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16043Automatic Text Processing: The Transformation Analysis and Retrieval of Information by Computer (Addison-Wesley series in computer science)
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Automatic Text Processing: The Transformation Analysis and Retrieval of Information by Computer Read more... ]]>Wed, 15 Feb 2017 03:35:12 GMTAutomated Reasoning and Its Applications: Essays in Honor of Larry Wos
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The primary objective of automated reasoning (which includes automated deduction and automated theorem proving) is to develop computer programs that use logical reasoning for the solution of a wide variety of problems, including open questions. The essays in Automated Reasoning and Its Applications were written in honor of Larry Wos, one of the founders of the field. Wos played a central role in forming the "culture" of automated reasoning at Argonne National Laboratory. He and his colleagues consistently seek to build systems that search huge spaces for solutions to difficult problems and proofs of significant theorems. They have had numerous notable successes.The contributors are among the world's leading researchers in automated reasoning. Their essays cover the theory, software system design, and use of these systems to solve real problems.Contributors : Robert S. Boyer, Shang-Ching Chou, Xiao-Shan Gao, Lawrence Henschen, Deepak Kapur, Kenneth Kunen, Ewing Lusk, William McCune, J Strother Moore, Ross Overbeek, Lawrence C. Paulson, Hantao Zhang, Jing-Zhong Zhang. Read more... ]]>Wed, 15 Feb 2017 02:06:51 GMTPyramid Algorithms: A Dynamic Programming Approach to Curves and Surfaces for Geometric Modeling (The Morgan Kaufmann Series in Computer Graphics)
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Pyramid Algorithms presents a unique approach to understanding, analyzing, and computing the most common polynomial and spline curve and surface schemes used in computer-aided geometric design, employing a dynamic programming method based on recursive pyramids.
The recursive pyramid approach offers the distinct advantage of revealing the entire structure of algorithms, as well as relationships between them, at a glance. This book-the only one built around this approach-is certain to change the way you think about CAGD and the way you perform it, and all it requires is a basic background in calculus and linear algebra, and simple programming skills.
* Written by one of the world's most eminent CAGD researchers
* Designed for use as both a professional reference and a textbook, and addressed to computer scientists, engineers, mathematicians, theoreticians, and students alike
* Includes chapters on Bezier curves and surfaces, B-splines, blossoming, and multi-sided Bezier patches
* Relies on an easily understood notation, and concludes each section with both practical and theoretical exercises that enhance and elaborate upon the discussion in the text
* Foreword by Professor Helmut Pottmann, Vienna University of Technology Read more... ]]>Tue, 14 Feb 2017 18:30:12 GMTNumbers and Computers,2nd ed.
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This is a book about numbers and how those numbers are represented in and operated on by computers. It is crucial that developers understand this area because the numerical operations allowed by computers, and the limitations of those operations, especially in the area of floating point math, affect virtually everything people try to do with computers.
This book aims to fill this gap by exploring, in sufficient but not overwhelming detail, just what it is that computers do with numbers.
Divided into two parts, the first deals with standard representations of integers and floating point numbers, while the second examines several other number representations. Details are explained thoroughly, with clarity and specificity. Each chapter ends with a summary, recommendations, carefully selected references, and exercises to review the key points. Topics covered include interval arithmetic, fixed-point numbers, big integers and rational arithmetic. This new edition has three new chapters: Pitfalls of Floating-Point Numbers (and How to Avoid Them), Arbitrary Precision Floating Point, and Other Number Systems.
This book is for anyone who develops software including software engineers, scientists, computer science students, engineering students and anyone who programs for fun.
Read more... ]]>Sun, 12 Feb 2017 12:04:35 GMTNumbers and Computers
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This is a book about numbers and how those numbers are represented in and operated on by computers. It is crucial that developers understand this area because the numerical operations allowed by computers, and the limitations of those operations, especially in the area of floating point math, affect virtually everything people try to do with computers. This book aims to fill this gap by exploring, in sufficient but not overwhelming detail, just what it is that computers do with numbers.
Divided into two parts, the first deals with standard representations of integers and floating point numbers, while the second details several other number representations. Each chapter ends with exercises to review the key points. Topics covered include interval arithmetic, fixed-point numbers, floating point numbers, big integers and rational arithmetic.
