-
Author: Behrouz A.Forouzan
-
Author: William Stallings
-
Authour: Dougals E.Comer
-
Author: James F.Kurose and Keith W.Ross
-
Author:David A. Patterson & John L.Hennessy
-
Author: Hesham El-Rewini &Mostafa Abd-El-Barr
-
Authour: Randy L. Haupt & Sue Ellen Haupt
-
Author: Isaac S. Kohane, Alvin Kho & Atul J. Butte
-
Author:Carlos Setubal & Joao Meidanis
-
Author: Arthur M. Lesk
Description: On 26 June 2000, the completion of the draft sequence of the Human Genome saw the sciences of biology and medicine change forever. It promised new insights into our genetic make-up, how our genes shape who we are, and how we function, and new possibilities for an improved quality of life, exploiting new knowledge to design novel, more effective drugs. At the heart of this breakthrough lies a scientific discipline which is now one of the most important information gathering, data-mining, and knowledge-building tools in current research and healthcare development: bioinformatics. Written by a pioneer of the use of bioinformatics in research, Introduction to Bioinformatics 2/e introduces the student to the power of bioinformatics as a set of scientific tools. The book explains how to access the data archives of genomes and proteins, and the kind of questions these data and tools can answer - how to make inferences from the data archives, to make connections among them, and to derive useful and interesting predictions. Retaining and enhancing the rich pedagogy and lucid presentation of the first edition, the book is accompanied by a fully integrated Online Resource Centre, encouraging students to explore the computational tools of bioinformatics in a relevant and stimulating way. Online Resource Centre - Figures from the book available to download, to facilitate lecture slide preparation - Web link library of all URLs cited in the book, and hyperlinks to a wide range offurther reading articles, to give students ready access to these resources - Links to PDB structures of all proteins cited in the book, to enable students to investigate the 3D structures of proteins in a visual, interactive way - Data from the book in computer-readable form, which is available for instant use to facilitate hands-on learning by the student - Guidance to help students answer problems from the text, to support and encourage self-learning
-
Author: John R. Koza
Description: Genetic programming may be more powerful than neural networks and other machinelearning techniques, able to solve problems in a wider range of disciplines. In this ground-breakingbook, John Koza shows how this remarkable paradigm works and provides substantial empirical evidencethat solutions to a great variety of problems from many different fields can be found by geneticallybreeding populations of computer programs. Genetic Programming contains a great many worked examplesand includes a sample computer code that will allow readers to run their own programs.In gettingcomputers to solve problems without being explicitly programmed, Koza stresses two points: thatseemingly different problems from a variety of fields can be reformulated as problems of programinduction, and that the recently developed genetic programming paradigm provides a way to search thespace of possible computer programs for a highly fit individual computer program to solve theproblems of program induction. Good programs are found by evolving them in a computer against afitness measure instead of by sitting down and writing them.John R. Koza is Consulting AssociateProfessor in the Computer Science Department at Stanford University.
-
Author: Julio Collado-Vides
-
Author: Cynthia Gibas & Per Jambeck
-
Author: Sushmita Mitra & Tinku Acharya
-
Author: Pavel A. Pevzner
-
Author: Francisco Azuaje
-
Author: Tao Jiang , Ying Xu & Michael Q. Zhang
-
Author: Peter Clote & Rolf Backofen
-
Author: Pavel A. Pevzner
-
Melanie Mitchell
An Introduction to Genetic Algorithms
Genetic algorithms have been used in science and engineering as adaptive algorithms for solving practical problems and as computational models of natural evolutionary systems. This brief, accessible introduction describes some of the most interesting research in the field and also enables readers to implement and experiment with genetic algorithms on their own. It focuses in depth on a small set of important and interesting topics -- particularly in machine learning, scientific modeling, and artificial life -- and reviews a broad span of research, including the work of Mitchell and her colleagues.The descriptions of applications and modeling projects stretch beyond the strict boundaries of computer science to include dynamical systems theory, game theory, molecular biology, ecology, evolutionary biology, and population genetics, underscoring the exciting "general purpose" nature of genetic algorithms as search methods that can be employed across disciplines.An Introduction to Genetic Algorithms is accessible to students and researchers in any scientific discipline. It includes many thought and computer exercises that build on and reinforce the reader's understanding of the text.The first chapter introduces genetic algorithms and their terminology and describes two provocative applications in detail. The second and third chapters look at the use of genetic algorithms in machine learning (computer programs, data analysis and prediction, neural networks) and in scientific models (interactions among learning, evolution, and culture; sexual selection; ecosystems; evolutionary activity). Several approaches to the theory of genetic algorithms are discussed in depth in the fourth chapter. The fifth chapter takes up implementation, and the last chapter poses some currently unanswered questions and surveys prospects for the future of evolutionary computation.
