Author: Hua Harry Li, Madan M. Gupta
Paperback: 464 Pages
Publisher: Springer
ISBN: 0792395751
File Format: PDF
File Size: 15 MB
Book Description:
One of the attractions of fuzzy logic is its utility in solving many real engineering problems. As many have realised, the major obstacles in building a real intelligent machine involve dealing with random disturbances, processing large amounts of imprecise data, interacting with a dynamically changing environment, and coping with uncertainty. Neural-fuzzy techniques help one to solve many of these problems. Fuzzy Logic and Intelligent Systems reflects the most recent developments in neural networks and fuzzy logic, and their application in intelligent systems. In addition, the balance between theoretical work and applications makes the book suitable for both researchers and engineers, as well as for graduate students.
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# Authors : Rafael C. Gonzalez, Richard E. Woods
# Hardcover: 793 pages
# Publisher: Prentice Hall; 2nd edition (January 15, 2002)
# Language : English
# ISBN-10 : 0201180758
# ISBN-13 : 978-0201180756
Book Description:
Digital Image Processing has been the leading textbook in its field for more than 20 years. As was the case with the 1977 and 1987 editions by Gonzalez and Wintz, and the 1992 edition by Gonzalez and Woods, the present edition was prepared with students and instructors in mind. The material is timely, highly readable, and illustrated with numerous examples of practical significance. All mainstream areas of image processing are covered, including a totally revised introduction and discussion of image fundamentals, image enhancement in the spatial and frequency domains, restoration, color image processing, wavelets, image compression, morphology, segmentation, and image description. Coverage concludes with a discussion of the fundamentals of object recognition.
Although the book is completely self-contained, a Companion Web Site (see inside front cover) provides additional support in the form of review material, answers to selected problems, laboratory project suggestions, and a score of other features. A supplementary instructor's manual is available to instructors who have adopted the book for classroom use.
New Features
* New chapters on wavelets, image morphology, and color image processing.
* More than 500 new images and over 200 new line drawings and tables.
* A revision and update of all chapters, including topics such as segmentation by watersheds.
* Numerous new examples with processed images of higher resolution.
* A reorganization that allows the reader to get to the material on actual image processing much sooner than before.
* Updated image compression standards and a new section on compressionusing wavelets.
* A more intuitive development of traditional topics such as image transforms and image restoration.
* Updated bibliography.
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* Author(s): Lee Ambrosius
* Paperback: 792 pages
* Publisher: For Dummies; 2nd edition (May 12, 2008)
* Language: English
* ISBN-10: 0470243783
* ISBN-13: 978-0470243787
Product Description
Nobody ever said AutoCAD was easy, which is why you need AutoCAD & AutoCAD LT 2009 All-In-One Desk Reference for Dummies! These nine minibooks cover all the stuff you need to know to set up AutoCAD for 2D or 3D, create drawings, modify and share them, publish your work, and more. There’s even a minibook devoted to increasing your options with AutoCAD LT!
This one-stop guide to creating great technical drawings using AutoCAD 2009 shows you how to navigate the AutoCAD interface, set up drawings, use basic and precision tools, and use drawing objects. You’ll learn how to annotate your drawings, use dimensioning and hatching, and work with AutoCAD’s new Annotation Scaling feature. You’ll also find out how to work with solids, texture surfaces, add lighting, and much more. Discover how to
* Navigate the AutoCAD interface
* Work with lines, shapes, and curves
* Add explanatory text
* Understand AutoCAD LT’s limitations
* Render your drawings
* Create and manage blocks
* Use AutoCAD advanced drafting techniques
* Comply with CAD management and standards
* Share your work with others
* Customize the AutoCAD interface, tools, and more
Complete with Web links to advanced information on navigating the AutoCAD programming interfaces, using custom programs, getting started with AutoLISP, and working with Visual Basic for AutoCAD, AutoCAD & AutoCAD LT 2009 All-In-One Desk Reference for Dummies is the only comprehensive AutoCAD guide you’ll ever need.
From the Back Cover
9 books in 1 — your key to success with AutoCAD!
