Data Structures and Algorithms in Java Review

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Data Structures and Algorithms in Java ReviewI'm finding the 4th edition reasonably clear and comprehensive. However, the book is teeming with typographical errors. Most of them are typesetting errors involving superscripts and subscripts that overlap the adjacent characters so they aren't fully legible. But there are numerous other miscellaneous typos.
So, I've been marking them in my copy, in order to submit them to the authors or publisher, but apparently they don't want to know about the typos. The "errata" section at java.datastructures.net contains no errata and no instructions on how to submit errata. I wrote to one of the authors to ask how to submit errata, but received no reply.Data Structures and Algorithms in Java OverviewFundamental data structures in a consistent object-oriented frameworkNow revised to reflect the innovations of Java 5.0, Goodrich and Tamassia's Fourth Edition of Data Structures and Algorithms in Java continues to offer accessible coverage of fundamental data structures, using a consistent object-oriented framework. The authors provide intuition, description, and analysis of fundamental data structures and algorithms. Numerous illustrations, web-based animations, and simplified mathematical analyses justify important analytical concepts.Key Features of the Fourth Edition:* Updates to Java 5.0 include new sections on generics and other Java 5.0 features, and revised code fragments, examples, and case studies to conform to Java 5.0.* Hundreds of exercises, including many that are new to this edition, promote creativity and help readers learn how to think like programmers and reinforce important concepts.* New case studies illustrate topics such as web browsers, board games, and encryption.* A new early chapter covers Arrays, Linked Lists, and Recursion.* A new final chapter on Memory covers memory management and external memory data structures and algorithms.* Java code examples are used extensively, with source code provided on the website.* Online animations and effective in-text art illustrate data structures and algorithms in a clear, visual manner.Access additional resources on the web www.wiley.com/college/goodrich):* Java source code for all examples in the book* Animations* Library (net.datastructures) of Java constructs used in the book* Problems database and search engine* Student hints to all exercises in the book* Instructor resources, including solutions to selected exercises* Lecture slides

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Data Structures and Program Design In C (2nd Edition) Review

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Data Structures and Program Design In C (2nd Edition) ReviewI just finished an online course on data structures at UMass, Lowell (secured an A grade without any problem) and this is the textbook used for this course. I agree with some of the comments made by the reviewers here - that typedef's are used beyond reason, code is presented in fragments. I must strongly disagree with the reviewers who said - the book is not worth the money (it's cheap if you buy a used one), it is a bad book, useful only as a paper weight. The strong plus point for this book is that it presents theory well - there are many figures using which it is easy to understand complicated stuff. The other plus point is that it also analyzes the performance of algorithms and I felt the book does a great job of explaining this part in clear terms. The main drawback is that the code is fragmented and spread out, which is certainly frustating. Also, in order to get the code to work on a compiler (I used Microsoft VC++ version 6), you will need to "fill in the gaps" as most code examples (I tried 90% of the examples in the text on MVC++ compiler) are by no means complete but this was not difficult. You can download the code from the publisher's website and the code is actually not organized into different files (sorted by chapter and example) but it comes in a few files where examples from different chapters are mixed. You will have to search and find the part you need. I do agree usage of dummy functions creates confusion. This book has a rocky start with the life game example, which was not very easy to follow with the explanation provided. While I was frustated with the first two chapters, the rest of the chapters are presented well. To the reviewer who said that the code has bugs (which certainly isn't true), my guess that the gaps are not properly filled. I patiently tested most of the code on the computer (after filling in the gaps of course!) and find absolutely no problems with it. This however took lot of time since significant effort is needed from the student to fill the missing code to make it work. I have supplied working code to my fellow students who were facing difficulties in getting the code to run. In a couple of places in the text, the author surprised me with C syntax I did not know was legal (I consider myself intermediate programmer).
I suspect the reason why many readers have problems with this book is two-fold: 1.The code is not available in a format that can be tested on the compiler. Having read a lot of CS books which supply with readily usable code, this book gets annoying. I was wondering why the authors did not give downloadable working code for all examples in the text (which is a definite minus point) 2. The reader will have to go back and forth between the chapters as some functions developed in former chapters are used in later chapters. This does get irritating. I have read books that do this to a ridiculous level but this book stays with in tolerable bounds.
I will not rate this book as the best one on the subject out there but it is definitely good enough to learn data structures. I have used another book as a supplement: Data Structures & Algorithms in Java (Mitchell Waite Signature Series) (Hardcover) By Mitchell Waite, Robert Lafore ISBN: 1571690956. This book has lot of applets that show step by step how algorithms work. I am a visual learner and this helped tremendously. However, I felt that Waite Series book did not present the theory as thoroughly as Robert Kruse's text.
In summary, I consider this book as "decent". I was very much concerned when I first purchased this text because of so many bad reviews. As it turns out, those that can understand C and are willing to sit in front of the computer to make the code samples in this book work need not have any fear. As I said earlier, the theory is presented well, and all it needs is patience and diligence from the student to go through the code examples on a compiler. I believe that I now have a good understanding of the subject and I can move on books that deal with it at more depth. There are a plethora books on this topic out there and there may be better books than the ones mentioned in this review.Data Structures and Program Design In C (2nd Edition) Overview Progressing from the concrete to the abstract —and using numerous, substantial case studies and sample programs —this book explores structured problem solving, data abstraction,software engineering principles, and the comparative analysis ofalgorithms as fundamental tools of program design. Emphasizes principles of top-down refinement, programdesign, review, and testing. Uses the C programming languagethroughout. Offers Internet access to the source codefor all the programs and program extracts printed in the book.

