FreeBookSpot Algorithms Latest Books
http://www.freebookspot.es
Latest books added todayen-usFreeBookSpot Algorithms http://www.freebookspot.es/logorss.jpg
http://www.freebookspot.es
16043Dynamic Programming for Coding Interviews: A Bottom-Up approach to problem solving
http://www.freebookspot.es/Comments.aspx?Element_ID=1035220
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)
http://www.freebookspot.es/Comments.aspx?Element_ID=1034249
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)
http://www.freebookspot.es/Comments.aspx?Element_ID=1033999
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
http://www.freebookspot.es/Comments.aspx?Element_ID=1033886
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
http://www.freebookspot.es/Comments.aspx?Element_ID=1033103
"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
http://www.freebookspot.es/Comments.aspx?Element_ID=1032784
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
http://www.freebookspot.es/Comments.aspx?Element_ID=1032783
Molecular Simulation of Fluids: Theory, Algorithms and object orientation Read more... ]]>Sat, 14 Jan 2017 23:00:03 GMTMolecular Simulation of Fluids
http://www.freebookspot.es/Comments.aspx?Element_ID=1032782
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 GMTLinear Programming and Algorithms for Communication Networks A Practical Guide to Network Design, Control, and Management
http://www.freebookspot.es/Comments.aspx?Element_ID=1032683
Explaining how to apply to mathematical programming to network design and control, Linear Programming and Algorithms for Communication Networks: A Practical Guide to Network Design, Control, and Management fills the gap between mathematical programming theory and its implementation in communication networks. From the basics all the way through to more advanced concepts, its comprehensive coverage provides readers with a solid foundation in mathematical programming for communication networks.
Addressing optimization problems for communication networks, including the shortest path problem, max flow problem, and minimum-cost flow problem, the book covers the fundamentals of linear programming and integer linear programming required to address a wide range of problems. It also:
Examines several problems on finding disjoint paths for reliable communications
Addresses optimization problems in optical wavelength-routed networks
Describes several routing strategies for maximizing network utilization for various traffic-demand models
Considers routing problems in Internet Protocol (IP) networks
Presents mathematical puzzles that can be tackled by integer linear programming (ILP)
Using the GNU Linear Programming Kit (GLPK) package, which is designed for solving linear programming and mixed integer programming problems, it explains typical problems and provides solutions for communication networks. The book provides algorithms for these problems as well as helpful examples wi Read more... ]]>Sat, 14 Jan 2017 17:05:07 GMTAlgorithms and Models for Network Data and Link Analysis
http://www.freebookspot.es/Comments.aspx?Element_ID=1032451
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)
http://www.freebookspot.es/Comments.aspx?Element_ID=1031023
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
http://www.freebookspot.es/Comments.aspx?Element_ID=1030610
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)
http://www.freebookspot.es/Comments.aspx?Element_ID=1030609
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)
http://www.freebookspot.es/Comments.aspx?Element_ID=1030111
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)
http://www.freebookspot.es/Comments.aspx?Element_ID=1030110
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)
http://www.freebookspot.es/Comments.aspx?Element_ID=1030109
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
http://www.freebookspot.es/Comments.aspx?Element_ID=1028700
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
http://www.freebookspot.es/Comments.aspx?Element_ID=1028102
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
http://www.freebookspot.es/Comments.aspx?Element_ID=1027720
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
http://www.freebookspot.es/Comments.aspx?Element_ID=1027692
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)
http://www.freebookspot.es/Comments.aspx?Element_ID=1027643
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
http://www.freebookspot.es/Comments.aspx?Element_ID=1027630
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
http://www.freebookspot.es/Comments.aspx?Element_ID=1026997
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)
http://www.freebookspot.es/Comments.aspx?Element_ID=1026765
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)
http://www.freebookspot.es/Comments.aspx?Element_ID=1026451
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
http://www.freebookspot.es/Comments.aspx?Element_ID=1025583
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)
http://www.freebookspot.es/Comments.aspx?Element_ID=1024615
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
http://www.freebookspot.es/Comments.aspx?Element_ID=1024197
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 GMTRelational Methods for Computer Science Applications (Studies in Fuzziness and Soft Computing)
http://www.freebookspot.es/Comments.aspx?Element_ID=1024136
This volume addresses all current aspects of relational methods and their applications in computer science. It presents a broad variety of fields and issues in which theories of relations provide conceptual or technical tools. The contributions address such subjects as relational methods in programming, relational constraints, relational methods in linguistics and spatial reasoning, relational modelling of uncertainty. All contributions provide the readers with new and original developments in the respective fields.