Your one-stop guide to creating great technical drawings using AutoCAD 2009
Nobody ever said AutoCAD was easy, which is why you need a book that is! These nine minibooks cover all the stuff you need to know to set up AutoCAD for 2D or 3D, create drawings, modify and share them, publish your work, and more. There's even a minibook devoted to AutoCAD LT, to increase your options!
Discover how to:
Navigate the AutoCAD interface
Work with lines, shapes, and curves
Add explanatory text to your drawings
Understand the differences between AutoCAD and AutoCAD LT
Render your drawings
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* Paperback: 1296 pages
* Publisher: Wiley; Pap/Cdr edition (October 15, 2001)
* Language: English
* ISBN-10: 0764536117
* ISBN-13: 978-0764536113
Book Description
The AutoCAD 2002 Bible will show you how to master the complexities of the world's most popular technical drawing program. This book covers everything you will ever need to know about AutoCAD, from fundamental commands to AutoLISP programming. You will also learn new techniques for creating high-quality 2D drawings, discover enhanced capabilities for 3D rendering, modeling, and shading. And you can customize AutoCAD to fit the way they work.
The AutoCAD 2002 Bible covers product enhancements first introduced with the AutoCAD 2000i interim software, including internet-driven design capabilities. Find out how you can now publish to the Web and collaborate with designers and customers on line. Also included is a loaded CD-ROM with more than 160 source and final drawings used in the examples and tutorials used throughout the book. In addition, you get more than 40 shareware and freeware programs, extensive parts and symbols libraries, and a complete third-party software reference guide.
Book Info
Shows you how to master the complexities of the world's most popular technical drawing program. Covers everything you will ever need to know about AutoCAD, from fundamental commands to AutoLISP programming.
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Author(s): Elisabeth Freeman, Eric Freeman, Bert Bates, Kathy Sierra
Publisher: O'Reilly Media, Inc.; 1 edition
Date : 2004
Pages : 676
Format : PDF
OCR : No
Quality :
Language : English
ISBN : 0596007124
Book Description
At any given moment, somewhere in the world someone struggles with the same software design problems you have. You know you don't want to reinvent the wheel (or worse, a flat tire), so you look to Design Patterns--the lessons learned by those who've faced the same problems. With Design Patterns, you get to take advantage of the best practices and experience of others, so that you can spend your time on...something else. Something more challenging. Something more complex. Something more fun.
You want to learn about the patterns that matter--why to use them, when to use them, how to use them (and when NOT to use them). But you don't just want to see how patterns look in a book, you want to know how they look "in the wild". In their native environment. In other words, in real world applications. You also want to learn how patterns are used in the Java API, and how to exploit Java's built-in pattern support in your own code.
You want to learn the real OO design principles and why everything your boss told you about inheritance might be wrong (and what to do instead). You want to learn how those principles will help the next time you're up a creek without a design pattern.
Most importantly, you want to learn the "secret language" of Design Patterns so that you can hold your own with your co-worker (and impress cocktail party guests) when he casually mentions his stunningly clever use of Command, Facade, Proxy, and Factory in between sips of a martini. You'll easily counter with your deep understanding of why Singleton isn't as simple as it sounds, how the Factory is so often misunderstood, or on the real relationship between Decorator, Facade and Adapter.
With Head First Design Patterns, you'll avoid the embarrassment of thinking Decorator is something from the "Trading Spaces" show. Best of all, in a way that won't put you to sleep! We think your time is too important (and too short) to spend it struggling with academic texts.
If you've read a Head First book, you know what to expect--a visually rich format designed for the way your brain works. Using the latest research in neurobiology, cognitive science, and learning theory, Head First Design Patterns will load patterns into your brain in a way that sticks. In a way that lets you put them to work immediately. In a way that makes you better at solving software design problems, and better at speaking the language of patterns with others on your team.
