Wow! eBook - Blog » Algorithms http://www.wowebook.be Great ebook, great site! Wed, 23 May 2012 14:09:32 +0000 en hourly 1 http://wordpress.org/?v=3.3.2 Data Structures and Algorithms in Java, 5th Edition http://www.wowebook.be/book/data-structures-and-algorithms-in-java-5th-edition/ http://www.wowebook.be/book/data-structures-and-algorithms-in-java-5th-edition/#comments Wed, 16 May 2012 16:34:07 +0000 Wow! http://www.wowebook.be/?p=18766 Data Structures and Algorithms in Java, 5th Edition

Book Description

This newest edition examines fundamental data structures by following a consistent framework that builds intuition and skills of data structures and algorithms

Presents new figures, simpler language, and more practical motivations from real-world scenarios

Numerous illustrations, Web-based animations, and simplified mathematical analyses help readers quickly learn important concepts

From the Back Cover
A Clear, Visual Approach to Fundamental Data Structures and Algorithms

Goodrich and Tamassia’s DATA STRUCTURES AND ALGORITHMS IN , 5/E, incorporates the design paradigm, using as the implementation language. The authors provide intuition, description, and of fundamental data structures and algorithms. Numerous illustrations, web-based animations, and simplified mathematical analyses justify important analytical concepts.

In the Second Edition, the authors have improved their text by simplifying advanced topics, including many new exercises, and revising most code exmples. You’ll also find updated and expanded coverage of -related topics, Object-oriented design, and the language, including the Collections framework and Design Patterns.

Features

  • Visual justifications help readers better understand difficult concepts.
  • Object-oriented design provide clear approaches for creating Java code.
  • Randomization replaces complex coverage-case analysis of sophisticated data structures.
  • Improved Web site (www.wiley.com/college/cs2java) includes:
    PILOT – An interactive system for visualizing, solving and grading graph problems
    Java code examples
    Algorithms visualization tools
    A Complete Java Software Library especially designed for a CS2 course
    A student hint server for selected exercises
    Numerous instructor resources

Book Details

  • Paperback: 720 pages
  • Publisher: Wiley; 5th Edition (March 2010)
  • Language: English
  • ISBN-10: 0470398809
  • ISBN-13: 978-0470398807
Note: There is a file embedded within this post, please visit this post to download the file.

Related Posts

]]> http://www.wowebook.be/book/data-structures-and-algorithms-in-java-5th-edition/feed/ 0 Algorithms in a Nutshell http://www.wowebook.be/book/algorithms-in-a-nutshell/ http://www.wowebook.be/book/algorithms-in-a-nutshell/#comments Wed, 04 Apr 2012 10:40:57 +0000 Wow! http://www.wowebook.im/?p=18014 Algorithms in a Nutshell

Book Description

Creating robust software requires the use of efficient algorithms, but programmers seldom think about them until a problem occurs. Algorithms in a describes a large number of existing algorithms for solving a variety of problems, and helps you select and implement the right for your needs — with just enough math to let you understand and analyze .

With its focus on application, rather than theory, this book provides efficient code solutions in several languages that you can easily adapt to a specific project. Each major is presented in the style of a design pattern that includes information to help you understand why and when the is appropriate.

With this book, you will:

  • Solve a particular coding problem or improve on the of an existing solution
  • Quickly locate algorithms that relate to the problems you want to solve, and determine why a particular algorithm is the right one to use
  • Get algorithmic solutions in , ++, , and with implementation tips
  • Learn the expected performance of an algorithm, and the conditions it needs to perform at its best
  • Discover the impact that similar design decisions have on different algorithms
  • Learn advanced data structures to improve the efficiency of algorithms

With Algorithms in a , you’ll learn how to improve the performance of key algorithms essential for the success of your software applications.

Table of Contents
Chapter 1. Algorithms Matter
Chapter 2. The Mathematics of Algorithms
Chapter 3. Patterns and Domains

Chapter 4. Sorting Algorithms
Chapter 5. Searching
Chapter 6. Graph Algorithms
Chapter 7. Path Finding in AI
Chapter 8. Network Flow Algorithms
Chapter 9. Computational Geometry

Chapter 10. When All Else Fails
Chapter 11. Epilogue

Appendix. Benchmarking

Book Details

  • Paperback: 368 pages
  • Publisher: O’Reilly Media (October 2008)
  • Language: English
  • ISBN-10: 059651624X
  • ISBN-13: 978-0596516246
Note: There is a file embedded within this post, please visit this post to download the file.

Related Posts

]]> http://www.wowebook.be/book/algorithms-in-a-nutshell/feed/ 0 Programming Collective Intelligence http://www.wowebook.be/book/programming-collective-intelligence/ http://www.wowebook.be/book/programming-collective-intelligence/#comments Wed, 04 Apr 2012 10:35:53 +0000 Wow! http://www.wowebook.im/?p=18011 Programming Collective Intelligence

Book Description

Want to tap the power behind search rankings, product recommendations, bookmarking, and online matchmaking? This fascinating book demonstrates how you can build applications to mine the enormous amount of data created by people on the . With the sophisticated algorithms in this book, you can write smart programs to access interesting datasets from other web sites, collect data from users of your own applications, and analyze and understand the data once you’ve found it.

Collective Intelligence takes you into the world of learning and , and explains how to draw conclusions about user experience, marketing, personal tastes, and human behavior in general — all from information that you and others collect every day. Each is described clearly and concisely with code that can immediately be used on your web site, blog, Wiki, or specialized application. This book explains:

  • Collaborative filtering techniques that enable online retailers to recommend products or media
  • Methods of clustering to detect groups of similar items in a large dataset
  • features — crawlers, indexers, query engines, and the PageRank
  • algorithms that search millions of possible solutions to a problem and choose the best one
  • Bayesian filtering, used in spam filters for classifying documents based on word types and other features
  • Using decision trees not only to make predictions, but to model the way decisions are made
  • Predicting numerical values rather than classifications to build price models
  • Support vector machines to match people in online dating sites
  • Non-negative matrix factorization to find the independent features in a dataset
  • Evolving intelligence for problem solving — how a develops its skill by improving its own code the more it plays a game

Each chapter includes exercises for extending the algorithms to make them more powerful. Go beyond simple -backed applications and put the wealth of data to work for you.