The reader thus gets an interdisciplinary spectrum of the state of the art of relational methods and implementation-oriented solutions of problems related to these areas. Read more... ]]>Mon, 19 Dec 2016 13:49:51 GMTMetadata Management in Statistical Information Processing: A Unified Framework for Metadata-Based Processing of Statistical Data Aggregates (Archives of Virology.)
http://www.freebookspot.es/Comments.aspx?Element_ID=1024135
As the integration of statistical data collected in various subject matter domains becomes more and more important in several socio-economic etc. investigation areas the management of so-called metadata a formal digital processing of information about data gains tremendously increasing relevance. Unlike current information technologies (e.g., database systems, computer networks, ) facilitating merely the technical side of data collation, a coherent integration of empirical data still remains cumbersome, and thus rather costly, very often because of a lack of powerful semantic data models capturing the very meaning and structure of statistical data sets. Recognizing this deficiency, "Metadata Management" proposes a general framework for the computer-aided integration and harmonization of distributed heterogeneous statistical data sources, aiming at a truly comprehensive statistical meta-information system. Read more... ]]>Mon, 19 Dec 2016 13:47:11 GMTRekonfiguration komponentenbasierter Softwaresysteme zur Laufzeit (Software Engineering Research) (German Edition)
http://www.freebookspot.es/Comments.aspx?Element_ID=1023221
Jasminka Matevska liefert einen modell- bzw. architekturbasierten Ansatz zur Planung und transaktionalen Durchfhrung einer Rekonfiguration komponentenbasierter Softwaresysteme zur Laufzeit unter voller Verfgbarkeit und mglichst geringer Beeinflussung der Reaktionsfhigkeit der Systemdienste. Sie legt verschiedene theoretische Konzepte vor und fhrt eine umfassende empirische Evaluation durch. Read more... ]]>Fri, 16 Dec 2016 17:27:37 GMTExample-Based Super Resolution
http://www.freebookspot.es/Comments.aspx?Element_ID=1022274
Example-Based Super Resolution provides a thorough introduction and overview of example-based super resolution, covering the most successful algorithmic approaches and theories behind them with implementation insights. It also describes current challenges and explores future trends.
Readers of this book will be able to understand the latest natural image patch statistical models and the performance limits of example-based super resolution algorithms, select the best state-of-the-art algorithmic alternative and tune it for specific use cases, and quickly put into practice implementations of the latest and most successful example-based super-resolution methods.
- Provides detailed coverage of techniques and implementation details that have been successfully introduced in diverse and demanding real-world applications
- Covers a wide variety of machine learning approaches, ranging from cross-scale self-similarity concepts and sparse coding, to the latest advances in deep learning
- Presents a statistical interpretation of the subspace of natural image patches that transcends super resolution and makes it a valuable source for any researcher on image processing or low-level vision Read more... ]]>Wed, 14 Dec 2016 21:17:43 GMTData Mining, Rough Sets and Granular Computing (Studies in Fuzziness and Soft Computing)
http://www.freebookspot.es/Comments.aspx?Element_ID=1022188
During the past few years, data mining has grown rapidly in visibility and importance within information processing and decision analysis. This is par ticularly true in the realm of e-commerce, where data mining is moving from a "nice-to-have" to a "must-have" status. In a different though related context, a new computing methodology called granular computing is emerging as a powerful tool for the conception, analysis and design of information/intelligent systems. In essence, data mining deals with summarization of information which is resident in large data sets, while granular computing plays a key role in the summarization process by draw ing together points (objects) which are related through similarity, proximity or functionality. In this perspective, granular computing has a position of centrality in data mining. Another methodology which has high relevance to data mining and plays a central role in this volume is that of rough set theory. Basically, rough set theory may be viewed as a branch of granular computing. However, its applications to data mining have predated that of granular computing. Read more... ]]>Wed, 14 Dec 2016 18:42:12 GMTDetection, Estimation, and Modulation Theory, Optimum Array Processing (Part IV)
http://www.freebookspot.es/Comments.aspx?Element_ID=1022074
This book provides a fundamental understanding of array processing that is ample preparation for research or implementation of actual array processing systems. It provides a comprehensive synthesis of the array processing literature and includes more than 2,000 references. Readers will find an extensive variety of models and criteria for study and comparison, realistic examples and practical applications of optimum algorithms, challenging problems that expand the book's material, and detailed derivations of important results. A supplemental Web site is available that contains MATLAB(r) scripts for most of the figures used in the book so readers can explore diverse scenarios. Read more... ]]>Wed, 14 Dec 2016 13:05:21 GMTMachine Learning for Health Informatics: State-of-the-Art and Future Challenges (Lecture Notes in Computer Science)
http://www.freebookspot.es/Comments.aspx?Element_ID=1020725
Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization.