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Password:www.freebookspot.com
* Paperback: 357 pages
* Publisher: Franklin Beedle & Associates (September 2005)
* Language: English
* ISBN-10: 1590280539
* ISBN-13: 978-1590280539
Book Description
Using the Java programming language, author Adam Drozdek highlights three important aspects of data structures and algorithms. First, the book places special emphasis on the connection between data structures and their algorithms, including an analysis of the algorithms' complexity. Second, the book presents data structures in the context of object-oriented program design, stressing the principle of information hiding in its treatment of encapsulation and decomposition. Finally, the book closely examines data structure implementation. Overall, this practical and theoretical book prepares students with a solid foundation in data structures for future courses and work in design implementation, testing, or maintenance of virtually any software system.
About the Author
Adam Drozdek, a graduate of Wright State University, is an Associate Professor of Computer Science at Duquesne University. He is the author of several texts, including The Elements of Data Compression.
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* Paperback: 701 pages
* Publisher: O'Reilly Media, Inc.; 1st ed edition (August 18, 1999)
* Language: English
* ISBN-10: 1565923987
* ISBN-13: 978-1565923980
Written for readers with at least some Perl programming experience, Mastering Algorithms in Perl delivers a solid library of algorithms written in Perl for business and mathematical computing. From data structures to cryptography and more advanced mathematical algorithms, this book provides a worthwhile guide to extending Perl's coding capabilities.
The best thing about Mastering Algorithms in Perl is the scope at which it covers the universe of algorithms while refraining from getting bogged down in academic detail. Besides basic data structures--a lynchpin of books on algorithms--the authors provide dozens and dozens of algorithms for sorting, searching, and doing mathematical computations of all kinds. While they discuss "Big-O" notation and assume a general familiarity with math, they don't overwhelm the reader. (You can even borrow the code without needing a math degree to understand it.) The focus is on efficient, reusable Perl subroutines written and compiled by three Perl experts.
Standout chapters include extending Perl's already powerful string processing abilities, game programming, and cryptography. Generally, the authors achieve a good mix of more advanced (and less well-known) algorithms, along with the basics. Chances are you won't need to use all the dozen or so sorting algorithms presented here, but the authors include them all, just in case. As a reference and tutorial, readers can pick and choose what they need for real-world Perl development.
There hasn't been a book dedicated exclusively to Perl algorithms prior to the publication of this one. In all, Mastering Algorithms in Perl fills a useful niche by compiling a powerful library of Perl algorithms that will be useful for anyone who works with this programming language, whether in business or academic computing. --Richard Dragan
Topics covered: Perl data types, Big-O notation, data structures, queues, deques, linked lists, binary trees, sorting and searching algorithms, game and dynamic programming, sets and multisets, matrices and graphs, string matching and parsing, 2-D geometry, number systems, cryptography (including DES and RSA), probability, statistics, and numerical analysis.
From Library Journal
Perl is very similar to C in syntax, and while Perl doesn't have the speed of complied C, it has been getting much faster. It also is one of the most portable languages, available for most hardware with no changes in code. It is free, which makes it very attractive to developers. This guide covers everything from data structures, sorting and searching, to sets and matrices, to cryptography, probability, and statistics. Readers must already know Perl, so this is recommended for advanced programming collections.
Copyright 1999 Reed Business Information, Inc.
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* Hardcover: 820 pages
* Publisher: Addison-Wesley (June 1996)
* Language: English
* ISBN-10: 0805316663
* ISBN-13: 978-0805316667
From the Inside Flap
This book was designed for a second course in computer science, which has typically been known as CS-2 Data Structures. The content of CS-2 has been evolving over some time, but there is general agreement that topics such as structures, pointers, and data structures should be taught, along with an introduction to algorithm analysis and a general scaling up of the complexity of programming projects.
Although the general topics of CS-2 are to some extent uniformly accepted, the language of expression has clearly not been and indeed invokes quite spirited debate among computer science educators. We use C++ in this text. C++ has a host of both benefits and disadvantages but is clearly gaining support as a prefered language in industry and academic circles.
