and provides a measure of comfort, peace, or inspiration.
I find reading both these books to be enormously comforting. The stories they tell, from real people who've had real experiences, reassure me that none of us is alone, that help is at hand, and that no one need have fear. A touching and encouraging follow up to her first book.
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I used this book as a supplementary material in a graduate course on Algorithms, and I found that the book's explanations of the algorithms and their analysis are concise, easy-to-understand, and fairly complete. Complicated concepts are explained clearly and illustrated with appropriate examples.
Nevertheless, I would not recommend this book for beginners or for those who are not interested in having a thorough understanding of algorithms.
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Overall, I would recommend this book to any CS student that wants to go one step further in the Data Structure analysis.
This book changed it all. But make sure you are ready for this. Some have said that this is for academics only or that it is too difficult. You MUST know the basics first! Someone complained that the code is uncommented, Geez... The code fragments are quite short and very basic C++. If you don't know how to handle structs, templates, pointers and variable operations, then don't complain that this book is too difficult. You just haven't got the basics yet.
When you know the basics but need to know how to store data into the memory for the optimal use (instead of relying on arrays for everything), you must read a book on Data Structures and this book is among the best. Yes, it makes you work, yes you have to read carefully through the examples, but that is the nature of these things. You are no longer a beginner in first grade.
It is good to know some math, but if you don't need to learn the analysis (mostly for academic use) then you can skip the analysis stuff. Just learn to implement the structures and algorithms, the text will tell you which are the best ones.
I find this book very useful.
It has a lot of code examples, and in my oppinion it is perfect
for those who has some experience writing C++ code.
The implementations rely heavily on templates, which
(will effectively scare away the remaining students)
is actualy irrelevant when it comes to most of the algorithms.
I say this even if our course only covered 60-70 % of the book.
Luckily for me, I already loved templates when I started the course, but I dont think this was the case for most of my fellow students.
The book is vell organized, and it has a lot of "easy to understand" drawings all the way through.
It starts with a tutorial on advanced C++ topics for those who just finished their ABC book in C++ programming
(like Deitel&Deitel).
The code examples are very professional, tight and bug free.
If you are happy writing C code, this book is not for you.
There is some use of STL througout the book, but it does not require you to be an expert on the topic.
I think it has a deep and thorough examination of all the topics, and it covers more structures and algorithms I could dream of for at least the next 2 years.
I recommend this book to all C++ code writing engineer students
(who are not afraid of irrelevant templates)