“Bravo! I cannot think of a better way for a developer to first learn these algorithms and methods, nor can I think of a better way for me (an old AI dog) to reinvigorate my knowledge of the details.”
– Dan Russell, Google

“Toby’s book does a great job of breaking down the complex subject matter of -learning algorithms into practical, easy-to-understand examples that can be directly applied to of interaction across the Web today. If I had this book two years ago, it would have saved precious time going down some fruitless paths.”
– Tim Wolters, CTO, Collective Intellect

Table of Contents
Chapter 1. Introduction to Collective Intelligence
Chapter 2. Making Recommendations
Chapter 3. Discovering Groups
Chapter 4. Searching and Ranking
Chapter 5.
Chapter 6. Document Filtering
Chapter 7. Modeling with Decision Trees
Chapter 8. Building Price Models
Chapter 9. Advanced Classification: Kernel Methods and SVMs
Chapter 10. Finding Independent Features
Chapter 11. EVOLVING INTELLIGENCE
Chapter 12. Algorithm Summary

Appendix. Third-Party Libraries

Book Details

  • Paperback: 368 pages
  • Publisher: O’Reilly Media (August 2007)
  • Language: English
  • ISBN-10: 0596529325
  • ISBN-13: 978-0596529321
Note: There is a file embedded within this post, please visit this post to download the file.

Related Posts

]]> http://www.wowebook.be/book/programming-collective-intelligence/feed/ 0 Machine Learning in Action http://www.wowebook.be/book/machine-learning-in-action/ http://www.wowebook.be/book/machine-learning-in-action/#comments Mon, 26 Mar 2012 21:39:47 +0000 Wow! http://www.wowebook.me/?p=17748 Machine Learning in Action

Book Description

Learning is unique book that blends the foundational theories of learning with the practical realities of building tools for everyday data . You’ll use the flexible language to build programs that implement algorithms for data classification, forecasting, recommendations, and higher-level features like summarization and simplification.

A machine is said to learn when its improves with experience. Learning requires algorithms and programs that capture data and ferret out the interesting or useful patterns. Once the specialized domain of analysts and mathematicians, machine learning is becoming a skill needed by many.

Machine Learning is a clearly written tutorial for developers. It avoids academic language and takes you straight to the techniques you’ll use in your day-to-day work. Many () examples present the core algorithms of statistical data processing, data , and data visualization in code you can reuse. You’ll understand the concepts and how they fit in with tactical tasks like classification, forecasting, recommendations, and higher-level features like summarization and simplification.

Readers need no prior experience with machine learning or statistical processing. Familiarity with Python is helpful.

What’s inside

  • A no-nonsense introduction
  • Examples showing common ML tasks
  • Everyday data analysis
  • Implementing classic algorithms like Apriori and Adaboos

Table of Contents
Part I: Classification
Chapter 1. Machine learning basics
Chapter 2. Classifying with k-Nearest Neighbors
Chapter 3. Splitting datasets one feature at a time: decision trees
Chapter 4. Classifying with probability theory: naïve Bayes
Chapter 5. Logistic regression
Chapter 6. Support vector machines
Chapter 7. Improving classification with the AdaBoost meta-

Part II: Forecasting numeric values with regression
Chapter 8. Predicting numeric values: regression
Chapter 9. Tree-based regression

Part III: Unsupervised learning
Chapter 10. Grouping unlabeled items using k-means clustering
Chapter 11. Association analysis with the Apriori
Chapter 12. Efficiently finding frequent itemsets with FP-growth

Part IV: Additional tools
Chapter 13. Using principal component analysis to simplify data
Chapter 14. Simplifying data with the singular value decomposition
Chapter 15. Big data and

Appendix A. Getting started with Python
Appendix B. Linear algebra
Appendix . Probability refresher
Appendix D. Resources

Book Details

  • Paperback: 384 pages
  • Publisher: Manning Publications (March 2012)
  • Language: English
  • ISBN-10: 1617290181
  • ISBN-13: 978-1617290183
Note: There is a file embedded within this post, please visit this post to download the file.

Related Posts

]]> http://www.wowebook.be/book/machine-learning-in-action/feed/ 0 Machine Learning for Hackers http://www.wowebook.be/book/machine-learning-for-hackers/ http://www.wowebook.be/book/machine-learning-for-hackers/#comments Mon, 12 Mar 2012 15:57:01 +0000 Wow! http://www.wowebook.me/?p=17742 Machine Learning for Hackers

Book Description

If you’re an experienced programmer interested in crunching data, this book will get you started with learning—a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand learning and tools through a series of hands-on case studies, instead of a traditional math-heavy presentation.

Each chapter focuses on a specific problem in learning, such as classification, prediction, , and recommendation. Using the language, you’ll learn how to analyze sample datasets and write simple machine learning algorithms. Machine Learning for Hackers is ideal for programmers from any background, including , government, and academic .

  • Develop a naïve Bayesian classifier to determine if an is spam, based only on its text
  • Use linear regression to predict the number of page views for the top 1,000 websites
  • Learn techniques by attempting to break a simple letter cipher
  • Compare and contrast U.S. Senators statistically, based on their voting records
  • Build a “whom to follow” recommendation system from Twitter data

Table of Contents
Chapter 1. Using
Chapter 2. Data Exploration
Chapter 3. Classification: Spam Filtering
Chapter 4. Ranking: Priority Inbox
Chapter 5. Regression: Predicting Page Views
Chapter 6. Regularization: Text Regression
Chapter 7. Optimization: Breaking Codes
Chapter 8. PCA: Building a Market Index
Chapter 9. MDS: Visually Exploring US Senator Similarity
Chapter 10. kNN: Recommendation Systems
Chapter 11. Analyzing Graphs
Chapter 12. Model Comparison

Book Details

  • Paperback: 322 pages
  • Publisher: O’Reilly Media (February 2012)
  • Language: English
  • ISBN-10: 1449303714
  • ISBN-13: 978-1449303716
Note: There is a file embedded within this post, please visit this post to download the file.