My goal in writing this text is to provide a practical introduction to data structures and algorithms, from the viewpoint of abstract thinking and problem solving, as well as to the use of C++. I try to cover all important details concerning the data structures, the analyses, and their C++ implementations, and have stayed away from data structures that are theoretically interesting but not widely used. I have designed the textbook to allow flexibility in topic coverage for the instructor. It is impossible to cover all the C++ details, all the different data structures, and all the mathematics described in the text in a single course. The instructor will need to decide on an appropriate balance between practice, theory, and level of C++ detail.
Approach The most unique aspect of the text is the clear separation of the interface and implementation. In C++ the class mechanism allows the programmer to write the interface and implementation separately, to place them in separate files and compile separately, and to hide implementation details. In this textbook we take this a step further: The interface and implementation are discussed in separate parts of the book. Parts I, II, and III lay the groundwork, discussing basic concepts and tools and providing some practical examples, but implementation of the basic data structures are not shown until Part IV. This is the first CS-2 textbook to take this approach.
The separation of interface and implementation provides several benefits. Generally, it promotes abstract thinking: Class interfaces are written and used before the implementation is known, and it forces the reader to think about the functionality and potential efficiency of the various data structures. For example, programs that use a hash table are written hundreds of pages before the hash table is implemented. The proposed standard template library (STL) for C++ (which is likely to be mimicked in Ada and other languages) provides classes for stacks, queues, and almost all the fundamental data structures. We believe it will hasten the shift in emphasis of data structures courses from implemention to use.
Prerequisites The prerequisite is a working knowledge of small C or a C-like subset of C++, including basic data types, operators, control structures, functions, and input and output. Appendix A contains a review of this material. Students that have had a first course using C++ should be able to start at Chapter 1. Students that have had a first course using C should scan Appendix A to see the differences between C and C++. Students whose first course was neither C nor C++ will need to read Appendix A carefully. In any event, this textbook is not about C++; it is about data structures and algorithm design, which is the proper focus of a CS-2 course. Readers who are not fluent C++ programmers should have a C++ reference book available; some recommendations are listed in Chapter 1.
Discrete math is not a prerequisite. Mathematical proofs are relatively rare (except towards the end of the text), and when done they are usually preceded by a brief math review. However, establishing some of our claims requires proof; Chapters 7 and 18 through 23 require some degree of mathematical sophistication. The instructor may elect to skip mathematical aspects of the proofs by presenting only the results. All proofs in the text are clearly marked and are separate from the body of the text.
C++ Using C++ presents both advantages and disadvantages. The C++ class allows the separation of interface and implementation, as well as the hiding of internal details of the implementation. It cleanly supports the notion of abstraction. However, other languages support this also, notably Turbo Pascal and Ada. The advantage of C++ is that it is widely used in industry. Students perceive that the material they are learning is practical and will help them find employment, which provides motivation to persevere through the course. The disadvantage of C++ is that it is far from a perfect language pedagogically, especially in a second course, and thus additional care needs to be expended to avoid bad programming practices. A second disadvantage is that C++ is still not a stable language, so the various compilers behave differently.
It might have been preferable to write the book in a language-independent fashion, concentrating only on general principles such as the theory of the data structures and referring to C++ code only in passing, but that is impossible. C++ code is complex, and readers will need to see complete examples to understand some of the finer points. As mentioned earlier, a brief review of the simpler parts of C++ is provided in Appendix A. Part I of the book describes some of C++'s more advanced features relevant to data structures.
Three parts of the language stand out as requiring special pedagogical consideration: templates, inheritance, and exceptions. The approach to this material is as follows:
Templates: Templates are used extensively. Some readers may have reservations with this approach because it complicates the code, but I have included them because they are fundamental concepts in any sophisticated C++ program.
Inheritance: Inheritance is used relatively sparingly because it adds complications, and data structures are not a strong application area for it. The main instance in which it is used is to derive implementations of data structures from abstract specifications.
Exceptions: At the time of this writing, development of exceptions is several years behind that of templates. They are not universally implemented, and the exact semantics have yet to be standardized. Eventually they will be standardized, they will work, and they will be widely used. In recognition of this, my preference would have been to include them, but except for the handling of memory exhaustion, this is not possible right now. Consequently, exceptions are not otherwise used in the code. However, throughout the text we use the function EXCEPTION, described in Appendix D, to signal points at which an exception could be used. Appendix D also describes how to incorporate exceptions into the code should they be available on your compiler.