This book is for anyone who develops software including software engineerings, scientists, computer science students, engineering students and anyone who programs for fun. Read more... ]]>Sun, 12 Feb 2017 12:03:27 GMTFast Software Encryption: 11th International Workshop, FSE 2004, Delhi, India, February 5-7, 2004, Revised Papers (Lecture Notes in Computer Science)
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2.1 Di?erential Power Analysis Di?erential Power Analysis (DPA) was introduced by Kocher, Ja?e and Jun in 1998 [13] and published in 1999 [14]. The basic idea is to make use of potential correlations between the data handled by the micro-controller and the electric consumption measured values. Since these correlations are often very low, s- tistical methods must be applied to deduce su?cient information from them. Read more... ]]>Sat, 11 Feb 2017 21:49:03 GMTComputational Logic: Logic Programming and Beyond: Essays in Honour of Robert A. Kowalski, Part I (Lecture Notes in Computer Science)
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Alan Robinson This set of essays pays tribute to Bob Kowalski on his 60th birthday, an anniversary which gives his friends and colleagues an excuse to celebrate his career as an original thinker, a charismatic communicator, and a forceful intellectual leader. Read more... ]]>Sat, 11 Feb 2017 21:31:30 GMTCONCUR 2010 - Concurrency Theory: 21th International Conference, CONCUR 2010, Paris, France, August 31-September 3, 2010, Proceedings (Lecture Notes in Computer Science)
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The topics include: - Basic models of concurrency such as abstract machines, domain theoretic models, game theoretic models, process algebras, and Petri nets. - Logics for concurrency such as modal logics, probabilistic and stochastic logics, temporal logics, and resource logics. - Models of specialized systems such as biology-inspired systems, circuits, hybrid systems, mobile and collaborative systems, multi-core processors, probabilistic systems, real-time systems, service-oriented computing, and synchronous systems. - Verification and analysis techniques for concurrent systems such as abstract interpretation, atomicity checking, model checking, race detection, pre-order and equivalence checking and run-time verification. Read more... ]]>Fri, 10 Feb 2017 06:01:19 GMTClassical and New Paradigms of Computation and their Complexity Hierarchies: Papers of the conference 'Foundations of the Formal Sciences III' (Trends in Logic)
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The notion of complexity is an important contribution of logic to theoretical computer science and mathematics. This volume attempts to approach complexity in a holistic way, investigating mathematical properties of complexity hierarchies at the same time as discussing algorithms and computational properties. Read more... ]]>Wed, 08 Feb 2017 13:33:13 GMTCombinatorial Algorithms: 20th International Workshop, IWOCA 2009, Hradec nad Moravici, Czech Republic, June 28 July 2, 2009, Revised Selected Papers ... Computer Science and General Issues)
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This book constitutes the revised selected papers of the 20th International Workshop on Combinatorial Algorithms, held in June/July 2009 in the castle of Hradec nad Moravici, Czech Republic.
The 41 papers included in this volume together with 5 invited papers were carefully reviewed and selected from over 100 submissions. The topics dealt with are algorithms and data structures, applications, combinatorial enumeration, combinatorial optimization, complexity theory, computational biology, databases, decompositions and combinatorial designs, discrete and computational geometry, including graph drawing, and graph theory and combinatorics. Read more... ]]>Fri, 27 Jan 2017 22:41:08 GMTData Structures and Algorithms Made Easy: Data Structures and Algorithmic Puzzles, Fifth Edition
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Data Structures And Algorithms Made Easy: Data Structure And Algorithmic Puzzles" is a book that offers solutions to complex data structures and algorithms. There are multiple solutions for each problem and the book is coded in C/C++, it comes handy as an interview and exam guide for computer scientists.
A handy guide of sorts for any computer science professional, Data Structures And Algorithms Made Easy: Data Structure And Algorithmic Puzzles is a solution bank for various complex problems related to data structures and algorithms. It can be used as a reference manual by those readers in the computer science industry.
The book has around 21 chapters and covers Recursion and Backtracking, Linked Lists, Stacks, Queues,Trees, Priority Queue and Heaps, Disjoint Sets ADT, Graph Algorithms, Sorting, Searching, Selection Algorithms [Medians], Symbol Tables, Hashing, String Algorithms, Algorithms Design Techniques, Greedy Algorithms, Divide and Conquer Algorithms, Dynamic Programming, Complexity Classes, and other Miscellaneous Concepts.
Data Structures And Algorithms Made Easy: Data Structure And Algorithmic Puzzles by Narasimha Karumanchi was published in March, and it is coded in C/C++ language. This book serves as guide to prepare for interviews, exams, and campus work. It is also available in Java. In short, this book offers solutions to various complex data structures and algorithmic problems. Read more... ]]>Fri, 27 Jan 2017 19:51:57 GMTPractical Analysis of Algorithms (Undergraduate Topics in Computer Science)
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Analysis of algorithms plays an essential role in the education and training of any serious programmer preparing to deal with real world applications.
Practical Analysis of Algorithms introduces the essential concepts of algorithm analysis required by core undergraduate and graduate computer science courses, in addition to providing a review of the fundamental mathematical notions necessary to understand these concepts. Throughout the text, the explanations are aimed at the level of understanding of a typical upper-level student, and are accompanied by detailed examples and classroom-tested exercises.
Topics and features:
* Includes numerous fully-worked examples and step-by-step proofs, assuming no strong mathematical background
* Describes the foundation of the analysis of algorithms theory in terms of the big-Oh, Omega, and Theta notations
* Examines recurrence relations, a very important tool used in the analysis of algorithms
* Discusses the concepts of basic operation, traditional loop counting, and best case and worst case complexities
* Reviews various algorithms of a probabilistic nature, and uses elements of probability theory to compute the average complexity of algorithms such as Quicksort
* Introduces a variety of classical finite graph algorithms, together with an analysis of their complexity
* Provides an appendix on probability theory, reviewing the major definitions and theorems used in the book
This clearly-structured and easy-to-read textboo Read more... ]]>Fri, 27 Jan 2017 12:03:50 GMTCoding Interview Questions, 3rd Edition
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1475293534 "Coding Interview Questions" is a book that presents interview questions in simple and straightforward manner with a clear-cut explanation. This book will provide an introduction to the basics. It comes handy as an interview and exam guide for computer scientists. Read more... ]]>Thu, 26 Jan 2017 20:02:24 GMTEvolutionary Algorithms in Engineering and Computer Science: Recent Advances in Genetic Algorithms, Evolution Strategies, Evolutionary Programming, Genetic Programming and Industrial Applications
