Free Download Ebook Design and Analysis of Approximation Algorithms

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Author: Ding-Zhu Du, Ker-I Ko, Xiaodong Hu
Isbn: 1461417007
Year: 2011
Pages: 440
Language: English
File size: 2.93 MB
File format: PDF

Ebook Descriptions

This book is intended to be used as a textbook for graduate students studying theoretical computer science. It can also be used as a reference book for researchers in the area of design and analysis of approximation algorithms. Design and Analysis of Approximation Algorithms is a graduate course in theoretical computer science taught widely in the universities, both in the United States and abroad. There are, however, very few textbooks available for this course. Among those available in the market, most books follow a problem-oriented format; that is, they collected many important combinatorial optimization problems and their approximation algorithms, and organized them based on the types, or applications, of problems, such as geometric-type problems, algebraic-type problems, etc. Such arrangement of materials is perhaps convenient for a researcher to look for the problems and algorithms related to his/her work, but is difficult for a student to capture the ideas underlying the various algorithms. In the new book proposed here, we follow a more structured, technique-oriented presentation. We organize approximation algorithms into different chapters, based on the design techniques for the algorithms, so that the reader can study approximation algorithms of the same nature together. It helps the reader to better understand the design and analysis techniques for approximation algorithms, and also helps the teacher to present the ideas and techniques of approximation algorithms in a more unified way.

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Free Download Ebook Foundations of Statistical Algorithms

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Author: Claus Weihs, Olaf Mersmann, Uwe Ligges
Isbn: 1439878854
Year: 2013
Pages: 495
Language: English
File size: 3.85 MB
File format: PDF

Ebook Descriptions

A new and refreshingly different approach to presenting the foundations of statistical algorithms, Foundations of Statistical Algorithms: With References to R Packages reviews the historical development of basic algorithms to illuminate the evolution of today’s more powerful statistical algorithms. It emphasizes recurring themes in all statistical algorithms, including computation, assessment and verification, iteration, intuition, randomness, repetition and parallelization, and scalability. Unique in scope, the book reviews the upcoming challenge of scaling many of the established techniques to very large data sets and delves into systematic verification by demonstrating how to derive general classes of worst case inputs and emphasizing the importance of testing over a large number of different inputs.

Broadly accessible, the book offers examples, exercises, and selected solutions in each chapter as well as access to a supplementary website. After working through the material covered in the book, readers should not only understand current algorithms but also gain a deeper understanding of how algorithms are constructed, how to evaluate new algorithms, which recurring principles are used to tackle some of the tough problems statistical programmers face, and how to take an idea for a new method and turn it into something practically useful.

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Free Download Ebook Data Structures and Algorithms in C++, 2nd Edition

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Author: David M. Mount, Michael T. Goodrich, Roberto Tamassia
Isbn: 0470383275
Year: 2011
Pages: 744
Language: English
File size: 17.27 MB
File format: PDF

Ebook Descriptions

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 C++.

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

Offers a unique multimedia 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.

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Free Download Ebook Algorithms and Parallel Computing

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Author: Fayez Gebali
Isbn: 0470902108
Year: 2011
Pages: 364
Language: English
File size: 10,96 MB
File format: PDF

Ebook Descriptions

There is a software gap between the hardware potential and the performance that can be attained using today’s software parallel program development tools. The tools need manual intervention by the programmer to parallelize the code. Programming a parallel computer requires closely studying the target algorithm or application, more so than in the traditional sequential programming we have all learned. The programmer must be aware of the communication and data dependencies of the algorithm or application. This book provides the techniques to explore the possible ways to program a parallel computer for a given application.

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Free Download Ebook Data Structures and Algorithms Using Python

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Author: Rance D. Necaise
Isbn: 0470618299
Year: 2010
Pages: 520
Language: English
File size: 10.43 MB
File format: PDF

Ebook Descriptions

More and more programmers are turning to Python and this book will give them the understanding they need. Necaise introduces the basic array structure and explores the fundamentals of implementing and using multi-dimensional arrays. The underlying mechanisms of many of Python’s built-in data structures and constructs are covered. A number of ADTs and applications are discussed as threads throughout the book to allow for multiple implementations as new data structures are introduced. Real-world applications of the various chapter topics are also presented. This gives programmers complete coverage of abstraction and the basic data structures and algorithms in the Python language.

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Free Download Ebook Automatic Algorithm Selection for Complex Simulation Problems

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Author: Roland Ewald
Isbn: 383481542X
Year: 2011
Pages: 403
Language: English
File size: 5,26 MB
File format: PDF

Ebook Descriptions

To select the most suitable simulation algorithm for a given task is often difficult. This is due to intricate interactions between model features, implementation details, and runtime environment, which may strongly affect the overall performance. An automated selection of simulation algorithms supports users in setting up simulation experiments without demanding expert knowledge on simulation.