Text Organization This text introduces C++ and object-oriented programming (particularly abstraction) in Part I. We discuss pointers, arrays, and some other C++ topics and then go on to discuss the syntax and use of classes, templates, and inheritance.
Part II discusses Big-Oh and algorithmic paradigms, including recursion and randomization. Sorting is covered in a full chapter, and basic data structures are described in another chapter. The interfaces and running times of the data structures are presented without giving the implementations. The instructor then may take several approaches to present the remaining material. Two of these are:
Use the corresponding implementations in Part IV as each data structure is described. The instructor can ask students to extend the classes in various ways, as suggested in the exercises.
Show how the interface is used and cover implementation at a later point in the course. The case studies in Part III can be used to support this approach. Since complete implementations will be available on the internet, the instructor can provide a library of classes for use in programming projects. Details on using this approach are given below.
Part V describes advanced data structures such as splay trees, pairing heaps, and the disjoint set data structure that can be covered if time permits.
Chapter-by-Chapter Text Organization Part I consists of four chapters describing some advanced features of C++ that are used throughout the text. Chapter 1 describes pointers, arrays, and structures and also contains a short study that describes how a profiling tool is used to measure the running time of a program. Chapter 2 begins the discussion of object-oriented programming by describing the class mechanism in C++. Chapter 3 continues this discussion by examining templates, and Chapter 4 illustrates the use of inheritance. Several components, including strings and vectors, are written in these chapters.
Part II is about the basic algorithms and building blocks. In Chapter 5 a complete discussion of time complexity and Big-Oh notation is provided. Binary search is discussed and analyzed here. Chapter 6 is a crucial chapter that discusses the interface to the data structures and argues intuitively what the running time of the supported operations should be for each data structure. However, implementation of these data structures is not provided until Part IV. Chapter 7 describes recursion by first introducing the notion of proof by induction. This chapter also discusses divide-and-conquer, dynamic programming, and backtracking. One section describes several recursive numerical algorithms that are used to implement the RSA cryptosystem. Chapter 8 describes, codes, and analyzes several basic sorting algorithms, including the insertion sort, Shellsort, mergesort, and quicksort, as well as indirect sorting. It also proves the classic lower bound for sorting and discusses the related problems of selection. Finally, Chapter 9 is a short chapter that discusses random numbers, including their generation and use in randomized algorithms.
Part III provides several case studies, and each chapter is organized along a general theme. Chapter 10 illustrates several important techniques by examining games. Chapter 11 discusses the use of stacks in computer languages by examining an algorithm to check for balanced symbols and the classic operator precedence parsing algorithm. Complete implementations with code are provided for both algorithms. Chapter 12 discusses the basic utilities of file compression and cross-reference generation, and a complete implementation of the cross-reference generator is provided. Chapter 13 broadly examines simulation by looking at one problem that can be viewed as a simulation and then the more classic event-driven simulation. Finally, Chapter 14 illustrates how data structures are used to implement several shortest path algorithms efficiently for graphs.
The data structure implementations that correspond to the interfaces in Chapter 6 are presented in Part IV. Some mathematics is used in this part, especially in Chapters 18 to 20, and can be skipped at the discretion of the instructor. Chapter 15 provides implementations for both stacks and queues. First these data structures are implemented using a dynamic array; then they are implemented using linked lists. In Chapter 16 general linked lists are described. Extensions such as doubly linked lists, circular linked lists, and cursor implementations are left as exercises. Chapter 17 describes trees and illustrates the basic traversal schemes. Chapter 18 is a detailed chapter that provides several implementations of binary search trees. Initially, the basic binary search tree is shown, and then a binary search tree that supports order statistics is derived. AVL trees are discussed but not implemented; however, the more practical red black trees and AA-trees are implemented. Finally, the B-tree is examined. Chapter 19 discusses hash tables, and the quadratic probing scheme is implementated after examination of a simpler alternative. In Chapter 20 we describe the binary heap and examine heapsort and external sorting.