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What is Evolutionary Computing? Based on the genetic message encoded in DNA, and digitalized algorithms inspired by the Darwinian framework of evolution by natural selection, Evolutionary Computing is one of the most important information technologies of our times. Evolutionary algorithms encompass all adaptive and computational models of natural evolutionary systems - genetic algorithms, evolution strategies, evolutionary programming and genetic programming. In addition, they work well in the search for global solutions to optimization problems, allowing the production of optimization software that is robust and easy to implement. Furthermore, these algorithms can easily be hybridized with traditional optimization techniques. This book presents state-of-the-art lectures delivered by international academic and industrial experts in the field of evolutionary computing. It bridges artificial intelligence and scientific computing with a particular emphasis on real-life problems encountered in application-oriented sectors, such as aerospace, electronics, telecommunications, energy and economics. This rapidly growing field, with its deep understanding and assesssment of complex problems in current practice, provides an effective, modern engineering tool. This book will therefore be of significant interest and value to all postgraduates, research scientists and practitioners facing complex optimization problems. Read more... ]]>Wed, 25 Jan 2017 00:19:30 GMTEvolutionary Algorithms for Solving Multi-Objective Problems (Genetic Algorithms and Evolutionary Computation)
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The solving of multi-objective problems (MOPs) has been a continuing effort by humans in many diverse areas, including computer science, engineering, economics, finance, industry, physics, chemistry, and ecology, among others. Many powerful and deterministic and stochastic techniques for solving these large dimensional optimization problems have risen out of operations research, decision science, engineering, computer science and other related disciplines. The explosion in computing power continues to arouse extraordinary interest in stochastic search algorithms that require high computational speed and very large memories. A generic stochastic approach is that of evolutionary algorithms (EA). Such algorithms have been demonstrated to be very powerful and generally applicable for solving different single objective problems. Their fundamental algorithmic structures can also be applied to solving many multi-objective problems. In this book, the various features of multi-objective evolutionary algorithms (MOEAs) are presented in an innovative and unique fashion, with detailed customized forms suggested for a variety of applications. Also, extensive MOEA discussion questions and possible research directions are presented at the end of each chapter.
For additional information and supplementary teaching materials, please visit the authors' website at http://www.cs.cinvestav.mx/~EVOCINV/bookinfo.html.
Read more... ]]>Tue, 24 Jan 2017 23:48:19 GMTGenetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications (Numerical Insights)
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Genetic Algorithms and Genetic Programming: Modern Concepts and Practical Applications discusses algorithmic developments in the context of genetic algorithms (GAs) and genetic programming (GP). It applies the algorithms to significant combinatorial optimization problems and describes structure identification using HeuristicLab as a platform for algorithm development.
The book focuses on both theoretical and empirical aspects. The theoretical sections explore the important and characteristic properties of the basic GA as well as main characteristics of the selected algorithmic extensions developed by the authors. In the empirical parts of the text, the authors apply GAs to two combinatorial optimization problems: the traveling salesman and capacitated vehicle routing problems. To highlight the properties of the algorithmic measures in the field of GP, they analyze GP-based nonlinear structure identification applied to time series and classification problems.
Written by core members of the HeuristicLab team, this book provides a better understanding of the basic workflow of GAs and GP, encouraging readers to establish new bionic, problem-independent theoretical concepts. By comparing the results of standard GA and GP implementation with several algorithmic extensions, it also shows how to substantially increase achievable solution quality.
Read more... ]]>Tue, 24 Jan 2017 17:42:49 GMTGenetic Algorithms and Genetic Programming in Computational Finance
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After a decade of development, genetic algorithms and genetic programming have become a widely accepted toolkit for computational finance. Genetic Algorithms and Genetic Programming in Computational Finance is a pioneering volume devoted entirely to a systematic and comprehensive review of this subject. Chapters cover various areas of computational finance, including financial forecasting, trading strategies development, cash flow management, option pricing, portfolio management, volatility modeling, arbitraging, and agent-based simulations of artificial stock markets. Two tutorial chapters are also included to help readers quickly grasp the essence of these tools. Finally, a menu-driven software program, Simple GP, accompanies the volume, which will enable readers without a strong programming background to gain hands-on experience in dealing with much of the technical material introduced in this work.
Read more... ]]>Tue, 24 Jan 2017 17:40:46 GMTPattern Mining with Evolutionary Algorithms (Springer)
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Authors: Ventura, Sebastin, Luna, Jos Mara
Covers the use of Evolutionary Computation techniques to pattern mining problems
Uses algorithms that have been integrated into the well-known WEKA software for free use
Offers formal definitions about patterns, patterns mining, type of patterns and the usefulness of patterns in the knowledge discovery process
This book provides a comprehensive overview of the field of pattern mining with evolutionary algorithms. To do so, it covers formal definitions about patterns, patterns mining, type of patterns and the usefulness of patterns in the knowledge discovery process. As it is described within the book, the discovery process suffers from both high runtime and memory requirements, especially when high dimensional datasets are analyzed. To solve this issue, many pruning strategies have been developed. Nevertheless, with the growing interest in the storage of information, more and more datasets comprise such a dimensionality that the discovery of interesting patterns becomes a challenging process. In this regard, the use of evolutionary algorithms for mining pattern enables the computation capacity to be reduced, providing sufficiently good solutions.
This book offers a survey on evolutionary computation with particular emphasis on genetic algorithms and genetic programming. Also included is an analysis of the set of quality measures most widely used in the field of pattern mining with evolutionary algorithms. This book serves as a Read more... ]]>Tue, 24 Jan 2017 12:38:07 GMTMultiple Instance Learning: Foundations and Algorithms
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This book provides a general overview of multiple instance learning (MIL), defining the framework and covering the central paradigms. The authors discuss the most important algorithms for MIL such as classification, regression and clustering. With a focus on classification, a taxonomy is set and the most relevant proposals are specified. Efficient algorithms are developed to discover relevant information when working with uncertainty. Key representative applications are included.