-
Author: Christopher Fall, Eric Marland, John Wagner & John Tyson
-
Author: Ian Korf, Mark Yandell & Joseph Bedell
-
Author: Pierre Baldi & Soren Brunak
-
Author: David W. Mount
-
Author: Bryan Bergeron
-
Author: -Andreas D. Baxevanis & B. F. Francis Ouellette
-
Author: James Tisdall
-
Authoulr: Lawrence Hunter
-
Bradley L Jones
Teach Yourself C in 21 Days
2nd Edition
In just 21 days, you'll have all the skills you need to get started with C. With this complete tutorial, you'll master the basics and them move on to the more advanced features and concepts.
- Understand the fundamentals of C.
- Master all the new and advanced features that C offers.
- Learn how to effectively use the latest tools and features of C, by following practical, real-world examples.
-
Robert Lafore
Object-Oriented Programming in C++
4th Edition
Object-Oriented Programming in C++ begins with the basic principles of the C++ programming language and systematically introduces increasingly advanced topics while illustrating the OOP methodology. While the structure of this book is similar to that of the previous edition, each chapter reflects the latest ANSI C++ standard and the examples have been thoroughly revised to reflect current practices and standards.Educational SupplementSuggested solutions to the programming projects found at the end of each chapter are made available to instructors at recognized educational institutions. This educational supplement can be found at www.prenhall.com, in the Instructor Resource Center.
-
Pravesh
Programming Concepts using C
Description here...
-
Jaun Soulie
C++ language Tutorial
Learn C++ from its basics or introduce yourself to new language features with The C++ Language Tutorial.
A fast paced self-teaching tutorial covering the modern concepts of this programming language.
-
Herbert Schildt
Book Edition
4th Edition
Another gem from Herb Schildt--best-selling programming author with more than 2.5 million books sold! C: The Complete Reference, Fourth Edition gives you full details on C99, the New ANSI/ISO Standard for C. You'll get in-depth coverage of the C language and function libraries as well as all the newest C features, including restricted pointers, inline functions, variable-length arrays, and complex math. This jam-packed resource includes hundreds of examples and sample applications.
-
Kent Reisdorph
Borland c plus plus in 14 days
Teaching yourself C++ software and how to use it.
-
C++ Network Programming begins with an overview of the issues and tools involved in writing distributed concurrent applications. The book then provides the essential design dimensions, patterns, and principles needed to develop flexible and efficient concurrent networked applications. The book's expert author team shows you how to enhance design skills while applying C++ and patterns effectively to develop object-oriented networked applications.
Readers will find coverage of:
- C++ network programming, including an overview and strategies for addressing common development challenges The ACE Toolkit
- Connection protocols, message exchange, and message-passing versus shared memory
- Implementation methods for reusable networked application services
- Concurrency in object-oriented network programming
- Design principles and patterns for ACE wrapper facades
-
Stuart Russell
Artificial Intelligence - A Modern Approach
2nd Edition
For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence. Click on "Features" tab below for more information Resources: Visit the author's website http://aima.cs.berkeley.edu/ to access both student and instructor resources including Power Point slides, syllabus. homework and exams, and solutions text problems.
-
Addison Wesley
Artificial Intelligence
3rd Edition
Artificial Intelligence: Structures and Strategies for Complex Problem Solving is ideal for a one- or two-semester undergraduate course on AI.
In this accessible, comprehensive text, George Luger captures the essence of artificial intelligence–solving the complex problems that arise wherever computer technology is applied. Ideal for an undergraduate course in AI, the Sixth Edition presents the fundamental concepts of the discipline first then goes into detail with the practical information necessary to implement the algorithms and strategies discussed. Readers learn how to use a number of different software tools and techniques to address the many challenges faced by today’s computer scientists.
-
Scott B. Guthery
Mobile Application Development with SMS and the SIM Toolkit
Get mobile messaging going on virtually any platform, in any language Mobile Application Development Using SMS and the SIM Toolkit is just the guide you’ve been looking for if you’re building applications for GSM or 3G networks, wish you had sample code for reality-based applications, or want to add mobile extensions to your software products and corporate network. In this straight-talking tutorial, smart card expert Scott Guthery teams with information management specialist Mary Cronin to provide you with authoritative guidance on SIM application design, integration, and management for any platform. Seasoned developers will quickly learn how to:
- Create code that harnesses the power of the SIM
- Use the micro-browsers and micro-Web servers in 3G phones
- Construct leading-edge mobile commerce applications on today's network
- Send and receive SMS messages from your server or your laptop
- Enable interfaces and other needed components
- Create secure wireless applications for corporate networks and VPNs
-
Jonathan Simon
Head First Android Development
Android devices are stealing market share from the iPhone with dramatic speed, and you have a killer app idea. Where to begin? Head First Android Development will help you get your first application up and running in no time with the Android SDK and Eclipse plug-in. You'll learn how to design for devices with a variety of different screen sizes and resolutions, along with mastering core programming and design principles that will make your app stand out.
Whether you're a seasoned iPhone developer who wants to jump into the the Android Market, or someone with previous programming skills but no mobile apps in your resume, this book offers a complete learning experience for creating eye-catching, top-selling Android applications.