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Algorithms, Data Structures, and Problem Solving With C++ Review

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Algorithms, Data Structures, and Problem Solving With C++ ReviewI just finished a semester at the University of Texas at Austin in which this book was the text book for an abstract data types class. The book is a good textbook, but not a good desk reference.
The book is obviously written with students in mind, using rhetorical questions, leaving vital areas unexplained as "exercises for the reader", etc. As an introductory text, in an introductory class, the book served its purpose, though the professor was required to explain some of the details that the book lacked. The code that is included in the book is all written in pseudo-code, most of it does not compile without some tweaking, and when a student is trying to grasp a diffucult concept in graph theory, the last thing that student wants is to have to trace through the program, line-by-line, to catch some error that is irrelevant to the larger problem, such as semicolons that have been left out, unmatched parenthesis, variable names that are not allowed by most of the commercial compilers.
The book does have a good learning curve, however, and makes for good reading when first approaching a new computer science concept; however, when having to program a particularly hard section of a certain data structure, wading through pages of diatribe against older methods is not what is needed at that time.
For instance, after spending a large portion of an entire chapter on AVL trees, Weiss proceeds to give example code (that doesn't compile on Borland 5.0, Visual C++, or GNU compilers without some tweaking), but leaves out a crucial method! When first learning about AVL trees, one of the lessons that was drilled into our heads was the diffuculty of AVL deletion... yet the book summed it up in *one* sentence: "As with most data structures, deletion is the hardest task; it is left as an exercise to the reader."
Argh.Algorithms, Data Structures, and Problem Solving With C++ OverviewExperienced author and teacher Mark Allen Weiss now brings his expertise to the CS2 course with Algorithms, Data Structures, and Problem Solving with C++, which introduces both data structures and algorithm design from the viewpoint of abstract thinking and problem solving. The author chooses C++ as the language of implementation, but the emphasis of the book itself remains on uniformly accepted CS2 topics such as pointers, data structures, algorithm analysis, and increasingly complex programming projects.Algorithms, Data Structures, and Problem Solving with C++ is the first CS2 textbook that clearly separates the interface and implementation of data structures. The interface and running time of data structures are presented first, and students have the opportunity to use the data structures in a host of practical examples before being introduced to the implementations. This unique approach enhances the ability of students to think abstractly.Features * Retains an emphasis on data structures and algorithm design while using C++ as the language of implementation. * Reinforces abstraction by discussing interface and implementations of data structures in different parts of the book.* Incorporates case studies such as expression evaluation, cross-reference generation, and shortest path calculations. * Provides a complete discussion of time complexity and Big-Oh notation early in the text. * Gives the instructor flexibility in choosing an appropriate balance between practice, theory, and level of C++ detail. Contains optional advanced material in Part V. * Covers classes, templates, and inheritance as fundamental concepts in sophisticated C++ programs. * Contains fully functional code that has been tested on g++2.6.2, Sun 3.0.1, and Borland 4.5 compilers. Code is integrated into the book and also available by ftp. * Includes end-of-chapter glossaries, summaries of common errors, and a variety of exercises. 0805316663B04062001