This book carries out a study of the key related fields of distance metrics and alternative hypothesis. Chapters examine new and developing aspects of MIL such as data reduction for multi-instance problems and imbalanced MIL data. Class imbalance for multi-instance problems is defined at the bag level, a type of representation that utilizes ambiguity due to the fact that bag labels are available, but the labels of the individual instances are not defined.
Additionally, multiple instance multiple label learning is explored. This learning framework introduces flexibility and ambiguity in the object representation providing a natural formulation for representing complicated objects. Thus, an object is represented by a bag of instances and is allowed to have associated multiple class labels simultaneously.
This book is suitable for developers and engineers working to apply MIL techniques to solve a variety of real-world problems. It is also useful for researchers or students seeking a thorough Read more... ]]>Tue, 24 Jan 2017 12:34:13 GMTGenetic Programming: 19th European Conference, EuroGP 2016, Porto, Portugal, March 30 - April 1, 2016, Proceedings (Springer Lecture Notes in Computer Science)
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This book constitutes the refereed proceedings of the 19th European Conference on Genetic Programming, EuroGP 2016, held in Porto, Portugal, in March/April 2016 co-located with the Evo*2016 events: EvoCOP, EvoMUSART, and EvoApplications.
The 11 revised full papers presented together with 8 poster papers were carefully reviewed and selected from 36 submissions. The wide range of topics in this volume reflects the current state of research in the field. Thus, we see topics as diverse as semantic methods, recursive programs, grammatical methods, coevolution, Cartesian GP, feature selection, metaheuristics, evolvability, and fitness predictors and applications including image processing, one-class classification, SQL injection attacks, numerical modelling, streaming data classification, creation and optimisation of circuits, multi-class classification, scheduling in manufacturing and wireless networks. Read more... ]]>Tue, 24 Jan 2017 12:30:18 GMTGenetic Programming: 18th European Conference, EuroGP 2015, Copenhagen, Denmark, April 8-10, 2015, Proceedings (Springer Lecture Notes in Computer Science)
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This book constitutes the refereed proceedings of the 18th European Conference on Genetic Programming, EuroGP 2015, held in Copenhagen, Spain, in April 2015 co-located with the Evo 2015 events, EvoCOP, Evo MUSART and Evo Applications. The 12 revised full papers presented together with 6 poster papers were carefully reviewed and selected form 36 submissions. The wide range of topics in this volume reflects the current state of research in the field. Thus, we see topics as diverse as semantic methods, recursive programs, grammatical methods, coevolution, Cartesian GP, feature selection, initialisation procedures, ensemble methods and search objectives and applications including text processing, cryptography, numerical modelling, software parallelisation, creation and optimisation of circuits, multi-class classification, scheduling and artificial intelligence. Read more... ]]>Tue, 24 Jan 2017 12:23:23 GMTLinear Genetic Programming (Springer Genetic and Evolutionary Computation)
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Linear Genetic Programming examines the evolution of imperative computer programs written as linear sequences of instructions. In contrast to functional expressions or syntax trees used in traditional Genetic Programming (GP), Linear Genetic Programming (LGP) employs a linear program structure as genetic material whose primary characteristics are exploited to achieve acceleration of both execution time and evolutionary progress. Online analysis and optimization of program code lead to more efficient techniques and contribute to a better understanding of the method and its parameters. In particular, the reduction of structural variation step size and non-effective variations play a key role in finding higher quality and less complex solutions. This volume investigates typical GP phenomena such as non-effective code, neutral variations and code growth from the perspective of linear GP.
The text is divided into three parts, each of which details methodologies and illustrates applications. Part I introduces basic concepts of linear GP and presents efficient algorithms for analyzing and optimizing linear genetic programs during runtime. Part II explores the design of efficient LGP methods and genetic operators inspired by the results achieved in Part I. Part III investigates more advanced techniques and phenomena, including effective step size control, diversity control, code growth, and neutral variations.
The book provides a solid introduction to the field of linear GP, as Read more... ]]>Tue, 24 Jan 2017 12:15:55 GMTSyntactic Pattern Recognition and Applications (Prentice-Hall advances in computing science and technology series)
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During the past two decades there has been a considerable growth of interest in problems of pattern recognition. This interest has created an increasing need of methods for use in the design of pattern recognition systems. Many different approaches have been proposed and a number of books have been published. Applications of pattern recognition include character recognition, target detection and identification, medical diagnosis, analysis of biomedical signals and images, remote sensing, speech recognition and understanding, identification of human faces and fingerprints, reliability, industrial automation (machine part recognition and automatic inspection), socioeconomics, and archaeology.
The many different techniques used to solve pattern recognition problems may be grouped into two general approaches: the decision-theoretic (or discriminant) approach and the syntactic (or structural) approach. This book treats the problems of pattern recognition and its applications by use of the syntactic approach. It describes theoretical methods as well as important applications. The book is intended to be of use both as a reference for system engineers and computer scientists and as a textbook for courses in pattern recognition. The presentation is kept concise, and background knowledge on formal languages and syntax analysis is included. Read more... ]]>Mon, 23 Jan 2017 23:37:43 GMTDynamic Programming for Coding Interviews: A Bottom-Up approach to problem solving
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I wanted to compute 80th term of the Fibonacci series. I wrote the rampant recursive function,
int fib(int n){
return (1==n || 2==n) ? 1 : fib(n-1) + fib(n-2)
}
and waited for the result. I wait… and wait… and wait…
With an 8GB RAM and an Intel i5 CPU, why is it taking so long? I terminated the process and tried computing the 40th term. It took about a second. I put a check and was shocked to find that the above recursive function was called 204,668,309 times while computing the 40th term.