Related Posts

]]> http://www.wowebook.be/book/machine-learning-for-hackers/feed/ 1 Think Complexity http://www.wowebook.be/book/think-complexity/ http://www.wowebook.be/book/think-complexity/#comments Mon, 12 Mar 2012 15:48:34 +0000 Wow! http://www.wowebook.me/?p=17736 Think Complexity

Book Description

Expand your skills by working with data structures and algorithms in a refreshing context—through an eye-opening exploration of complexity science. Whether you’re an intermediate-level programmer or a student of computational modeling, you’ll delve into examples of complex systems through a series of exercises, case studies, and easy-to-understand explanations.

You’ll work with graphs, , scale-free networks, and cellular automata, using advanced features that make such a powerful language. Ideal as a text for courses on and algorithms, Think Complexity will also help self-learners gain valuable experience with topics and ideas they might not encounter otherwise.

  • Work with arrays and methods, basic signal processing and Fast Fourier Transform, and hash tables
  • Study abstract models of complex physical systems, including power laws, fractals and pink noise, and Turing machines
  • Get starter code and solutions to help you re-implement and extend original experiments in complexity
  • Explore the philosophy of science, including the nature of laws, theory choice, realism and instrumentalism, and other topics
  • Examine case studies of complex systems submitted by students and readers

Table of Contents
Chapter 1. Complexity Science
Chapter 2. Graphs
Chapter 3. of Algorithms
Chapter 4. Small World Graphs
Chapter 5. Scale-Free Networks
Chapter 6. Cellular Automata
Chapter 7. Game of Life
Chapter 8. Fractals
Chapter 9. Self-Organized Criticality
Chapter 10. Agent-Based Models
Chapter 11. Case Study: Sugarscape
Chapter 12. Case Study: Ant Trails
Chapter 13. Case Study: Directed Graphs and Knots
Chapter 14. Case Study: The Volunteer’s Dilemma

Appendix. Call for Submissions
Appendix. Reading List

Book Details

  • Paperback: 158 pages
  • Publisher: O’Reilly Media (January 2012)
  • Language: English
  • ISBN-10: 1449314635
  • ISBN-13: 978-1449314637
Note: There is a file embedded within this post, please visit this post to download the file.

Related Posts

]]> http://www.wowebook.be/book/think-complexity/feed/ 0 Embedded Multiprocessors: Scheduling and Synchronization, 2nd Edition http://www.wowebook.be/book/embedded-multiprocessors-2nd-edition/ http://www.wowebook.be/book/embedded-multiprocessors-2nd-edition/#comments Mon, 27 Feb 2012 13:38:25 +0000 Wow! http://www.wowebook.me/?p=17452 Embedded Multiprocessors: Scheduling and Synchronization, 2nd Edition

Book Description

Techniques for Optimizing Multiprocessor Implementations of Signal Processing Applications

An indispensable component of the information age, signal processing is embedded in a variety of consumer devices, including cell phones and digital television, as well as in communication infrastructure, such as media servers and cellular base stations. Multiple programmable processors, along with custom hardware running in , are needed to achieve the computation throughput required of such applications.

Reviews important in key areas related to the multiprocessor implementation of systems
Embedded Multiprocessors: Scheduling and Synchronization, Second Edition presents architectures and design methodologies for systems in embedded digital signal processing (DSP) applications. It discusses application modeling techniques for systems, the incorporation of interprocessor communication costs into multiprocessor scheduling decisions, and a modeling methodology (the synchronization graph) for multiprocessor system . The book also applies the synchronization graph model to develop hardware and software optimizations that can significantly reduce the interprocessor communication overhead of a given schedule.

Chronicles recent activity dealing with single-chip multiprocessors and dataflow models
This edition updates the background material on existing embedded multiprocessors, including single-chip multiprocessors. It also summarizes the new on dataflow models for signal processing that has been carried out since the publication of the first edition.

Harness the power of multiprocessors
This book explores the of interprocessor communication and synchronization in embedded multiprocessor systems. It shows you how to design multiprocessor systems that are streamlined for multimedia applications.

Features

  • Focuses on multiprocessor implementations of signal processing applications specified as dataflow graphs
  • Describes unique techniques for optimizing communication and synchronization
  • Integrates arbitrary scheduling strategies with alternative algorithms to address specific subproblems associated with implementing a given schedule
  • Provides several examples of practical applications that demonstrate the relevance of the techniques described

Book Details

  • Hardcover: 380 pages
  • Publisher: CRC Press; 2nd Edition (February 2009)
  • Language: English
  • ISBN-10: 1420048015
  • ISBN-13: 978-1420048018
Note: There is a file embedded within this post, please visit this post to download the file.

Related Posts

]]> http://www.wowebook.be/book/embedded-multiprocessors-2nd-edition/feed/ 0 Data Structures Using C++, 2nd Edition http://www.wowebook.be/book/data-structures-using-cpp-2nd-edition/ http://www.wowebook.be/book/data-structures-using-cpp-2nd-edition/#comments Fri, 10 Feb 2012 15:18:59 +0000 Wow! http://www.wowebook.me/?p=17110 Data Structures Using C++, 2nd Edition

Book Description

Now in its second edition, D.S. Malik brings his proven approach to ++ to the CS2 course. Clearly written with the student in mind, this text focuses on Data Structures and includes advanced topics in ++ such as Linked Lists and the Standard Template Library (STL). The text features abundant visual diagrams, examples, and extended Examples, all of which serve to illuminate difficult concepts. Complete code and clear display of syntax, explanation, and example are used throughout the text, and each chapter concludes with a robust exercise set.

  • Designed for a CS2 one-semester course focused on data structures
  • Reinforces concepts through extensive diagrams and examples
  • Features complete Examples throughout that outline the critical steps to writing a program for a case study including Input/Output, Design, Main , and Complete Program
  • Offers robust end-of-chapter exercises that provide ample opportunity for practice
  • Written to ANSI/ISO Standard C++ and can be used with Microsoft

Table of Contents
1. Software Engineering Principles and C++ Classes
2. Design () and C++
3. Pointers and Array-Based Lists
4. Standard Template Library (STL) I
5. Linked Lists
6. Recursion
7. Stacks
8. Queues
9. Search Algorithms
10. Sorting Algorithms
11. Binary Trees
12. Graphs Algorithms
13. Standard Template Library (STL) II

Appendices A: Reserved Words
Appendices B: Operator Precedence
Appendices C: Character Sets
Appendices D: Operator Overloading
Appendices E: Header Files
Appendices F: Additional C++ Topics (Inheritance, Pointers, and Virtual Functions)
Appendices G. Problem Solving Using Object Oriented Methodology
Appendices H: C++ for Programmers
Appendices I: References for Further Study
Appendices J: Answers to Odd-Numbered Exercises

Book Details

  • Paperback: 912 pages
  • Publisher: Course Technology; 2nd Edition (July 2009)
  • Language: English
  • ISBN-10: 0324782012
  • ISBN-13: 978-0324782011
Note: There is a file embedded within this post, please visit this post to download the file.