Part V contains material that is suitable for use in a more advanced course or for general reference. The algorithms are accessible even at the first-year level; however, for completeness we have included sophisticated mathematical analyses that are almost certainly beyond the reach of a first-year student. Chapter 21 describes the splay tree, which is a binary search tree that seems to perform extremely well in practice and is also competitive with the binary heap in some applications that require priority queues. Chapter 22 describes priority queues that support merging operations and provides an implementation of the pairing heap. Finally, Chapter 23 examines the classic disjoint set data structure.
Course Organization Ignoring factors such as the balance between theory and practice, the crucial issue in teaching the course is deciding how the materials in Parts II to IV are to be used. The material in Part I should be covered in depth, and the student should write one or two programs that illustrate the design, implementation, and testing of classes and template classes, and depending on how much C++ is desired to be taught, inheritance. Next, Chapter 5 discusses Big-Oh, and an exercise in which the student writes a short program and compares the running time with an analysis can be given to test comprehension.
In the separation approach, the key concept of Chapter 6 is simply the fact that different data structures support different access schemes with different efficiency. Students can be asked first to write an inefficient data structure. Any case study (except the tic-tac-toe example that uses recursion) can be used to test their programs, and the students can compare their inefficient data structures with an efficient library routine (provided by anonymous ftp, as discussed below). In this scheme all the case studies (except tic-tac-toe) can be examined to see how each of the particular data structures is used. In this way we see the interface for each data structure, and we see how it is used, but we do not see how it is efficiently implemented. This is truly a separation, and viewing things this way will greatly enhance the ability of students to think abstractly. Students can be asked to extend the case study but, once again, do not have to know any of the details of the data structures.
The implementation of the data structures can be discussed afterward, and recursion can be introduced whenever the instructor feels it is appropriate (but prior to binary search trees). The details of sorting can be discussed at any point after recursion. At this point the course can continue by using the same case studies and experimenting with modifications to the implementations of the data structures. For instance, the student can experiment with various forms of balanced binary search trees.
Instructors opting for a more traditional approach can simply discuss a case study in Part III after discussing a data structure implementation in Part IV. The book chapters are meant to be as independent of each other as possible.
Exercises Exercises come in various flavors. The basic In Short exercise asks a simple question or requires hand-drawn simulations of an algorithm described in the text. The In Theory section asks questions that either require mathematical analysis or perhaps ask for theoretically interesting solutions to problems. The In Practice section contains simple programming questions, including questions about syntax or particularly tricky lines of code. The Programming Projects section contains ideas for extended assignments.
Pedagogical Features The code in the text is fully functional and has been tested on the following compilers: g++ 2.6.2, Sun 3.0.1, and Borland 4.5. The code is available by anonymous ftp, as discussed below. This code will be updated as the language evolves, and a version that uses exceptions is provided. Margin notes are used to highlight important topics. At the end of each chapter, a list of common errors is provided in the Common Errors section. The Objects of the Game section lists important terms along with definitions and page references. References for further reading are provided at the end of most chapters.
Supplements
Code Availability: The exact location of this material may change. The example program code in the book is available via anonymous ftp at ftp.aw.com.
Instructor's Resource Guide: A guide that illustrates several approaches to the material is available to instructors on a disk. These approaches vary from a strong focus on theory to an emphasis on C++, to a more balanced approach. Each approach is outlined with sample test questions, sample assignments, and sample syllabi. Answers to select exercises are also provided. For more information on this disk, please contactyour sales rep.
Acknowledgements
Many, many people have helped me in the preparation of this book. First, I would like to thank all the folks at Addison-Wesley. My editor Carter Shanklin helped me refine my thinking and his assistant Christine Kulke kept everything flowing smoothly. Craig Johnson, Production Technology Supervisor, was especially helpful with my Frame questions. I would especially like to thank the people involved in the production of the text: Barbara Conway did a wonderful job of copyediting the manuscript and suggesting improvements throughout; Teri Holden was a fantastic production editor; Holly McLean-Aldis did a great job proofreading; and Lisa Jahred wrote the templates for the book design.