More than 200 million times? Is it reporting function calls or scam of some government?
The Dynamic Programming solution computes 100th Fibonacci term in less than fraction of a second, with a single function call, taking linear time and constant extra memory.
A recursive solution, usually, neither pass all test cases in a coding competition, nor does it impress the interviewer in an interview of company like Google, Microsoft, etc.
The most difficult questions asked in competitions and interviews, are from dynamic programming. This book takes Dynamic Programming head-on. It first explain the concepts with simple examples and then deep dives into complex DP problems. Read more... ]]>Mon, 23 Jan 2017 07:45:12 GMTDesign and Analysis of Randomized Algorithms: Introduction to Design Paradigms (Texts in Theoretical Computer Science. An EATCS Series)
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Randomness is a powerful phenomenon that can be harnessed to solve various problems in all areas of computer science. Randomized algorithms are often more efficient, simpler and, surprisingly, also more reliable than their deterministic counterparts. Computing tasks exist that require billions of years of computer work when solved using the fastest known deterministic algorithms, but they can be solved using randomized algorithms in a few minutes with negligible error probabilities.
Introducing the fascinating world of randomness, this book systematically teaches the main algorithm design paradigms – foiling an adversary, abundance of witnesses, fingerprinting, amplification, and random sampling, etc. – while also providing a deep insight into the nature of success in randomization. Taking sufficient time to present motivations and to develop the reader's intuition, while being rigorous throughout, this text is a very effective and efficient introduction to this exciting field. Read more... ]]>Thu, 19 Jan 2017 10:28:59 GMTMultiobjective Genetic Algorithms for Clustering: Applications in Data Mining and Bioinformatics (Springer)
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This is the first book primarily dedicated to clustering using multiobjective genetic algorithms with extensive real-life applications in data mining and bioinformatics. The authors first offer detailed introductions to the relevant techniques – genetic algorithms, multiobjective optimization, soft computing, data mining and bioinformatics. They then demonstrate systematic applications of these techniques to real-world problems in the areas of data mining, bioinformatics and geoscience. The authors offer detailed theoretical and statistical notes, guides to future research, and chapter summaries. The book can be used as a textbook and as a reference book by graduate students and academic and industrial researchers in the areas of soft computing, data mining, bioinformatics and geoscience. Read more... ]]>Wed, 18 Jan 2017 12:55:29 GMTUnsupervised Classification: Similarity Measures, Classical and Metaheuristic Approaches and Applications
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Clustering is an important unsupervised classification technique where data points are grouped such that points that are similar in some sense belong to the same cluster. Cluster analysis is a complex problem as a variety of similarity and dissimilarity measures exist in the literature.
This is the first book focused on clustering with a particular emphasis on symmetry-based measures of similarity and metaheuristic approaches. The aim is to find a suitable grouping of the input data set so that some criteria are optimized, and using this the authors frame the clustering problem as an optimization one where the objectives to be optimized may represent different characteristics such as compactness, symmetrical compactness, separation between clusters, or connectivity within a cluster. They explain the techniques in detail and outline many detailed applications in data mining, remote sensing and brain imaging, gene expression data analysis, and face detection.
The book will be useful to graduate students and researchers in computer science, electrical engineering, system science, and information technology, both as a text and as a reference book. It will also be useful to researchers and practitioners in industry working on pattern recognition, data mining, soft computing, metaheuristics, bioinformatics, remote sensing, and brain imaging. Read more... ]]>Wed, 18 Jan 2017 10:57:39 GMTData Structures and Algorithms Made Easy: Data Structure and Algorithmic Puzzles
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"Data Structures And Algorithms Made Easy: Data Structure And Algorithmic Puzzles" is a book that offers solutions to complex data structures and algorithms. There are multiple solutions for each problem and the book is coded in C/C++, it comes handy as an interview and exam guide for computer scientists.
A handy guide of sorts for any computer science professional, Data Structures And Algorithms Made Easy: Data Structure And Algorithmic Puzzles is a solution bank for various complex problems related to data structures and algorithms. It can be used as a reference manual by those readers in the computer science industry.
The book has around 21 chapters and covers Recursion and Backtracking, Linked Lists, Stacks, Queues,Trees, Priority Queue and Heaps, Disjoint Sets ADT, Graph Algorithms, Sorting, Searching, Selection Algorithms [Medians], Symbol Tables, Hashing, String Algorithms, Algorithms Design Techniques, Greedy Algorithms, Divide and Conquer Algorithms, Dynamic Programming, Complexity Classes, and other Miscellaneous Concepts.
Data Structures And Algorithms Made Easy: Data Structure And Algorithmic Puzzles by Narasimha Karumanchi was published in March, and it is coded in C/C++ language. This book serves as guide to prepare for interviews, exams, and campus work. It is also available in Java. In short, this book offers solutions to various complex data structures and algorithmic problems.
Read more... ]]>Sun, 15 Jan 2017 18:07:28 GMTAugmented Vision Perception in Infrared: Algorithms and Applied Systems
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Spurred by security and safety challenges, research efforts in thermographic sensors have advanced greatly, resulting in better performance in remote surveillance, object recognition, guidance and so on.
This comprehensive survey provides a thorough account of the recent deployment of infrared sensors in modern applications of computer vision, as well as in-depth descriptions of the world’s best machine vision algorithms and intelligent analytics. The book will help readers understand the motivations, activities, trends and directions of researchers and engineers in the machine-perception field, and offers them a view of the future in this rapidly evolving area.