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Data Structures and Algorithms in Java (2nd Edition) Review

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Data Structures and Algorithms in Java (2nd Edition) ReviewThis is an excellent book on data structures and algorithms and would be a great addition to a student's text book. Fortunately Lafore does not dwell on the algorithm analysis as many data structures books do. This is a plus for me, as most texts on the subject get the reader bogged down in the analysis portion of the subject matter. Note: algorithm analysis is a very important subject I just don't believe it should be taught in parallel with data structures to the extent it is. Its easier for me and many others to first learn how to implement data structures and get a feel for their performance then move on to in-depth analysis.
In this book you'll learn the more important data structures without the heavy mathematics many algorithm and data structure books torture readers with. The book is written in very accessible language and the applets really help the inexperienced see the algorithms in action.
As I mentioned this book does not cover algorithm analysis in detail. A step up from this book would be one of Sedgewick's books which provides more detail on the analysis front and some really 'tight' implementations. A good book that focuses on Algorithm Analysis is Intro to Algorithms by Cormen. You better have your math skills up to snuff for the Cormen book however.Data Structures and Algorithms in Java (2nd Edition) OverviewData Structures and Algorithms in Java, Second Edition is designed to be easy to read and understand although the topic itself is complicated. Algorithms are the procedures that software programs use to manipulate data structures. Besides clear and simple example programs, the author includes a workshop as a small demonstration program executable on a Web browser. The programs demonstrate in graphical form what data structures look like and how they operate. In the second edition, the program is rewritten to improve operation and clarify the algorithms, the example programs are revised to work with the latest version of the Java JDK, and questions and exercises will be added at the end of each chapter making the book evenmore useful.Educational SupplementSuggested solutions to the programming projects found at the end of each chapter are made available to instructors at recognized educational institutions. This educational supplement can be found at www.prenhall.com, in the Instructor Resource Center.

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ADTs, Data Structures, and Problem Solving with C++ (2nd Edition) Review

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ADTs, Data Structures, and Problem Solving with C++ (2nd Edition) ReviewI am teaching the second programming / first data structure course in the department of electrical and computer engineering. I have used the first edition of this book several times, and as of fall of 2004 I am into the third of semester of using this second edition as a mandatory text.
This book is very good for students who already know how to program in C, C++ or Java. The first C or C++ course does not have to cover introduction to OOP though. My students learn C part of C++ in the first programming course. This book covers object oriented programming part of C++, and introduces/reintroduces pointers, file IO with streams, and C++ strings (good for former Java programmers). Then it follows into data structures. It starts with its own definitions of dynamic array that grows, and a simple linked list as basic data containers. Then it focuses on organizing access to data with stack and queue, and then migrates to the standard template library (STL). Everything is kept on the undergraduate student level. All other STL books I know assume that you are already an expert in programming or at lest for students after two programming courses, and are too difficult for average non-CS students.
I originally rated the first edition with four-stars only because it introduced pointers very late, out of the proper sequence and added the fifth star for the unique blend of introduction to OOP C++ and data structures, and STL. However, this edition is free from this inconvenience and it also makes C++ and data structures course accessible to former Java programmers. It gets true five stars from me this time.
ADTs, Data Structures, and Problem Solving with C++ (2nd Edition) Overview Reflecting the newest trends in computer science, new and revised material throughout the Second Edition of this book places increased emphasis on abstract data types (ADTs) and object-oriented design. This book continues to offer a thorough, well-organized, and up-to-date presentation of essential principles and practices in data structures using C++. Topics include C++'s I/O and string classes, pointers and dynamic allocation, lists, array-based and linked-list implementations of stacks, queues, searching, inheritance and more. For computer professionals in companies that have computing departments or those who want advanced training in C++.