Tackling complex challenges needs both disciplinary excellence and cross-disciplinary networking without any boundaries. Following the HCI-KDD approach, in combining the best of two worlds, it is aimed to support human intelligence with machine intelligence.
This state-of-the-art survey is an output of the international HCI-KDD expert network and features 22 carefully selected and peer-reviewed chapters on hot topics in machine learning for health informatics they discuss open problems and future challenges in order to stimulate further research and international progress in this field. Read more... ]]>Sun, 11 Dec 2016 12:39:38 GMTData Structure and Algorithmic Thinking with Python: Data Structure and Algorithmic Puzzles
http://www.freebookspot.es/Comments.aspx?Element_ID=1020628
The sample chapter should give you a very good idea of the quality and style of our book. In particular, be sure you are comfortable with the level and with our Python coding style. This book focuses on giving solutions for complex problems in data structures and algorithm. It even provides multiple solutions for a single problem, thus familiarizing readers with different possible approaches to the same problem.
"Data Structure and Algorithmic Thinking with Python" is designed to give a jump-start to programmers, job hunters and those who are appearing for exams. All the code in this book are written in Python. It contains many programming puzzles that not only encourage analytical thinking, but also prepares readers for interviews. This book, with its focused and practical approach, can help readers quickly pick up the concepts and techniques for developing efficient and effective solutions to problems.
Topics Covered:
Organization of chapters
Introduction
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
Miscellaneous Concepts Read more... ]]>Sun, 11 Dec 2016 07:43:45 GMTData Analysis: The Ins and Outs of Solving Real Problems (Competitive Methods in Operations Research and Data Analysis)
http://www.freebookspot.es/Comments.aspx?Element_ID=1019774
This book is the result of the fourth International Symposium on Data Analysis held on June 1985 at the Universite Libre de Bruxelles with the help'of the European Institute for Advanced Management. As the preceding ones, the organization of the Symposium started with a call for real life problems from which an International Com mittee selected six topics and asked for several solutions. These topics are : I) Multivariate and longitudinal data on growing children 2) Prehistoric assemblages and lithic artifacts from a small We- european area 3) A comparison of results of European elections 4) Classification of heterogeneous data related to microcomputers 5) Group technology in production management 6) Juvenile gelinquency They are covered by the S1X chapters of this book in the following systematic way : a) firstly, a presentation of the problem is given in the original context of the relevant discipline (Medicine, archaelogy, politics, marketing, production and education) b) Secondly, we present the solution found by people who presents the problem c) thirdly, we find the other retained solutions among the most significative ones v vi PREFACE d) finally, a short conclusion compares the different approaches. The diversity of the six selected problems clearly shows that Data Analysis can be used for solving a wide variety of problems. Moreover, the fact that each problem is approached by several dif ferent way - at least two - also shows that, in general, a "univer sal" stat Read more... ]]>Fri, 09 Dec 2016 17:32:29 GMTDECOMP: an Implementation of Dantzig-Wolfe Decomposition for Linear Programming (Lecture Notes in Economics and Mathematical Systems)
http://www.freebookspot.es/Comments.aspx?Element_ID=1019700
For linear optimization models that can be formulated as linear programs with the block-angular structure, i.e. independent subproblems with coupling constraints, the Dantzig-Wolfe decomposition principle provides an elegant framework of solution algorithms as well as economic interpretation. This monograph is the complete documentation of Decomp: a robust implementation of the Dantzig-Wolfe decomposition method in Fortran. The code can serve as a very convenient starting point for further investigation, both computational and economic, of parallelism in large-scale systems. It can also be used as supplemental material in a second course in linear programming, computational mathematical programming, or large-scale systems. Read more... ]]>Fri, 09 Dec 2016 14:14:30 GMTOptimization Techniques in Computer Vision: Ill-Posed Problems and Regularization (Advances in Computer Vision and Pattern Recognition)