Features:
• Offers an up-to-date and in-depth coverage of theoretical and experimental work in sub-areas of machine perception in infrared, thermal, hyperspectral, intensified and laser imagery
• Highlights new trends and directions in the field of applied machine vision *beyond* the visible spectrum
• Covers applications including homeland security, public transportation, surveillance, medical and military
• Emphasizes the merging of machine perception applications and non-visual imaging in intensified, near infrared, thermal infrared, laser, polarimetric and hyperspectral bands
• Presents advanced techniques for identifying unique infrared signatures and classifying small-resolution objects above and under the soil
• Focuses on describing successful non-contact, thermal video analysis Read more... ]]>Sat, 14 Jan 2017 23:06:22 GMTMolecular Simulation of Fluids: Theory, Algorithms and object orientation
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Molecular Simulation of Fluids: Theory, Algorithms and object orientation Read more... ]]>Sat, 14 Jan 2017 23:00:03 GMTMolecular Simulation of Fluids
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An examination of some of the most important recent progress in molecular simulation for investigating fluids. This work covers both Monte Carlo and molecular dynamics techniques and sample simulation C++ code is provided on the accompanying diskette.
Read more... ]]>Sat, 14 Jan 2017 22:57:35 GMTAlgorithms and Models for Network Data and Link Analysis
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Network data are produced automatically by everyday interactions - social networks, power grids, and links between data sets are a few examples. Such data capture social and economic behavior in a form that can be analyzed using powerful computational tools. This book is a guide to both basic and advanced techniques and algorithms for extracting useful information from network data. The content is organized around 'tasks', grouping the algorithms needed to gather specific types of information and thus answer specific types of questions. Examples include similarity between nodes in a network, prestige or centrality of individual nodes, and dense regions or communities in a network. Algorithms are derived in detail and summarized in pseudo-code. The book is intended primarily for computer scientists, engineers, statisticians and physicists, but it is also accessible to network scientists based in the social sciences.
Read more... ]]>Sat, 14 Jan 2017 00:55:34 GMTAlgorithms and Computation: 21st International Symposium, ISAAC 2010, Jeju Island, Korea, December 15-17, 2010, Proceedings, Part I (Lecture Notes in ... Computer Science and General Issues)
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Product Description: This book constitutes the refereed proceedings of the 21st International Symposium on Algorithms and Computation, ISAAC 2010, held in Jeju, South Korea in December 2010. The 77 revised full papers presented were carefully reviewed and selected from 182 submissions for inclusion in the book. This volume contains topics such as approximation algorithm complexity data structure and algorithm combinatorial optimization graph algorithm computational geometry graph coloring fixed parameter tractability optimization online algorithm and scheduling. Read more... ]]>Sun, 08 Jan 2017 23:39:55 GMTAlgorithm Collections for Digital Signal Processing Applications Using Matlab
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The Algorithms such as SVD, Eigen decomposition, Gaussian Mixture Model, HMM etc. are presently scattered in different fields. There remains a need to collect all such algorithms for quick reference. Also there is the need to view such algorithms in application point of view. This book attempts to satisfy the above requirement. The algorithms are made clear using MATLAB programs.
Read more... ]]>Fri, 06 Jan 2017 13:50:47 GMTAnalysis of the MPEG-1 Layer III (MP3) Algorithm Using MATLAB (Synthesis Lectures on Algorithms and Software in Engineering)
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Product Description: The MPEG-1 Layer III (MP3) algorithm is one of the most successful audio formats for consumer audio storage and for transfer and playback of music on digital audio players. The MP3 compression standard along with the AAC (Advanced Audio Coding) algorithm are associated with the most successful music players of the last decade. This book describes the fundamentals and the MATLAB implementation details of the MP3 algorithm. Several of the tedious processes in MP3 are supported by demonstrations using MATLAB software. The book presents the theoretical concepts and algorithms used in the MP3 standard. The implementation details and simulations with MATLAB complement the theoretical principles. The extensive list of references enables the reader to perform a more detailed study on specific aspects of the algorithm and gain exposure to advancements in perceptual coding.
Table of Contents: Introduction / Analysis Subband Filter Bank / Psychoacoustic Model II / MDCT / Bit Allocation, Quantization and Coding / Decoder Read more... ]]>Fri, 06 Jan 2017 13:48:44 GMTAlgorithm Theory - SWAT 2010: 12th Scandinavian Workshop on Algorithm Theory, Bergen, Norway, June 21-23, 2010. Proceedings (Lecture Notes in Computer ... Computer Science and General Issues)
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This book constitutes the proceedings of the 12th International Scandinavian Workshop on Algorithm Theory, held in Bergen, Norway in June 2010. Read more... ]]>Wed, 04 Jan 2017 22:36:57 GMTAlgorithms and Architectures for Parallel Processing, Part I: 11th International Conference, ICA3PP 2011, Melbourne, Australia,October 24-26, 2011, ... Computer Science and General Issues)
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This two volume set LNCS 7016 and LNCS 7017 constitutes the refereed proceedings of the 11th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2011, held in Melbourne, Australia, in October 2011. The first volume presents 24 revised regular papers and 17 revised short papers together with the abstract of the keynote lecture - all carefully reviewed and selected from 85 initial submissions. The papers cover the many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental results, and commercial components and systems and focus on two broad areas of parallel and distributed computing, i.e., architectures, algorithms and networks, and systems and applications.