Some of the material in this text is adapted from my textbook Efficient C Programming: A Practical Approach (Prentice-Hall, 1995) and is used with per-mission of the publisher. I have attempted to place end-of-chapter references where appropriate.
I would like to thank the reviewers, who provided valuable comments, many of which have been incoprorated into the text:
Owen Astrachan Duke University Joe Faletti University of California, San Diego K. M. George Oklahoma State University Jim Heliotis Rochester Institute of Technology Jim Levenick Willamette University George Novacky University of Pittsburgh John Russo Indiana University Laurie White Armstrong State College of Georgia Edward Wright Western Oregon State University Alan Zaring Ohio Weslyan University
As usual, I had help from my friends at FIU. Thanks to Diane Kelly for handling all my other work and leaving me with enough time to work on the text. I would also like to thank Catherine Hernandez, Steve Luis, and Cory Tsang for their help installing Frame and keeping the printers up and running.
Most of all, I thank Becky, whom I love more than she can imagine, for her support during my book writing, especially in the last year.
From the Back Cover
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.
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* Paperback: 427 pages
* Publisher: Springer; 1 edition (December 12, 1997)
* Language: English
* ISBN-10: 0387982809
* ISBN-13: 978-0387982809
Book Description
Data compression is one of the most important techniques in computing engineering. From archiving data to CD-ROMs and from coding theory to image analysis, many facets of computing make use of data compression in one form or another. This book is intended to provide an overview of the many different types of compression: it includes a taxonomy, an analysis of the most common systems of compression, discussion of their relative benefits and disadvantages, and their most common usages. Readers are presupposed to have a basic understanding of computer science: essentially the storage of data in bytes and bits and computing terminology, but otherwise this book is self-contained. The book divides naturally into four main parts based on the main branches of data compression: run length encoding, statistical methods, dictionary-based methods, and lossy image compression (where in contrast to the other techniques, information in the data may be lossed but an acceptable standard of image quality retained). Detailed descriptions of many of the most well-known compression techniques are covered including: Zip, BinHex, Huffman coding, GIF and many others.
Book Info
Reference provides a comprehensive, authoritative, and accessible reference for the many different types and methods of compression. Includes a detailed taxonomy, a description of the most common methods, and discussions on the use and comparitive benefits of different methods. Previous edition: c2000. DLC: Data compression (Computer science). --This text refers to the edition.
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* Paperback: 523 pages
* Publisher: Sams (May 1999)
* Language: English
* ISBN-10: 0672316331
* ISBN-13: 978-0672316333
Book Description
Sams Teach Yourself Data Structures and Algorithms in 24 Hours presents data structures and algorithms in an easy-to-read, easy-to-understand style, allowing you to grasp the concepts quickly and apply the knowledge to your programs. The very popular C++ programming language is used for examples and code samples.
From the Back Cover
Sams Teach Yourself Data Structures and Algorithms in 24 Hours presents data structures and algorithms in an easy-to-read, easy-to-understand style, allowing you to grasp the concepts quickly and apply the knowledge to your programs. The very popular C++ programming language is used for examples and code samples.
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Author: Mariano Giaquinta, Giuseppe Modica
Paperback: 470 pages
Publisher: Birkhäuser Boston
ISBN: 0817643753
File Format: PDF
File Size: 17.1 MB
Description: Mathematical Analysis: Linear and Metric Structures and Continuity motivates the study of linear and metric structures with examples, observations, exercises, and illustrations. It may be used in the classroom setting or for self-study by advanced undergraduate and graduate students and as a valuable reference for researchers in mathematics, physics, and engineering. This self-contained work on linear and metric structures focuses on studying continuity and its applications to finite- and infinite-dimensional spaces. The book is divided into three parts. The first part introduces the basic ideas of linear and metric spaces, including the Jordan canonical form of matrices and the spectral theorem for self-adjoint and normal operators. The second part examines the role of general topology in the context of metric spaces and includes the notions of homotopy and degree. The third and final part is a discussion on Banach spaces of continuous functions, Hilbert spaces and the spectral theory of compact operators.