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Data Structures with C++ Using STL (2nd Edition) Review

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Data Structures with C++ Using STL (2nd Edition) ReviewThe book itself is great and illustrates the core concepts well.
The code examples are grossly out of date (were talking 1990's) and completely ruins the beautiful text by adding confusing, poorly written code examples to reinforce good literature.
If you are buying this to learn data structures as a reference, great.
If you expect usable code examples this is not the book for you.
Highly Microsoft Visual Studio Centric. Not ANSI C++.
My note to the author's / publisher: You need to keep up with the times. This is technology and it moves quickly. Otherwise future-proof your code as much as possible.Data Structures with C++ Using STL (2nd Edition) Overview This book uses a modern object-oriented approach to data structures, unified around the notion of the Standard Template Library (STL) container classes. The book presents a systematic development of data structures supported by numerous examples and complete programs. The authors separate the applications of a data structure from its implementation. Includes an applied study of interesting and classical algorithms that illustrate the data structures using only simple mathematical concepts (Big-O notation is introduced intuitively); Many additional figures are integrated into the presentation; ADT (Abstract Data Type) for each data structure—immediately used to solve appropriate problems; Early and accessible introduction to templates and iterators; Use of modern C++ constructs in developing data structures and their applications provides enough language detail to sufficiently understand the constructs.

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Data Structures and Algorithms in C++ Review

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Data Structures and Algorithms in C++ ReviewThis is one of the dozens of Data Structures and Algorithms books in the market and till now the worst I've ever seen. I have taken two DSA courses in my undergrad years, and now as a grad, I'm TAing that course.
The theoretical treatment of the book is superficial and too childish. Yet, there's too little practical value. They discuss the unnecessary linked list implementations of trees which is quite confusing for students. I am also amazed that they do not mention finding or removing an element in a BST. And, more importantly there's too little discussion of graphs.
I don't understand those professors trying to bog down students with useless details and complicated C++ codes. Rather, they should give the intuition and the theory behind the data structures and algorithms. Weiss' book is much better than this one. But, even that is obsessed with doing tricky things with C++.
Anyway, to sum up: This book is a garbage. Stay away unless it's required for the course you're taking in case you may need to do homeworks and such.Data Structures and Algorithms in C++ Overview* Provides a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation* Each data structure is presented using ADTs and their respective implementations* Helps provide an understanding of the wide spectrum of skills ranging from sound algorithm and data structure design to efficient implementation and coding of these designs in C++Wiley Higher Education

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Data Structures Using C Review

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Data Structures Using C ReviewIf you are interested in trees (Binary Search,Generic & Multiway ) & Graphs this book could be a very good reference. Common Data Structures are also dealt with very nicely.Data Structures Using C OverviewUsing the increasingly popular C language, this book teaches datastructures from their theoretical conception through to their concreterealizations. It emphasizes structured design and programmingtechniques, and contains numerous debugged programming samples. For CS2course in advanced programming or data structures in C.