Related Posts

]]> http://www.wowebook.be/book/data-structures-using-cpp-2nd-edition/feed/ 0 Scheduling: Theory, Algorithms, and Systems, 4th Edition http://www.wowebook.be/book/scheduling-4th-edition/ http://www.wowebook.be/book/scheduling-4th-edition/#comments Mon, 06 Feb 2012 16:53:02 +0000 Wow! http://www.wowebook.me/?p=17036 Scheduling: Theory, Algorithms, and Systems, 4th Edition

Book Description

This new edition of the well established text Scheduling – Theory, Algorithms, and Systems provides an up-to-date coverage of important theoretical models in the scheduling literature as well as significant scheduling problems that occur in the . It again includes supplementary material in the form of slide-shows from industry and movies that show implementations of scheduling systems.

The main structure of the book as per previous edition consists of three parts. The first part focuses on deterministic scheduling and the related combinatorial problems. The second part covers probabilistic scheduling models; in this part it is assumed that processing times and other problem data are random and not known in advance. The third part deals with scheduling in practice; it covers heuristics that are popular with practitioners and discusses system design and implementation issues. All three parts of this new edition have been revamped and streamlined. The references have been made completely up-to-date.

Theoreticians and practitioners alike will find this book of interest. Graduate students in operations management, operations , industrial engineering, and science will find the book an accessible and invaluable resource. Scheduling – Theory, Algorithms, and Systems will serve as an essential reference for professionals working on scheduling problems in manufacturing, services, and other environments.

Michael L. Pinedo is the Julius Schlesinger Professor of Operations Management in the Stern School of at New York University.

Reviews of third edition:
This well-established text covers both the theory and practice of scheduling. The book begins with motivating examples and the penultimate chapter discusses some commercial scheduling systems and examples of their implementations.” (Mathematical Reviews, 2009)

Book Details

  • Hardcover: 693 pages
  • Publisher: Springer; 4th Edition (January 2012)
  • Language: English
  • ISBN-10: 1461419867
  • ISBN-13: 978-1461419860
Note: There is a file embedded within this post, please visit this post to download the file.

Related Posts

]]> http://www.wowebook.be/book/scheduling-4th-edition/feed/ 0 Object-Oriented Programming in C++, 4th Edition http://www.wowebook.be/book/object-oriented-programming-in-c-4th-edition/ http://www.wowebook.be/book/object-oriented-programming-in-c-4th-edition/#comments Mon, 30 Jan 2012 17:48:31 +0000 Wow! http://www.wowebook.me/?p=16876 Object Oriented Programming in C++, 4th Edition

Book Description

in ++ begins with the basic principles of the ++ language and systematically introduces increasingly advanced topics while illustrating the methodology. While the structure of this book is similar to that of the previous edition, each chapter reflects the latest ANSI ++ standard and the examples have been thoroughly revised to reflect current practices and standards.

Table of Contents
Introduction
A Note to Teachers

Chapter 1. The Big Picture
Chapter 2. C++ Programming Basics
Chapter 3. Loops and Decisions
Chapter 4. Structures
Chapter 5. Functions
Chapter 6. Objects and Classes
Chapter 7. Arrays and Strings
Chapter 8. Operator Overloading
Chapter 9. Inheritance
Chapter 10. Pointers
Chapter 11. Virtual Functions and Other Subtleties
Chapter 12. Streams and Files
Chapter 13. Multifile Programs
Chapter 14. Templates and Exceptions
Chapter 15. The Standard Template Library
Chapter 16. Software

Appendix A: ASCII Table
Appendix B: Standard C++ Keywords
Appendix C: Microsoft
Appendix D: Borland C++ Builder
Appendix E: Console Graphics Lite
Appendix F: STL Algorithms and Member Functions
Appendix G: Answers to Questions and Exercises

Book Details

  • Paperback: 1040 pages
  • Publisher: Sams; 4th Edition (December 2001)
  • Language: English
  • ISBN-10: 0672323087
  • ISBN-13: 978-0672323089
Note: There is a file embedded within this post, please visit this post to download the file.

Related Posts

]]> http://www.wowebook.be/book/object-oriented-programming-in-c-4th-edition/feed/ 0 Introduction to Design Patterns in C++ with Qt, 2nd Edition http://www.wowebook.be/book/introduction-to-design-patterns-in-cpp-with-qt-2nd-edition/ http://www.wowebook.be/book/introduction-to-design-patterns-in-cpp-with-qt-2nd-edition/#comments Sat, 28 Jan 2012 13:55:26 +0000 Wow! http://www.wowebook.me/?p=16823 Introduction to Design Patterns in C++ with Qt, 2nd Edition

Book Description

Master ++ “The Way” with Modern Design Patterns and Efficient Reuse

This fully updated, classroom-tested book teaches ++ “The Way,” emphasizing design patterns and efficient reuse. Readers will master both the ++ language and Qt libraries, as they learn to develop maintainable software with well-defined code layers and simple, reusable classes and functions.

Every chapter of this edition has been improved with new content, better organization, or both. Readers will find extensively revised coverage of QObjects, Reflection, Widgets, Main Windows, Models and Views, Databases, Multi-Threaded , and Reflection. This edition introduces the powerful new Qt Creator IDE; presents new APIs; and offers extended coverage of Qt Designer and C++ Integration. It has been restructured to help readers start writing software immediately and write robust, effective software sooner.

The authors introduce several new design patterns, add many quiz questions and labs, and present more efficient solutions relying on new Qt features and best practices. They also provide an up-to-date C++ reference section and a complete application case study.