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Author: Radomir S. Stankovic, Claudio Moraga, Jaakko Astola
Paperback: 264 pages
Publisher: Wiley-IEEE Press
ISBN-10: 0471694630
File Format: PDF
File Size: 12.3 MB
Description: Fourier Analysis on Finite Groups with Applications in Signal Processing and System Design examines aspects of Fourier analysis on finite non-Abelian groups and discusses different methods used to determine compact representations for discrete functions providing for their efficient realizations and related applications. Switching functions are included as an example of discrete functions in engineering practice. Additionally, consideration is given to the polynomial expressions and decision diagrams defined in terms of Fourier transform on finite non-Abelian groups.
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Publisher CRC Press
Author(s) Wai-Kai Chen
ISBN 084934199X
Release Date 26 December 2006
Written by a stellar international panel of expert contributors, this handbook remains the most up-to-date, reliable, and comprehensive source for real answers to practical problems. In addition to updated information in most chapters, this edition features several heavily revised and completely rewritten chapters, new chapters on such topics as CMOS fabrication and high-speed circuit design, heavily revised sections on testing of digital systems and design languages, and two entirely new sections on low-power electronics and VLSI signal processing. An updated compendium of references and other resources-such as software, databases, standards, and seminars-points toward more in-depth information.
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Adaptive and Natural Computing Algorithms: Proceedings of the International Conference in Coimbra, Portugal, 2005
Publisher Springer-Verlag
Author(s) Nigel C. Steele
ISBN 3211249346
Release Date 03 May 2005
The papers in this volume present theoretical insights and report practical applications both for neural networks, genetic algorithms and evolutionary computation. In the field of natural computing, swarm optimization, bioinformatics and computational biology contributions are no less compelling. A wide selection of contributions report applications of neural networks to process engineering, robotics and control. Contributions also abound in the field of evolutionary computation particularly in combinatorial and optimization problems. Many papers are dedicated to machine learning and heuristics, hybrid intelligent systems and soft computing applications. Some papers are devoted to quantum computation. In addition, kernel based algorithms, able to solve tasks other than classification, represent a revolution in pattern recognition bridging existing gaps. Further topics are intelligent signal processing and computer vision.
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Publisher Springer-Verlag
Author(s) Nikhil R. Pal
ISBN 0387245154
Release Date 25 March 2005
Fuzzy Models and Algorithms for Pattern Recognition and Image Processing presents a comprehensive introduction of the use of fuzzy models in pattern recognition and selected topics in image processing and computer vision. Unique to this volume in the Kluwer Handbooks of Fuzzy Sets Series is the fact that this book was written in its entirety by its four authors. A single notation, presentation style, and purpose are used throughout. The result is an extensive unified treatment of many fuzzy models for pattern recognition. The main topics are clustering and classifier design, with extensive material on feature analysis relational clustering, image processing and computer vision. Also included are numerous figures, images and numerical examples that illustrate the use of various models involving applications in medicine, character and word recognition, remote sensing, military image analysis, and industrial engineering.
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Publisher CRC Press
Author(s) Priti Shankar
ISBN 142004382X
Release Date 07 December 2007
Todays embedded devices and sensor networks are becoming more and more sophisticated, requiring more efficient and highly flexible compilers. Engineers are discovering that many of the compilers in use today are ill-suited to meet the demands of more advanced computer architectures.
Updated to include the latest techniques, The Compiler Design Handbook, Second Edition offers a unique opportunity for designers and researchers to update their knowledge, refine their skills, and prepare for emerging innovations. The completely revised handbook includes 14 new chapters addressing topics such as worst case execution time estimation, garbage collection, and energy aware compilation. The editors take special care to consider the growing proliferation of embedded devices, as well as the need for efficient techniques to debug faulty code. New contributors provide additional insight to chapters on register allocation, software pipelining, instruction scheduling, and type systems.
Written by top researchers and designers from around the world, The Compiler Design Handbook, Second Edition gives designers the opportunity to incorporate and develop innovative techniques for optimization and code generation.
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