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Algorithms in Java, 2 vols.: Fundamentals, Data Structures, Sorting, Searching, and Graph Algorithms (Englisch) Taschenbuch – September 2003

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Software developers and computer scientists have eagerly awaited this Java version of Robert Sedgewick's landmark text on algorithms. All five parts are completely revamped, illuminating today's best algorithms for an exceptionally wide range of tasks. This is a shrink-wrapped bundle of Algorithms in Java, 3/e, Parts 1-4 and Algorithms in Java, 3/e, Part 5. The price of the bundle is $10 off the cost of buying the volumes individually.

Über den Autor und weitere Mitwirkende

Robert Sedgewick is one of the most revered individuals in computer science. He is the William O. Baker Professor of Computer Science at Princeton University. He is a director of Adobe Systems and has held visiting research positions at INRIA, the Institute for Defense Analyses, and Xerox PARC. Michael Schidlowsky contributed to the Java implementations. Michael, a Princeton graduate, is an independent software consultant specializing in object-oriented programming. Most recently he was the CTO of Teaching That Works, and the founder of xSense Corporation.

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8 von 8 Kunden fanden die folgende Rezension hilfreich
Excellent book 10. November 2005
Von Amazon Customer - Veröffentlicht auf
Format: Taschenbuch Verifizierter Kauf
First is Knuth, second is Corman that brings the art of algorithms closer to earth. Then is Sedgewick. This book provides very good balance between theory and practice and lets the practitioners know that programming is a bit more than just writing "if" and "for" and that the art of algorithms is not only art but also science. This book evolved from early editions (Algorithms in C, 1990) and keeps the standard. These two volumes is the must for every serious programmer.

Cons: Java code is a bit "C-ish" and makes it clear that it is easy to write C program in Java. In addition, section Geometric Algorithms from 1990 edition and other material following this section is missing in newer editions. Maybe this material will be included in Volume 3, that as rumor says, is in preparation.
8 von 9 Kunden fanden die folgende Rezension hilfreich
More Practical for Programmers Than Cormen's 8. September 2007
Von John Grove - Veröffentlicht auf
Format: Taschenbuch
These text(s) do for the software engineer what Cormen's book does for the scientist. To be knowledgable with algorithms will greatly seperate you from a novice.

Very good examples and using Java is very smart because most OO programmers can easily understand the language (C# is practically identical).

For those who struggle with the Cormen book, (Like I did) it would do you well to get this book. You will refer to it time and time again in your career as a software developer while the Cormen book collects dust on the shelf.
17 von 22 Kunden fanden die folgende Rezension hilfreich
Excellent combination of books 25. Mai 2004
Von W Boudville - Veröffentlicht auf
Format: Taschenbuch
Sedgewick's publisher (Addison-Wesley) has gathered his two books, Algorithms in Java, parts 1-5, into one resource for developers. Convenient, for you now have something that spans the most common algorithms encountered during computer programming. Logically, the combination of the two volumes is very coherent.
(Below is my review of the Part 1-4 book.)
In my work, I have a bunch of interlinked objects. I can use tables to display these, but showing linkages is awkward. It is far more natural to graph them. This lets me use evolution, for the human eye and brain are excellent at processing images and discerning patterns in them. But I also want to algorithmically find groupings and invariant properties of the graphs. There is a danger here. In graph theory, it is very easy to inadvertantly pose a simple question that is computationally hard to solve (NP-hard). Conversely, I don't want to reinvent the wheel. From graph theory, there may well be properties of my graph that I can easily extract. Certainly, the amount of research on graphs is voluminous.
But how does one take advantage of that? Consulting research journals in maths for papers on graph theory is really feasible only for the career mathematician. But for me, graphs are just a tool; not an ends per se. So I need a book that has the right amount of complexity. It needs to get enough into the subject, beyond the trivial exposition of definitions. Yet it should not bury me in lemmas and theorems.
I found such a book! This one. A well deserved third iteration. The explanations are extremely clear. Before I encountered this text, I used Donald Knuth's "Art of Computer Programming" (which is also put out by Addison-Wesley) and his treatment of graphs. But Sedgewick's discourse is far more extensive and, to me, just as well written.
A bonus is the extensive problem sets at the ends of each chapter. Even if I have no inclination to do them, the results they give are a valuable extension of the text, by providing an extra summary of the research. I only wish that Sedgewick would provide answers, like Knuth. But this is a just a quibble.
This edition has example code in Java. Certainly nothing wrong with that. [I program in Java.] But really the code should be a secondary consideration to you. If you are a programmer and you can understand the text, then you should be of a calibre that you can write the code.
11 von 14 Kunden fanden die folgende Rezension hilfreich
Good Explanations Of Concepts, Poor Coding 18. November 2008
Von Russell D. Holloway - Veröffentlicht auf
Format: Taschenbuch Verifizierter Kauf
The book is very detailed at explaining various algorithms, efficiencies, and hitting on the advantages and disadvantages of each algorithm. If you read through the chapters sequentially and study them in detail, you will certainly learn a lot about the various algorithms.

However, the examples and code used in the book is impossible to follow. If you wish to implement any of the algorithms, you really just have to write the algorithm yourself - it may even be easier to write it from scratch without even looking at the authors examples. This is NOT a book to go to if you want to type up a given sorting algorithm to use for some purpose. The code is hard to follow due to horrible variable naming, references back to code from previous chapters, relies on code from previous chapters, relies on code that the reader is supposed to write as part of the exercises, etc.

I've been working on trying to get a running copy of my own for Radix sort typed up. I thought I would type up the code in this book. That's not working. I've been at it for a couple hours now and I still am jumping around trying to put together the bits of code scattered throughout the book and understand the variables.

So - this book is for people who are interested in studying and learning about the various algorithms, but not for people who learn best by examples. There is plenty to read on the algorithms and much discussion on how they work and when they work best, but trying to make sense out of the code examples is near impossible.
18 von 26 Kunden fanden die folgende Rezension hilfreich
extremelly hard to follow book 7. November 2007
Von A. Simionoiu - Veröffentlicht auf
Format: Taschenbuch
This book is a total mess, I don't know if it's the author or the publisher but is written in a style that got me really frustrated.

The author has the bad habit of start explaining a thing a little bit (not enough to fully understand it) then say something like "we will cover this topic in depth in chapter 7", and you are in chapter 2. This sort of jump back and forth is completely frustrating, the book doesn't seem to have any kind of flow. The same technique is used inside a chapter too, you start reading about something then the author start diverging in the middle of the topic to come back after few pages.

The code samples are a total mess, it's just really bad. I mean common, read any introductory book in software development and you get warned in the first chapter not to name your variables i,j,v i1...just give them a meaningful name.
Every time I read sample code in this book I had to spent at least 20 minutes deciphering what the variables are suppose to be, why the author define variables that are not used at all or they don't have any kind of effect on the end result (yes, I did found a whole bunch of these). If you don't know Java or don't care to follow any of Java standards fine, write C code or something, at least I will be prepared to read obfuscated code.

I give this book 2 stars, it has after all a lot of information in it, even if it is scattered all over the place
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