http://www.freebookspot.es/Comments.aspx?Element_ID=1019681
This book presents practical optimization techniques used in image processing and computer vision problems. Ill-posed problems are introduced and used as examples to show how each type of problem is related to typical image processing and computer vision problems. Unconstrained optimization gives the best solution based on numerical minimization of a single, scalar-valued objective function or cost function. Unconstrained optimization problems have been intensively studied, and many algorithms and tools have been developed to solve them. Most practical optimization problems, however, arise with a set of constraints. Typical examples of constraints include: (i) pre-specified pixel intensity range, (ii) smoothness or correlation with neighboring information, (iii) existence on a certain contour of lines or curves, and (iv) given statistical or spectral characteristics of the solution. Regularized optimization is a special method used to solve a class of constrained optimization problems. The term regularization refers to the transformation of an objective function with constraints into a different objective function, automatically reflecting constraints in the unconstrained minimization process. Because of its simplicity and efficiency, regularized optimization has many application areas, such as image restoration, image reconstruction, optical flow estimation, etc.
Optimization plays a major role in a wide variety of theories for image processing and computer vision. Various Read more... ]]>Fri, 09 Dec 2016 13:50:23 GMTSpatial Context: An Introduction to Fundamental Computer Algorithms for Spatial Analysis (ISPRS Book Series)
http://www.freebookspot.es/Comments.aspx?Element_ID=1019518
Many disciplines are concerned with manipulating geometric (or spatial) objects in the computer – such as geology, cartography, computer aided design (CAD), etc. – and each of these have developed their own data structures and techniques, often independently. Nevertheless, in many cases the object types and the spatial queries are similar, and this book attempts to find a common theme.
The book starts with some of the basics of manipulating coordinate representations so that the resulting object descriptions may be usefully combined and queried. The first chapter should be of value to research students in fields with limited prerequisites in mathematics and computing.
The book then considers the concepts necessary to express the spatial relationships between both 2D and 3D entities, whether points, lines, polygons or polyhedra, so that they may be queried, grouped or combined. A unifying theme is a discussion of the various types of boundaries between regions of space, based on the Voronoi diagram and its dual, the Delaunay triangulation, and various available static, dynamic and kinetic algorithms. Applications, including surface interpolation, crusts and skeletons, contour and watershed handling, scanned map processing and solid line-work for urban mapping, are then described: this leads to the Unified Spatial Model for 2D mapping and GIS.
The last section examines 3D space – both simple shell models for building exteriors as well as true 3D, where volumetric eleme Read more... ]]>Fri, 09 Dec 2016 06:45:39 GMTMachine Learning: Algorithms and Applications
http://www.freebookspot.es/Comments.aspx?Element_ID=1018999
Machine learning, one of the top emerging sciences, has an extremely broad range of applications. However, many books on the subject provide only a theoretical approach, making it difficult for a newcomer to grasp the subject material. This book provides a more practical approach by explaining the concepts of machine learning algorithms and describing the areas of application for each algorithm, using simple practical examples to demonstrate each algorithm and showing how different issues related to these algorithms are applied. Read more... ]]>Thu, 08 Dec 2016 11:58:46 GMTBuilding Trading Bots Using Java
http://www.freebookspot.es/Comments.aspx?Element_ID=1018995
Build an automated currency trading bot from scratch with java. In this book, you will learn about the nitty-gritty of automated trading and have a closer look at Java, the Spring Framework, event-driven programming, and other open source APIs, notably Google's Guava API. And of course, development will all be test-driven with unit testing coverage.
The central theme of Building Trading Bots Using Java is to create a framework that can facilitate automated trading on most of the brokerage platforms, with minimum changes. At the end of the journey, you will have a working trading bot, with a sample implementation using the OANDA REST API, which is free to use.