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Programs and Data Structures in C: Based on ANSI C and C++, 2nd Edition Review

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Programs and Data Structures in C: Based on ANSI C and C++, 2nd Edition ReviewAfter purchasing 2 other books on data structures, both of which were good for the experienced programmer but unclear for a student like me struggling to get through my data structures class, I finally found one that is perfect for explaining advanced data structures. The author breaks down multiway trees, heaps, linked lists, etc., in understandable terms. The sample code is complete and variables are intuitively named. Don't waste you money on other data structures books, espcially Data Structures & Program Design in C by Kruse. This is the textbook for my class and is universally hated among nearly everyone who has to use it. Ammeraal does a great a job with this book and is a must for the beginning CS student.Programs and Data Structures in C: Based on ANSI C and C++, 2nd Edition OverviewPrograms and Data Structures in C Based on ANSI C and C++ Second Edition Leendert Ammeraal Hogeschool Utrecht, The Netherlands Reviews of the first edition: ‘Because this book explains a lot of simple tricks and useful techniques to speed up common programming tasks it is a useful addition to conventional textbooks dealing with more theoretical aspects of programming.' Journal of New Generation Computer Systems ‘The book is especially suitable for advanced programmers who need searching and sorting methods. But it is also a help for the newcomer.' Journal of Information Processing & Cybernetics This book is designed to help you develop and reinforce your programming skills either for self-study or alongside a course text. All programs and exercises conform to the new ANSI C Standard, are accessible for those using either a C or C++ compiler, and are machine independent. The author shows how to use advanced programming techniques, including dynamic data structures, and the emphasis throughout is on how to achieve correctness and efficiency. There is a particular focus on the storage and retrieval of large amounts of data using data structures such as AVL trees and B-trees. Other useful algorithms discussed include those for the generation of permutations, dynamic programming, the criticalpath method, and the evaluation of arithmetic expressions. For the experienced programmer converting to C (or C++), or the beginning student, the wealth of programs, exercises and hints provided here will help increase your programming speed and efficiency.

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Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching, Third Edition Review

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Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching, Third Edition ReviewIf you're looking for an exhaustive, upto-date reference/textbook for
fundamental, searching and sorting algorithms, then this is one of
the very best available.
Sedgewick has split his popular book into two volumes, with Graph
algorithms being hifted to the second volume. Moreover, many advanced
topics like computational geometry, fft, number theoretic algorithms
etc, which were introduced in the previous edition, seem to be missing
now - so the breadth of coverage seems to have reduced, which is a pity.
However, the depth has increased instead - i doubt that even Knuth
covers more sorting algorithms ! In particular, there are several
recent algorithms and data structures which are treated in greater
detail here than by Knuth. Of course, Knuth analyses all the
algorithms he presents in rigorous and exhaustive detail, which
this book doesn't.
Moreover, the book has many new algorithms and presents the state of the
art in sorting and searching algorithms, giving it a distinct advantage
over the older books.
Sedgewick makes it very clear in the preface that the emphasis is on
the practical importance of the algorithms, so esoteric algorithms which
are important 'only in theory' may find no mention. Also the emphasis is
more on the design of algorithms than on their analysis.
The number of (exercise!!) problems has multiplied manifold in this edition
to become more than most competing textbooks. Problems are graded by
difficulty level to help you choose the ones relevant to your needs.
The exposition is clear and authoritative - Prof. Sedgewick is a leading
authority in the field of algorithms and a student of Donald Knuth.
He has a gift for making difficult concepts seem simple, and the great
illustrations in the book go a long way in explaining the behaviour of
the algorithms.
For the practising professional, this is an ideal reference, since it'll
help you select the best algorithm for your task without bogging you
down with heavy mathematics.
The reasearcher, on the other hand, may benefit by gaining unique insights
from a master of the area, while using other books for the detailed
analysis of algorithms, including prehaps Sedgewick's own book on the
analysis of algorithms(with Flajolet).
A caveat - the code may not be 'ready to run'. It's better not to rely
on this book to provide you with usable code - if that is what you want,
perhaps the books by Drozdek/Weiss/Heileman/Rowe might be better choices.
If you want C code rather than C++, then the C version of this book is
a good choice, since the code provided is of 'K & R' class and therefore
a delight to read.
Of course, if you're looking for a language independent coverage,
then 'Introduction to algorithms' by Cormen,Leiserson and Rivest is
possibly the best book which combines rigor with comprehensive coverage
of the most important algorithms. Look out for the newly released
second edition.
And if you want a more rigorous and equally exhaustive coverage of
sorting and searching, go for Knuth vol.3 - still the authoritative
reference, though it may require more hard work on the reader's part.
Otherwise, invest in this and you won't be disappointed.Algorithms in C++, Parts 1-4: Fundamentals, Data Structure, Sorting, Searching, Third Edition OverviewRobert Sedgewick has thoroughly rewritten and substantially expanded and updated his popular work to provide current and comprehensive coverage of important algorithms and data structures. Christopher Van Wyk and Sedgewick have developed new C++ implementations that both express the methods in a concise and direct manner, and also provide programmers with the practical means to test them on real applications.Many new algorithms are presented, and the explanations of each algorithm are much more detailed than in previous editions. A new text design and detailed, innovative figures, with accompanying commentary, greatly enhance the presentation. The third edition retains the successful blend of theory and practice that has made Sedgewick's work an invaluable resource for more than 250,000 programmers!This particular book, Parts 1n4, represents the essential first half of Sedgewick's complete work. It provides extensive coverage of fundamental data structures and algorithms for sorting, searching, and related applications. Although the substance of the book applies to programming in any language, the implementations by Van Wyk and Sedgewick also exploit the natural match between C++ classes and ADT implementations.Highlights Expanded coverage of arrays, linked lists, strings, trees, and other basic data structures Greater emphasis on abstract data types (ADTs), modular programming, object-oriented programming, and C++ classes than in previous editions Over 100 algorithms for sorting, selection, priority queue ADT implementations, and symbol table ADT (searching) implementations New implementations of binomial queues, multiway radix sorting, randomized BSTs, splay trees, skip lists, multiway tries, B trees, extendible hashing, and much more Increased quantitative information about the algorithms, giving you a basis for comparing them Over 1000 new exercises to help you learn the properties of algorithms Whether you are learning the algorithms for the first time or wish to have up-to-date reference material that incorporates new programming styles with classic and new algorithms, you will find a wealth of useful information in this book.