  • Master C++ keywords, literals, identifiers, declarations, types, and type conversions.
  • Understand classes and objects, organize them, and describe their interrelationships.
  • Learn consistent style and naming rules.
  • Use lists, functions, and other essential techniques.
  • Define inheritance relationships to share code and promote reuse.
  • Learn how code libraries are designed, built, and reused.
  • Work with , the base class underlying much of Qt.
  • Build graphical user interfaces with Qt widgets.
  • Use templates to write generic functions and classes.
  • Master advanced reflective programming techniques.
  • Use the Model-View framework to cleanly separate data and GUI classes.
  • Validate input using regular expressions and other techniques.
  • Parse data with SAX, DOM, and QXmlStreamReader.
  • Master today’s most valuable creational and structural design patterns.
  • Create, use, monitor, and debug processes and threads.
  • Access databases with Qt’s classes.
  • Manage memory reliably and efficiently.
  • Understand how to effectively manage QThreads and use QtConcurrent algorithms.

Book Details

  • Hardcover: 768 pages
  • Publisher: Prentice Hall; 2nd Edition (September 2011)
  • Language: English
  • ISBN-10: 0132826453
  • ISBN-13: 978-0132826457
Note: There is a file embedded within this post, please visit this post to download the file.

Related Posts

]]> http://www.wowebook.be/book/introduction-to-design-patterns-in-cpp-with-qt-2nd-edition/feed/ 0 Data Structures and Algorithm Analysis in Java, 3rd Edition http://www.wowebook.be/book/data-structures-and-algorithm-analysis-in-java-3rd-edition/ http://www.wowebook.be/book/data-structures-and-algorithm-analysis-in-java-3rd-edition/#comments Wed, 25 Jan 2012 18:46:41 +0000 Wow! http://www.wowebook.me/?p=16775 Data Structures and Algorithm Analysis in Java, 3rd Edition

Book Description

Data Structures and in is an “advanced algorithms” book that fits between traditional CS2 and Algorithms courses. In the old ACM Curriculum Guidelines, this course was known as CS7. This text is for readers who want to learn good and skills simultaneously so that they can develop such programs with the maximum amount of efficiency. Readers should have some knowledge of intermediate , including topics as object-based and recursion, and some background in discrete math.

As the speed and power of computers increases, so does the need for effective programming and algorithm analysis. By approaching these skills in tandem, Mark Allen Weiss teaches readers to develop well-constructed, maximally efficient programs in .

Weiss clearly explains topics from binary heaps to sorting to NP-completeness, and dedicates a full chapter to amortized analysis and advanced data structures and their implementation. Figures and examples illustrating successive stages of algorithms contribute to Weiss’ careful, rigorous and in-depth analysis of each type of algorithm. A logical organization of topics and full access to source code complement the text’s coverage.

From the Back Cover
Mark Allen Weiss provides a proven approach to algorithms and data structures using the exciting Java programming language as the implementation tool. With Java he highlights conceptual topics, focusing on ADTs and the analysis of algorithms for efficiency as well as and running time. Dr. Weiss also distinguishes this text with a logical organization of topics, his engaging writing style, and an extensive use of figures and examples showing the successive stages of an algorithm.

Features

  • Contains extensive sample code using Java 1.2, which is available over the .
  • Covers the Java Collections Library in an appendix.
  • Includes a chapter on algorithm and design techniques that covers greedy algorithms, divide-and-conquer algorithms, dynamic programming,
  • randomized algorithms, and backtracking.
  • Presents current topics and new data structures such as Fibonacci heaps, skew heaps, binomial queues, skip lists, and splay trees.
  • Offers a chapter on amortized analysis that examines the advanced data structures presented earlier in the book.
  • Provides a chapter on advanced data structures and their implementation, covering red-black trees, top-down splay trees, treaps, k-d trees, pairing heaps, and more.

Book Details

  • Hardcover: 576 pages
  • Publisher: Addison Wesley; 3rd Edition (November 2011)
  • Language: English
  • ISBN-10: 0132576279
  • ISBN-13: 978-0132576277
Note: There is a file embedded within this post, please visit this post to download the file.

Related Posts

]]> http://www.wowebook.be/book/data-structures-and-algorithm-analysis-in-java-3rd-edition/feed/ 1 Java Foundations: Introduction to Program Design and Data Structures, 2nd Edition http://www.wowebook.be/book/java-foundations-2nd-edition/ http://www.wowebook.be/book/java-foundations-2nd-edition/#comments Fri, 06 Jan 2012 19:07:37 +0000 Wow! http://www.wowebook.me/?p=16452 Java Foundations: Introduction to Program Design and Data Structures, 2nd Edition

Book Description

Inspired by the success of their best-selling introductory text, Software Solutions, authors Lewis, DePasquale, and Chase now release Foundations, Second Edition. This text is a comprehensive resource for instructors who want a two-or three-semester introduction to textbook that includes detail on data structures topics. Foundations introduces a Software Methodology early on and revisits it throughout to ensure students develop sound program skills from the beginning. Control structures are covered before writing classes, providing a solid foundation of fundamental concepts and sophisticated topics.

  • Presents objects in a gradual, natural manner. Concepts that overlap with procedural , such as methods and their invocation, are discussed in terms of an approach.
  • Loaded with fully implemented examples, intertwining small examples, and realistic larger examples that are easy to understand.
  • Offers complete chapter on Graphical User Interfaces that includes engaging graphical examples.
  • Exclusive coverage of software- and debugging effective practices.
  • Provides plenty of opportunity for practice with extensive end-of-chapter questions, exercises, and projects.

Table of Contents
Chapter 1. Introduction
Chapter 2. Data and Expressions
Chapter 3. Using Classes and Objects
Chapter 4. Conditionals and Loops
Chapter 5. Writing Classes
Chapter 6. Graphical User Interfaces
Chapter 7. Arrays
Chapter 8. Inheritance
Chapter 9. Polymorphism
Chapter 10. Exceptions
Chapter 11. Recursion
Chapter 12. of Algorithms
Chapter 13. Searching and Sorting
Chapter 14. Stacks
Chapter 15. Queues
Chapter 16. Trees
Chapter 17. Binary Search Trees
Chapter 18. Heaps and Priority Queues
Chapter 19. Graphs
Chapter 20. Hashing
Chapter 21. Databases

Book Details

  • Paperback: 912 pages
  • Publisher: Addison Wesley; 2nd Edition (March 2010)
  • Language: English
  • ISBN-10: 0132128810
  • ISBN-13: 978-0132128810
Note: There is a file embedded within this post, please visit this post to download the file.