Read more... ]]>Wed, 04 Jan 2017 22:35:02 GMTAlgorithms and Complexity: 7th International Conference, CIAC 2010, Rome, Italy, May 26-28, 2010, Proceedings (Lecture Notes in Computer Science)
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This book constitutes the refereed proceedings of the 7th International Conference on Algorithms and Computation, CIAC 2010, held in Rome, Italy, in May 2010. The 30 revised full papers presented together with 3 invited papers were carefully reviewed and selected from 114 submissions. Among the topics addressed are graph algorithms I, computational complexity, graph coloring, tree algorithms and tree decompositions, computational geometry, game theory, graph algorithms II, and string algorithms. Read more... ]]>Wed, 04 Jan 2017 22:30:16 GMTThe Haskell School of Expression: Learning Functional Programming through Multimedia
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Functional programming is a style of programming that emphasizes the use of functions (in contrast to object-oriented programming, which emphasizes the use of objects). It has become popular in recent years because of its simplicity, conciseness, and clarity. This book teaches functional programming as a way of thinking and problem solving, using Haskell, the most popular purely functional language. Rather than using the conventional (boring) mathematical examples commonly found in other programming language textbooks, the author uses examples drawn from multimedia applications, including graphics, animation, and computer music, thus rewarding the reader with working programs for inherently more interesting applications. Aimed at both beginning and advanced programmers, this tutorial begins with a gentle introduction to functional programming and moves rapidly on to more advanced topics. Details about progamming in Haskell are presented in boxes throughout the text so they can be easily found and referred to. Read more... ]]>Sat, 31 Dec 2016 13:12:46 GMTEvolutionary Algorithms for Food Science and Technology
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Researchers and practitioners in food science and technology routinely face several challenges, related to sparseness and heterogeneity of data, as well as to the uncertainty in the measurements and the introduction of expert knowledge in the models. Evolutionary algorithms (EAs), stochastic optimization techniques loosely inspired by natural selection, can be effectively used to tackle these issues. In this book, we present a selection of case studies where EAs are adopted in real-world food applications, ranging from model learning to sensitivity analysis. Read more... ]]>Thu, 29 Dec 2016 20:06:38 GMTNumerical Analysis with Algorithms and Programming
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Numerical Analysis with Algorithms and Programming is the first comprehensive textbook to provide detailed coverage of numerical methods, their algorithms, and corresponding computer programs. It presents many techniques for the efficient numerical solution of problems in science and engineering.
Along with numerous worked-out examples, end-of-chapter exercises, and Mathematica programs, the book includes the standard algorithms for numerical computation:
Root finding for nonlinear equations
Interpolation and approximation of functions by simpler computational building blocks, such as polynomials and splines
The solution of systems of linear equations and triangularization
Approximation of functions and least square approximation
Numerical differentiation and divided differences
Numerical quadrature and integration
Numerical solutions of ordinary differential equations (ODEs) and boundary value problems
Numerical solution of partial differential equations (PDEs)
The text develops students understanding of the construction of numerical algorithms and the applicability of the methods. By thoroughly studying the algorithms, students will discover how various methods provide accuracy, efficiency, scalability, and stability for large-scale systems. Read more... ]]>Thu, 29 Dec 2016 10:09:46 GMTDisk-Based Algorithms for Big Data
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Disk-Based Algorithms for Big Data is a product of recent advances in the areas of big data, data analytics, and the underlying file systems and data management algorithms used to support the storage and analysis of massive data collections. The book discusses hard disks and their impact on data management, since Hard Disk Drives continue to be common in large data clusters. It also explores ways to store and retrieve data though primary and secondary indices. This includes a review of different in-memory sorting and searching algorithms that build a foundation for more sophisticated on-disk approaches like mergesort, B-trees, and extendible hashing.
Following this introduction, the book transitions to more recent topics, including advanced storage technologies like solid-state drives and holographic storage peer-to-peer (P2P) communication large file systems and query languages like Hadoop/HDFS, Hive, Cassandra, and Presto and NoSQL databases like Neo4j for graph structures and MongoDB for unstructured document data.
Designed for senior undergraduate and graduate students, as well as professionals, this book is useful for anyone interested in understanding the foundations and advances in big data storage and management, and big data analytics. Read more... ]]>Thu, 29 Dec 2016 09:39:00 GMTBig Data in Complex and Social Networks (Chapman <![CDATA[&]]> Hall/CRC Big Data Series)
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This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks. The book consists of four parts, covering a wide range of topics.
The first part of the book focuses on data storage and data processing. It explores how the efficient storage of data can fundamentally support intensive data access and queries, which enables sophisticated analysis. It also looks at how data processing and visualization help to communicate information clearly and efficiently. The second part of the book is devoted to the extraction of essential information and the prediction of web content. The book shows how Big Data analysis can be used to understand the interests, location, and search history of users and provide more accurate predictions of User Behavior.
The latter two parts of the book cover the protection of privacy and security, and emergent applications of big data and social networks. It analyzes how to model rumor diffusion, identify misinformation from massive data, and design intervention strategies. Applications of big data and social networks in multilayer networks and multiparty systems are also covered in-depth. Read more... ]]>Thu, 29 Dec 2016 08:28:10 GMTThe Human Element of Big Data: Issues, Analytics, and Performance
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The proposed book talks about the participation of human in Big Data.How human as a component of system can help in making the decision process easier and vibrant.It studies the basic build structure for big data and also includes advanced research topics.In the field of Biological sciences, it comprises genomic and proteomic data also. The book swaps traditional data management techniques with more robust and vibrant methodologies that focus on current requirement and demand through human computer interfacing in order to cope up with present business demand. Overall, the book is divided in to five parts where each part contains 4-5 chapters on versatile domain with human side of Big Data. Read more... ]]>Thu, 29 Dec 2016 08:14:02 GMTAlgorithms for Data Science
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This textbook on practical data analytics unites fundamental principles, algorithms, and data. Algorithms are the keystone of data analytics and the focal point of this textbook. Clear and intuitive explanations of the mathematical and statistical foundations make the algorithms transparent. But practical data analytics requires more than just the foundations. Problems and data are enormously variable and only the most elementary of algorithms can be used without modification. Programming fluency and experience with real and challenging data is indispensable and so the reader is immersed in Python and R and real data analysis. By the end of the book, the reader will have gained the ability to adapt algorithms to new problems and carry out innovative analyses.