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Data Structures Using C++ Review

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Data Structures Using C++ ReviewI am pursuing a computer science degree through Baker College Online. For all of our "Hardcore" programming courses such as C++, Data Structures and Algorithms, and Java (although I wouldn't really count Java as "Hardcore"), we are using D.S. Malik's books. I must say that after using three of his textbooks, I find them all to be less than adequate at best.
This book is not a total loss. Sometimes the examples provided are a decent overview that clears up topics such as Linked Lists, Stacks, and Queues for newcomers. In fact if I were rating only the first half of the book (aside from the first two chapters, which are actually just rehashes from one of Malik's other books), I would probably give it four stars rather than three. It is in the second half of the book, when covering Binary Trees, AVL Height Balancing, Graphs, and STL Algorithms that Malik's coverage of Data Structures and Algorithms begins to slip into the realm of incoherence. Here, Malik spends too much time with diagrams and not enough with code. Also, when he does include source code, many times the amount of comments he includes are insufficient to really ascertain what he is trying to accomplish without spending extraneous time studying his code. Also, Malik tends to gloss over certain topics such as Kruskal's minimum spanning tree algorithm. Iterators are barely covered - Malik talks about how to use an Iterator, but never covers how one might construct one for their own data structures. The final chapter, which covers some of the STL Algorithms and the Set and Map data structures, is more of a joke than a real coverage of these items. Again, Malik covers how to use a Set or Map without really diving into their inner workings or how one might construct a similar data structure for their own use. I was also disappointed with Malik's coverage of Vectors. As with Sets and Maps, Malik covered how one might use a vector from the STL, but never how to construct one. To me that would seem like one of the most basic topics that any Data Structures and Algorithms text should cover. Finally, this book does not even cover or mention algorithms such as a Union Find or Union Join (which makes sense since he does not cover Kruskal's minimum spanning tree algorithm, which makes use of Union Find and Union Join, typically).Data Structures Using C++ OverviewNow in its second edition, D.S. Malik brings his proven approach to C++ programming to the CS2 course. Clearly written with the student in mind, this text focuses on Data Structures and includes advanced topics in C++ such as Linked Lists and the Standard Template Library (STL). The text features abundant visual diagrams, examples, and extended Programming Examples, all of which serve to illuminate difficult concepts. Complete programming code and clear display of syntax, explanation, and example are used throughout the text, and each chapter concludes with a robust exercise set.