Related Posts

]]> http://www.wowebook.be/book/java-foundations-2nd-edition/feed/ 0 Starting Out with C++: Early Objects, 7th Edition http://www.wowebook.be/book/starting-out-with-cpp-7th-edition/ http://www.wowebook.be/book/starting-out-with-cpp-7th-edition/#comments Fri, 06 Jan 2012 18:36:47 +0000 Wow! http://www.wowebook.me/?p=16441 Starting Out with C++: Early Objects, 7th Edition

Book Description

Tony Gaddis’s accessible, step-by-step presentation helps beginning students understand the important details necessary to become skilled programmers at an introductory level. Gaddis motivates the study of both skills and the ++ language by presenting all the details needed to understand the “how” and the “why”—but never losing sight of the fact that most beginners struggle with this material. His approach is both gradual and highly accessible, ensuring that students understand the logic behind developing high-quality programs.

In Starting Out with ++: Early Objects, Gaddis covers objects and classes early after functions and before arrays and pointers. As with all Gaddis texts, clear and easy-to-read code listings, concise and practical real-world examples, and an abundance of exercises appear in every chapter. This text is intended for either a one-semester accelerated introductory course or a traditional two-semester sequence covering ++ .

Table of Contents
Chapter 1. Introduction to Computers and Programming
Chapter 2. Introduction to C++
Chapter 3. Expressions and Interactivity
Chapter 4. Making Decisions
Chapter 5. Looping
Chapter 6. Functions
Chapter 7. Introduction to Classes and Objects
Chapter 8. Arrays
Chapter 9. Searching, Sorting, and
Chapter 10. Pointers
Chapter 11. More About Classes and Programming
Chapter 12. More About Characters, Strings, and the string Class
Chapter 13. Advanced File and I/O Operations
Chapter 14. Recursion
Chapter 15. Polymorphism and Virtual Functions
Chapter 16. Exceptions, Templates, and the Standard Template Library (STL)
Chapter 17. Linked Lists
Chapter 18. Stacks and Queues
Chapter 19. Binary Trees
Appendix A: The ASCII Character Set
Appendix B: Operator Precedence and Associativity
Index

Book Details

  • Paperback: 1200 pages
  • Publisher: Addison Wesley; 7th Edition (March 2010)
  • Language: English
  • ISBN-10: 0136077749
  • ISBN-13: 978-0136077749
Note: There is a file embedded within this post, please visit this post to download the file.

Related Posts

]]> http://www.wowebook.be/book/starting-out-with-cpp-7th-edition/feed/ 0 Data Structures and Algorithms in C++, 2nd Edition http://www.wowebook.be/book/data-structures-and-algorithms-in-cpp-2nd-edition/ http://www.wowebook.be/book/data-structures-and-algorithms-in-cpp-2nd-edition/#comments Tue, 27 Dec 2011 19:28:43 +0000 Wow! http://www.wowebook.me/?p=16266 Data Structures and Algorithms in C++, 2nd Edition

Book Description

An updated, innovative approach to data structures and algorithms

Written by an author team of experts in their fields, this authoritative guide demystifies even the most difficult mathematical concepts so that you can gain a clear understanding of data structures and algorithms in ++.

The unparalleled author team incorporates the design paradigm using ++ as the implementation language, while also providing intuition and of fundamental algorithms.

  • Offers a unique format for learning the fundamentals of data structures and algorithms
  • Allows you to visualize key analytic concepts, learn about the most recent insights in the field, and do data structure design
  • Provides clear approaches for developing programs
  • Features a clear, easy-to-understand writing style that breaks down even the most difficult mathematical concepts

Building on the success of the first edition, this new version offers you an innovative approach to fundamental data structures and algorithms.

Table of Contents
Chapter 1. Basic C++
Chapter 2. Design
Chapter 3. Tools
Chapter 4. Stacks, Queues, and Recursion
Chapter 5. Vectors, Lists, and Sequences
Chapter 6. Trees
Chapter 7. Priority Queues
Chapter 8. Dictionaries
Chapter 9. Search Trees
Chapter 10. Sorting, Sets, and Selection
Chapter 11. Text Processing
Chapter 12. Graphs
Appendix A. Useful Mathematical Facts

Book Details

  • Paperback: 744 pages
  • Publisher: Wiley; 2nd Edition (February 2011)
  • Language: English
  • ISBN-10: 0470383275
  • ISBN-13: 978-0470383278
Note: There is a file embedded within this post, please visit this post to download the file.

Related Posts

]]> http://www.wowebook.be/book/data-structures-and-algorithms-in-cpp-2nd-edition/feed/ 0 OpenCL in Action http://www.wowebook.be/book/opencl-in-action/ http://www.wowebook.be/book/opencl-in-action/#comments Mon, 19 Dec 2011 17:42:49 +0000 Wow! http://www.wowebook.me/?p=16057 OpenCL in Action

Book Description

is a thorough, hands-on presentation of , with an eye toward showing developers how to build high- applications of their own. It begins by presenting the core concepts behind , including vector computing, , and multi-threaded operations, and then guides you step-by-step from simple data structures to complex functions.

Whatever system you have, it probably has more raw processing power than you’re using. OpenCL is a high- language that maximizes computational power by executing on CPUs, graphics processors, and other number-crunching devices. It’s perfect for speed-sensitive tasks like vector computing, matrix operations, and graphics acceleration.

OpenCL blends the theory of computing with the practical reality of building high-performance applications using OpenCL. It first guides you through the fundamental data structures in an intuitive manner. Then, it explains techniques for high-speed sorting, image processing, matrix operations, and fast Fourier transform. The book concludes with a deep look at the all-important subject of graphics acceleration. Numerous challenging examples give you different ways to experiment with working code.

A background in or ++ is helpful, but no prior exposure to OpenCL is needed.