This book has three parts:
(a) Data Reduction: Begins with the concepts of data reduction, data maps, and information extraction. The second chapter introduces associative statistics, the mathematical foundation of scalable algorithms and distributed computing. Practical aspects of distributed computing is the subject of the Hadoop and MapReduce chapter.
(b) Extracting Information from Data: Linear regression and data visualization are the principal topics of Part II. The authors dedicate a chapter to the critical domain of Healthcare Analytics for an extended example of practical data analytics. The algorithms and analytics will be of much interest to practitioners interested in utilizing the large and unwieldly data Read more... ]]>Tue, 27 Dec 2016 11:00:04 GMTAlgorithms and Architectures for Parallel Processing: ICA3PP 2016 Collocated Workshops: SCDT, TAPEMS, BigTrust, UCER, DLMCS, Granada, Spain, December ... (Lecture Notes in Computer Science)
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This book constitutes the refereed workshop proceedings of the 16th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2016, held in Granada, Spain, in December 2016. The 30 full papers presented were carefully reviewed and selected from 58 submissions. They cover many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental projects, and commercial components and systems trying to push beyond the limits of existing technologies, including experimental efforts, innovative systems, and investigations that identify weaknesses in existing parallel processing technology. Read more... ]]>Mon, 26 Dec 2016 19:36:47 GMTMethods of Optimization and Systems Analysis for Problems of Transcomputational Complexity (Springer Optimization and Its Applications)
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This work presents lines of investigation and scientific achievements of the Ukrainian school of optimization theory and adjacent disciplines. These include the development of approaches to mathematical theories, methodologies, methods, and application systems for the solution of applied problems in economy, finances, energy saving, agriculture, biology, genetics, environmental protection, hardware and software engineering, information protection, decision making, pattern recognition, self-adapting control of complicated objects, personnel training, etc. The methods developed include sequential analysis of variants, nondifferential optimization, stochastic optimization, discrete optimization, mathematical modeling, econometric modeling, solution of extremum problems on graphs, construction of discrete images and combinatorial recognition, etc. Some of these methods became well known in the world's mathematical community and are now known as classic methods. Read more... ]]>Sun, 25 Dec 2016 18:15:49 GMTInstant MapReduce Patterns Hadoop Essentials How-to
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MapReduce is a technology that enables users to process large datasets and Hadoop is an implementation of MapReduce. We are beginning to see more and more data becoming available, and this hides many insights that might hold key to success or failure. However, MapReduce has the ability to analyze this data and write code to process it.
Instant MapReduce Patterns: Hadoop Essentials How-to is a concise introduction to Hadoop and programming with MapReduce. It is aimed to get you started and give you an overall feel for programming with Hadoop so that you will have a well-grounded foundation to understand and solve all of your MapReduce problems as needed.
Instant MapReduce Patterns: Hadoop Essentials How-to will start with the configuration of Hadoop before moving on to writing simple examples and discussing MapReduce programming patterns.
We will start simply by installing Hadoop and writing a word count program. After which, we will deal with the seven styles of MapReduce programs: analytics, set operations, cross correlation, search, graph, Joins, and clustering. For each case, you will learn the pattern and create a representative example program. The book also provides you with additional pointers to further enhance your Hadoop skills.
This book is for big data enthusiasts and would-be Hadoop programmers. It is also meant for Java programmers who either have not worked with Hadoop at all, or who know Hadoop and MapReduce but are not sure how to deepen their und Read more... ]]>Thu, 22 Dec 2016 21:55:00 GMTSoft Computing for Reservoir Characterization and Modeling (Studies in Fuzziness and Soft Computing)
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In the middle of the 20th century, Genrich Altshuller, a Russian engineer, analysed hundreds of thousands of patents and scientific publications. From this analysis, he developed TRIZ (G. Altshuller, "40 Principles: TRIZ Keys to Technical Innovation. TRIZ Tools," Volume 1, First Edition, Technical Innovation Center, Inc. , Worcester, MA, January 1998 Y. Salamatov, "TRIZ: The Right Solution at the Right Time. A Guide to Innovative Problem Solving. " Insytec B. V. , 1999), the theory of inventive problem solving, together with a series of practical tools for helping engineers solving technical problems. Among these tools and theories, the substance-field theory gives a structured way of representing problems, the patterns of evolution show the lifecycle of technical systems, the contradiction matrix tells you how to resolve technical contradictions, using the forty principles that describe common ways of improving technical systems. For example, if you want to increase the strength of a device, without adding too much extra weight to it, the contradiction matrix tells you that you can use "Principle 1: Segmentation," or "Principle 8: Counterweight," or "Principle 15: Dynamicity," or "Principle 40: Composite Materials. " I really like two particular ones: "Principle 1: Segmentation," and Principle 15: Dynamicity. " "Segmentation" shows how systems evolve from an initial monolithic form into a set of independent parts, then eventually increasing the number of parts until each pa Read more... ]]>Tue, 20 Dec 2016 18:55:57 GMTAutomatic Algorithm Selection for Complex Simulation Problems
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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. Read more... ]]>Mon, 19 Dec 2016 17:06:36 GMT