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Purely Functional Data Structures Review

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Purely Functional Data Structures ReviewOkasaki's slim volume is one of the best expositions on implementing data structures & algorithms in a functional language. After taking an introductory course on functional programming, this would be the book which tells you where to go next.
This book doesn't just present a rehash/rewrite of imperative data structures, only written in a functional language. Instead, Okasaki makes sure to emphasize benefits which only functional programming can bring to the table. For example, many functional data structures can compactly represent not just their current state, but all of their past states as well--a feature called "Persistence". Also, functional newbie programmers might be wondering why lazy vs. strict programming is a big deal, and Okasaki shows clearly where data structures can benefit from either being lazy or being strict.
For the advanced reader, Okasaki also presents several powerful techniques for analyzing the runtime of algorithms, including the so-called "Banker's Method" and the "Physicist's Method" for analyzing amortized algorithms.
I hope that Okasaki comes out with a 2nd edition of this book; there is one missing piece in particular which I really wish he would have included: Although he presents an EXTREMELY lucid description of how to implement Red-Black trees in a functional language, he only presented algorithms for insertion and querying. Of course, deletion from a red-black tree is the hardest part, left here, I suppose, as an exercise to the student. If you want to supply this missing piece yourself, check out a paper by Stefan Kars, "Red-black trees with types", J. Functional Programming 11(4):425-432, July, 2001. It presents deletion routines, but you'll still want to read Okasaki's book first, for unless you're very much smarter than me you won't be able to understand Kars' paper until you read Okasaki's exposition of red black trees.
Finally, this book is not just useful for programmers in functional languages; logic programmers, using prolog or a varient, will also find this book very helpful, because most of the techniques (all of the techniques, really, with the exception perhaps of the lazy programming stuff) can be directly applied in a prolog programming setting as well.
After reading this book and implementing some of the data structures for yourself, you'll be amazed at how fast algorithms can run, even when written in a functional language!Purely Functional Data Structures OverviewMost books on data structures assume an imperative language such as C or C++.However, data structures for these languages do not always translate well to functional languages such as Standard ML, Haskell, or Scheme.This book describes data structures from the point of view of functional languages, with examples, and presents design techniques that allow programmers to develop their own functional data structures.The author includes both classical data structures, such as red-black trees and binomial queues, and a host of new data structures developed exclusively for functional languages.All source code is given in Standard ML and Haskell, and most of the programs are easily adaptable to other functional languages. This handy reference for professional programmers working with functional languages can also be used as a tutorial or for self-study.

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Data Structures and Algorithms Using C# Review

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Data Structures and Algorithms Using C# ReviewThis book had the potential to be great but missed it's mark. The number of coding and textual errors is just too great for a book of this type. In addition, the coverage of the 'primitive' array and ArrayList items is, I feel incomplete...they're used a whole lot but how they're actually implemented isn't even touched upon (yes, they're language features...but it'd be nice to get some sort of insight here!).
I had such high hopes for this book; one which was missing from the C# armoury and essential to those of us who don't have a conventional Comp Sci background. This book just doesn't cut it...a second edition with better coverage and VASTLY better editing is needed.
Reading more, wish I could change my rating to 1 star (Amazon doesn't seem to allow this...). This is just an insulting book for the price...the number of errors and inaccuracies is remarkable...don't buy this!Data Structures and Algorithms Using C# OverviewC# programmers: no more translating data structures from C++ or Java to use in your programs!Mike McMillan provides a tutorial on how to use data structures and algorithms plus the first comprehensive reference for C# implementation of data structures and algorithms found in the .NET Framework library, as well as those developed by the programmer. The approach is very practical, using timing tests rather than Big O notation to analyze the efficiency of an approach.Coverage includes arrays and array lists, linked lists, hash tables, dictionaries, trees, graphs, and sorting and searching algorithms, as well as more advanced algorithms such as probabilistic algorithms and dynamic programming. This is the perfect resource for C# professionals and students alike.