What’s Inside

  • Learn OpenCL step by step
  • Tons of annotated code
  • Tested algorithms for maximum performance

Table of Contents
Part 1: Foundations of OpenCL programming
Chapter 1. Introducing OpenCL
Chapter 2. Host programming: fundamental data structures
Chapter 3. Host programming: data transfer and partitioning
Chapter 4. Kernel programming: data types and device memory
Chapter 5. Kernel programming: operators and functions
Chapter 6. Image processing
Chapter 7. Events, profiling, and synchronization
Chapter 8. with ++
Chapter 9. with and
Chapter 10. General coding principles

Part 2: Coding practical algorithms in OpenCL
Chapter 11. Reduction and sorting
Chapter 12. Matrices and QR decomposition
Chapter 13. Sparse matrices
Chapter 14. Signal processing and the fast Fourier transform

Part 3: Accelerating OpenGL with OpenCL
Chapter 15. Combining OpenCL and OpenGL
Chapter 16. Textures and renderbuffers

Appendix A. Installing and using a software development kit
Appendix B. Real-time rendering with OpenGL
Appendix C. The minimalist GNU for Windows and OpenCL
Appendix D. OpenCL on mobile devices

Book Details

  • Paperback: 456 pages
  • Publisher: Manning Publications (November 2011)
  • Language: English
  • ISBN-10: 1617290173
  • ISBN-13: 978-1617290176
Note: There is a file embedded within this post, please visit this post to download the file.

Related Posts

]]> http://www.wowebook.be/book/opencl-in-action/feed/ 0 Mastering Algorithms with C http://www.wowebook.be/book/mastering-algorithms-with-c/ http://www.wowebook.be/book/mastering-algorithms-with-c/#comments Tue, 15 Nov 2011 17:05:36 +0000 Wow! http://www.wowebook.pro/?p=15407 Mastering Algorithms with C

Book Description

There are many books on data structures and algorithms, including some with useful libraries of functions. Mastering Algorithms with offers you a unique combination of theoretical background and working code. With robust solutions for everyday tasks, this book avoids the abstract style of most classic data structures and algorithms texts, but still provides all of the information you need to understand the purpose and use of common techniques.

Implementations, as well as interesting, real-world examples of each data structure and , are included.

Using both a style and a writing style that are exceptionally clean, Kyle Loudon shows you how to use such essential data structures as lists, stacks, queues, sets, trees, heaps, priority queues, and graphs. He explains how to use algorithms for sorting, searching, numerical , data compression, data , common graph problems, and computational geometry. And he describes the relative efficiency of all implementations. The compression and chapters not only give you working code for reasonably efficient solutions, they offer explanations of concepts in an approachable manner for people who never have had the time or expertise to study them in depth.

Anyone with a basic understanding of the C language can use this book. In order to provide maintainable and extendible code, an extra level of abstraction (such as pointers to functions) is used in examples where appropriate. Understanding that these techniques may be unfamiliar to some programmers, Loudon explains them clearly in the introductory chapters.

Contents include:

  • Pointers
  • Recursion
  • of algorithms
  • Data structures (lists, stacks, queues, sets, hash tables, trees, heaps, priority queues, graphs)
  • Sorting and searching
  • Numerical methods
  • Data compression
  • Data
  • Graph algorithms
  • Geometric algorithms

Table of Contents
Part I: Preliminaries
Chapter 1. Introduction
Chapter 2. Pointer Manipulation
Chapter 3. Recursion
Chapter 4. Analysis of Algorithms

Part II: Data Structures
Chapter 5. Linked Lists
Chapter 6. Stacks and Queues
Chapter 7. Sets
Chapter 8. Hash Tables
Chapter 9. Trees
Chapter 10. Heaps and Priority Queues
Chapter 11. Graphs

Part III: Algorithms
Chapter 12. Sorting and Searching
Chapter 13. Numerical Methods
Chapter 14. Data Compression
Chapter 15. Data Encryption
Chapter 16. Graph Algorithms
Chapter 17. Geometric Algorithms

Book Details

  • Paperback: 560 pages
  • Publisher: O’Reilly Media (August 1999)
  • Language: English
  • ISBN-10: 1565924533
  • ISBN-13: 978-1565924536
Note: There is a file embedded within this post, please visit this post to download the file.

Related Posts

]]> http://www.wowebook.be/book/mastering-algorithms-with-c/feed/ 4 Machine Learning for Email http://www.wowebook.be/book/machine-learning-for-email/ http://www.wowebook.be/book/machine-learning-for-email/#comments Tue, 15 Nov 2011 11:22:06 +0000 Wow! http://www.wowebook.pro/?p=15397 Machine Learning for Email

Book Description

If you’re an experienced programmer willing to crunch data, this concise guide will show you how to use learning to work with . You’ll learn how to write algorithms that automatically sort and redirect based on statistical patterns. Authors Drew Conway and John Myles White approach the process in a practical fashion, using a case-study driven approach rather than a traditional math-heavy presentation.

This book also includes a short tutorial on using the popular language to manipulate and analyze data. You’ll get clear examples for analyzing sample data and writing learning programs with .

  • Mine content with functions, using a collection of sample files
  • Analyze the data and use the results to write a Bayesian spam classifier
  • Rank email by importance, using factors such as thread activity
  • Use your email ranking to write a priority inbox program
  • Test your classifier and priority inbox with a separate email sample set

Table of Contents
Chapter 1 Using R
Chapter 2 Data Exploration
Chapter 3 Classification: Spam Filtering
Chapter 4 Ranking: Priority Inbox

Book Details

  • Paperback: 146 pages
  • Publisher: O’Reilly Media (Octorber 2011)
  • Language: English
  • ISBN-10: 1449314309
  • ISBN-13: 978-1449314309
Note: There is a file embedded within this post, please visit this post to download the file.

Related Posts

]]> http://www.wowebook.be/book/machine-learning-for-email/feed/ 0 Data Mining: Concepts, Models, Methods, and Algorithms, 2nd Edition http://www.wowebook.be/book/data-mining-concepts-models-methods-and-algorithms-2nd-edition/ http://www.wowebook.be/book/data-mining-concepts-models-methods-and-algorithms-2nd-edition/#comments Mon, 07 Nov 2011 19:29:21 +0000 Wow! http://www.wowebook.pro/?p=15235 Data Mining: Concepts, Models, Methods, and Algorithms, 2nd Edition

Book Description

This book reviews state-of-the-art methodologies and techniques for analyzing enormous quantities of raw data in high-dimensional data spaces, to extract new information for decision making. The goal of this book is to provide a single introductory source, organized in a systematic way, in which we could direct the readers in of large data sets, through the explanation of basic concepts, models and methodologies developed in recent decades.