Roland Ewald analyzes and discusses existing approaches to solve the algorithm selection problem in the context of simulation. He introduces a framework for automatic simulation algorithm selection and describes its integration into the open-source modelling and simulation framework James II. Its selection mechanisms are able to cope with three situations: no prior knowledge is available, the impact of problem features on simulator performance is unknown, and a relationship between problem features and algorithm performance can be established empirically. The author concludes with an experimental evaluation of the developed methods.

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Free Download Ebook Data Mining: Theories, Algorithms, and Examples

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Author: Nong Ye
Isbn: 1439808384
Year: 2013
Pages: 349
Language: English
File size: 6.55 MB
File format: PDF

Ebook Descriptions

ew technologies have enabled us to collect massive amounts of data in many fields. However, our pace of discovering useful information and knowledge from these data falls far behind our pace of collecting the data. Data Mining: Theories, Algorithms, and Examples introduces and explains a comprehensive set of data mining algorithms from various data mining fields. The book reviews theoretical rationales and procedural details of data mining algorithms, including those commonly found in the literature and those presenting considerable difficulty, using small data examples to explain and walk through the algorithms.

The book covers a wide range of data mining algorithms, including those commonly found in data mining literature and those not fully covered in most of existing literature due to their considerable difficulty. The book presents a list of software packages that support the data mining algorithms, applications of the data mining algorithms with references, and exercises, along with the solutions manual and PowerPoint slides of lectures.

The author takes a practical approach to data mining algorithms so that the data patterns produced can be fully interpreted. This approach enables students to understand theoretical and operational aspects of data mining algorithms and to manually execute the algorithms for a thorough understanding of the data patterns produced by them.

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Free Download Ebook Practical Algorithms for 3D Computer Graphics, Second Edition

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Author: R. Stuart Ferguson
Isbn: 1466582529
Year: 2014
Pages: 520
Language: English
File size: 6.35 MB
File format: PDF

Ebook Descriptions

Practical Algorithms for 3D Computer Graphics, Second Edition covers the fundamental algorithms that are the core of all 3D computer graphics software packages. Using Core OpenGL and OpenGL ES, the book enables you to create a complete suite of programs for 3D computer animation, modeling, and image synthesis.

Since the publication of the first edition, implementation aspects have changed significantly, including advances in graphics technology that are enhancing immersive experiences with virtual reality. Reflecting these considerable developments, this second edition presents up-to-date algorithms for each stage in the creative process. It takes you from the construction of polygonal models of real and imaginary objects to rigid body animation and hierarchical character animation to the rendering pipeline for the synthesis of realistic images.

New to the Second Edition

New chapter on the modern approach to real-time 3D programming using OpenGL
New chapter that introduces 3D graphics for mobile devices
New chapter on OpenFX, a comprehensive open source 3D tools suite for modeling and animation
Discussions of new topics, such as particle modeling, marching cubes, and techniques for rendering hair and fur
More web-only content, including source code for the algorithms, video transformations, comprehensive examples, and documentation for OpenFX
The book is suitable for newcomers to graphics research and 3D computer games as well as more experienced software developers who wish to write plug-in modules for any 3D application program or shader code for a commercial games engine.

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Free Download Ebook Mastering Algorithms with C

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Author: Kyle Loudon
Isbn: 1565924533
Year: 1999
Pages: 562
Language: English
File size: 5.19 MB
File format: PDF

Ebook Descriptions

There are many books on data structures and algorithms, including some with useful libraries of C functions. Mastering Algorithms with C offers you a unique combination of theoretical background and working code. With robust solutions for everyday programming 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 programming techniques.

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

Using both a programming 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 analysis, data compression, data encryption, common graph problems, and computational geometry. And he describes the relative efficiency of all implementations. The compression and encryption 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
* Analysis of algorithms
* Data structures (lists, stacks, queues, sets, hash tables, trees, heaps, priority queues, graphs)
* Sorting and searching
* Numerical methods
* Data compression
* Data encryption
* Graph algorithms
* Geometric algorithms

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Free Download Ebook Genetic Algorithms in Java Basics

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Author: Burak Kanber, Lee Jacobson
Isbn: 1484203291
Year: 203291
Pages: 154
Language: English
File size: 2.11 MB
File format: PDF

Ebook Descriptions

Genetic Algorithms in Java Basics is a brief introduction to solving problems using genetic algorithms, with working projects and solutions written in the Java programming language. This brief book will guide you step-by-step through various implementations of genetic algorithms and some of their common applications, with the aim to give you a practical understanding allowing you to solve your own unique, individual problems. After reading this book you will be comfortable with the language specific issues and concepts involved with genetic algorithms and you’ll have everything you need to start building your own.

Genetic algorithms are frequently used to solve highly complex real world problems and with this book you too can harness their problem solving capabilities. Understanding how to utilize and implement genetic algorithms is an essential tool in any respected software developers toolkit. So step into this intriguing topic and learn how you too can improve your software with genetic algorithms, and see real Java code at work which you can develop further for your own projects and research.

• Guides you through the theory behind genetic algorithms
• Explains how genetic algorithms can be used for software developers trying to solve a range of problems
• Provides a step-by-step guide to implementing genetic algorithms in Java

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