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Data Structures Demystified (Demystified) Review

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Data Structures Demystified (Demystified) ReviewTarget Audience
Developers who want or need a practical course on data structures in computer programming.
Contents
This is a practical guide on data structures and how they are used in a programming environment.
The book is divided into the following chapters: Memory, Abstract Data Types, and Addresses; The Point About Variables and Pointers; What Is an Array?; Stacks Using an Array; Queues Using an Array; What Is a Linked List?; Stacks Using Linked Lists; Queues Using Linked Lists; Stacks and Queues: Insert, Delete, Peek, Find; What Is a Tree?; What Is a Hashtable?; Final Exam; Answers to Quizzes and Final Exam; Index
Review
If you went the traditional college route to make it into programming, you no doubt had a course or two on data structures. But if you're like me and more into the self-taught method, data structures are one of those things you hear about but never probably take the time to understand. You may use them, but you don't really understand the theory behind what they are and when they should be used. For you (and me), Data Structures Demystified helps get you up to speed in a practical, straightforward manner.
Each chapter follows a standard format. The subject (such as linked lists) is likened to some real world situation. The structure is then explained and illustrated in generic terms using C++ or Java code. The methods necessary to manipulate the data structure are explained, followed by an implementation in both C++ and Java code. Finally, there's a short quiz at the end to test your understanding of the concepts just discussed.
As a Java programmer, I found this book helpful in conceptually fleshing out some of the array constructs that you can use in the language. While many reference books might tell you that you have a HashMap class along with certain properties and methods, not too many books actually go into any depth about what a hashmap is and how it should be used. Having an understanding of these "whys" can make all the difference when you're trying to decide how best to structure your program.
And if you're tending to shy away from this title thinking it would be too simplistic, don't. This is not an entertainment book that treats you like a newbie. You'll have to think about what you're reading, and it will take some effort to understand the details. But it's all presented clearly, so at least you have a chance if you're not Einstein to begin with.
Conclusion
This book is very good for C++ and Java programmers who have not taken formal courses in data structures, and need a better understanding of the subject.Data Structures Demystified (Demystified) OverviewWhether you are an entry-level or seasoned designer or programmer, learn all about data structures in this easy-to-understand, self-teaching guide that can be directly applied to any programming language. From memory and addresses to hashtables, authors Keogh and Davidson, provide clear explanations that demystify this "algebra of programming."

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Practical Programming: An Introduction to Computer Science Using Python (Pragmatic Programmers) Review

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Practical Programming: An Introduction to Computer Science Using Python (Pragmatic Programmers) ReviewI had not programmed for 30 years and wanted to do a bit for a small project. After trying several Python books I found this one. I suspect that no one programming book will appeal to all, but this one was a great book to get me started again. Well-written. Good examples. Clear explanations.Practical Programming: An Introduction to Computer Science Using Python (Pragmatic Programmers) Overview
Computers are used in every part of science from ecology to particle physics.This introduction to computer science continually reinforces those ties by using real-world science problems as examples.Anyone who has taken a high school science class will be able to follow along as the book introduces the basics of programming, then goes on to show readers how to work with databases, download data from the web automatically, build graphical interfaces, and most importantly, how to think like a professional programmer. Topics covered include: Basic elements of programming from arithmetic to loops and if statements. Using functions and modules to organize programs. Using lists, sets, and dictionaries to organize data. Designing algorithms systematically. Debugging things when they go wrong. Creating and querying databases. Building graphical interfaces to make programs easier to use. Object-oriented programming and programming patterns.


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