Review
“…a very readable and up-to-date introduction to data mining…” (Quality & Reliability Engineering International, Vol. 21 (4) June 2005)”…suitable for a graduate level course in data mining…I enjoyed reading this book and recommend it highly.” (Journal of Statistical Computation & Simulation, April 2004)

“…clear and well understandable…recommended as basic guidance…practitioners will profit from the author’s long experience…” (Zentralblatt Math, Vol. 1027, 2004)

“…reviews state-of-the-art techniques for analyzing enormous quantities of raw data…” (Quarterly of Applied Mathematics, Vol. LXI, No. 3, September 2003)

“…this is a comprehensive textbook that describes the process and methodologies of data mining in an unbiased manner…serves as an excellent starting point for anyone wishing to learn about data mining.” (Journal of Proteome , May/ June 2003)

“…a valuable book…. I truly enjoyed reading the book and I am glad to recommend it to anyone working in this fascinating field.” (IIE Transactions)

“…detailed, well illustrated, and easy to understand…comprehensive…a good book…” (Mathematical Reviews 2003h)

“…this is probably the first data-mining book that I would select from my bookshelf as reading material for a statistician…” (Technometrics, Vol. 45, No. 3, August 2003)

From the Back Cover
Now updated—the systematic introductory guide to modern of large data setsAs data sets continue to grow in size and complexity, there has been an inevitable move towards indirect, automatic, and intelligent data in which the analyst works via more complex and sophisticated software tools. This book reviews state-of-the-art methodologies and techniques for analyzing enormous quantities of raw data in high-dimensional data spaces to extract new information for decision-making.

This Second Edition of Data Mining: Concepts, Models, Methods, and Algorithms discusses data mining principles and then describes representative state-of-the-art methods and algorithms originating from different disciplines such as , learning, neural networks, fuzzy logic, and evolutionary computation. Detailed algorithms are provided with necessary explanations and illustrative examples, and questions and exercises for practice at the end of each chapter. This new edition features the following new techniques/methodologies:

  • Support Vector Machines (SVM)—developed based on statistical learning theory, they have a large potential for applications in predictive data mining
  • Kohonen Maps (Self-Organizing Maps – SOM)—one of very applicative neural-networks-based methodologies for descriptive data mining and multi-dimensional data visualizations
  • DBSCAN, BIRCH, and distributed DBSCAN clustering algorithms—representatives of an important class of density-based clustering methodologies
  • Bayesian Networks (BN) methodology often used for causality modeling
  • Algorithms for measuring Betweeness and Centrality parameters in graphs, important for applications in mining large networks
  • CART and Gini index in building decision trees
  • Bagging & Boosting approaches to ensemble-learning methodologies, with details of AdaBoost
  • Relief algorithm, one of the core feature selection algorithms inspired by instance-based learning
  • PageRank algorithm for mining and authority ranking of web pages
  • Latent Semantic Analysis (LSA) for text mining and measuring semantic similarities between text-based documents
  • New sections on temporal, spatial, web, text, , and distributed data mining
  • More emphasis on , privacy, security, and legal aspects of data mining technology

This text offers guidance on how and when to use a particular software tool (with the companion data sets) from among the hundreds offered when faced with a data set to mine. This allows analysts to create and perform their own data mining experiments using their knowledge of the methodologies and techniques provided. The book emphasizes the selection of appropriate methodologies and data analysis software, as well as parameter tuning. These critically important, qualitative decisions can only be made with the deeper understanding of parameter meaning and its role in the technique that is offered here.

This volume is primarily intended as a data-mining textbook for science, engineering, and information systems majors at the graduate level. Senior students at the undergraduate level and with the appropriate background can also successfully comprehend all topics presented here.

Book Details

  • Hardcover: 552 pages
  • Publisher: Wiley-IEEE Press; 2nd Edition (August 2011)
  • Language: English
  • ISBN-10: 0470890452
  • ISBN-13: 978-0470890455
Note: There is a file embedded within this post, please visit this post to download the file. ]]> http://www.wowebook.be/book/data-mining-concepts-models-methods-and-algorithms-2nd-edition/feed/ 2 Mahout in Action http://www.wowebook.be/book/mahout-in-action/ http://www.wowebook.be/book/mahout-in-action/#comments Tue, 01 Nov 2011 15:58:42 +0000 Wow! http://www.wowebook.pro/?p=15040 Mahout in Action

Book Description

Mahout is a hands-on introduction to learning with . Following real-world examples, the book presents practical use cases and then illustrates how Mahout can be applied to solve them. Includes a free audio- and video-enhanced ebook.

This book covers learning using . Based on experience with real-world applications, it introduces practical use cases and illustrates how Mahout can be applied to solve them. It places particular focus on issues of scalability and how to apply these techniques against large data sets using the Apache Hadoop framework.

This book is written for developers familiar with ?no prior experience with Mahout is assumed.

What’s Inside

  • Use group data to make individual recommendations
  • Find logical clusters within your data
  • Filter and refine with on-the-fly classification
  • Free audio and video extras

Table of Contents

  1. Meet Apache Mahout

PART 1 RECOMMENDATIONS

  1. Introducing recommenders
  2. Representing recommender data
  3. Making recommendations
  4. Taking recommenders to production
  5. Distributing recommendation computations

PART 2 CLUSTERING

  1. Introduction to clustering
  2. Representing data
  3. Clustering algorithms in Mahout
  4. Evaluating and improving clustering quality
  5. Taking clustering to production
  6. Real-world applications of clustering

PART 3 CLASSIFICATION

  1. Introduction to classification
  2. Training a classifier
  3. Evaluating and tuning a classifier
  4. Deploying a classifier

Book Details

  • Paperback: 416 pages
  • Publisher: Manning Publications (October 2011)
  • Language: English
  • ISBN-10: 1935182684
  • ISBN-13: 978-1935182689
Note: There is a file embedded within this post, please visit this post to download the file.

Related Posts

]]> http://www.wowebook.be/book/mahout-in-action/feed/ 0