What You'll Learn
Find out about trading bots
Discover the details of tradeable instruments and apply bots to them
Track and use market data events
Place orders and trades
Work with trade/order and account events
Who This Book Is For
Experienced programmers new to bots and other algorithmic trading and finance techniques. Read more... ]]>Thu, 08 Dec 2016 11:56:25 GMTTomes of Delphi: Alogrithm and Data Structure (Wordware Delphi Developer's Library)
http://www.freebookspot.es/Comments.aspx?Element_ID=1018311
Delphi developer Julian Bucknall provides fellow developers a comprehensive overview of using algorithms and data structures from a practical perspective. Bucknall begins with a discussion of algorithm performance, and provides comprehensive coverage of such topics as arrays, linked lists, and binary trees. The book focuses on search algorithms-such as sequential and binary search-and sort algorithms-including bubble, insertion, Shell sort, quicksort, merge sort, and heapsort-along with techniques for optimization. Additionally, the author presents hashing and hash tables, priority queues, state machines and regular expressions, and data compression techniques such as Huffman and LZ77.
Contents
Introduction
Chapter 1 What is an Algorithm?
Chapter 2 Arrays
Chapter 3 Linked Lists, Stacks, and Queues
Chapter 4 Searching
Chapter 5 Sorting
Chapter 6 Randomized Algorithms
Chapter 7 Hashing and Hash Tables
Chapter 8 Binary Trees
Chapter 9 Priority Queues and Heapsort
Chapter 10 State Machines and Regular Expressions
Chapter 11 Data Compression
Chapter 12 Advanced Topics
Index Read more... ]]>Wed, 07 Dec 2016 12:59:59 GMTApplications of NDT Data Fusion
http://www.freebookspot.es/Comments.aspx?Element_ID=1017937
Non-destructive testing (NDT) systems can generate incomplete, incorrect or conflicting information about a flaw or a defect. Therefore, the use of more than one NDT system is usually required for accurate defect detection and/or quantification. In addition to a reduction in inspection time, important cost savings could be achieved if a data fusion process is developed to combine signals from multisensor systems for manual and remotely operated inspections. This gathering of data from multiple sources and an efficient processing of information help in decision making, reduce signal uncertainty and increase the overall performance of a non-destructive examination. This book gathers, for the first time, essays from leading NDT experts involved in data fusion. It explores the concept of data fusion by providing a comprehensive review and analysis of the applications of NDT data fusion. This publication concentrates on NDT data fusion for industrial applications and highlights progress and applications in the field of data fusion in areas ranging from materials testing in the aerospace industry to medical applications. Each chapter contains a specific case study with a theoretical part but also presents experimental results from a practical point of view. The book should be considered more as a pragmatic introduction to the applications of NDT data fusion rather than a rigorous basis for theoretical studies. Read more... ]]>Tue, 06 Dec 2016 15:37:04 GMTArtificial Neural Networks: A Practical Course
http://www.freebookspot.es/Comments.aspx?Element_ID=1017726
This book provides comprehensive coverage of neural networks, their evolution, their structure, the problems they can solve, and their applications. The first half of the book looks at theoretical investigations on artificial neural networks and addresses the key architectures that are capable of implementation in various application scenarios. The second half is designed specifically for the production of solutions using artificial neural networks to solve practical problems arising from different areas of knowledge. It also describes the various implementation details that were taken into account to achieve the reported results. These aspects contribute to the maturation and improvement of experimental techniques to specify the neural network architecture that is most appropriate for a particular application scope. The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. Read more... ]]>Tue, 06 Dec 2016 09:01:10 GMTMachine Learning Paradigms: Artificial Immune Systems and their Applications in Software Personalization (Intelligent Systems Reference Library)
http://www.freebookspot.es/Comments.aspx?Element_ID=1017611
The topic of this monograph falls within the, so-called, biologically motivated computing paradigm, in which biology provides the source of models and inspiration towards the development of computational intelligence and machine learning systems. Specifically, artificial immune systems are presented as a valid metaphor towards the creation of abstract and high level representations of biological components or functions that lay the foundations for an alternative machine learning paradigm. Therefore, focus is given on addressing the primary problems of Pattern Recognition by developing Artificial Immune System-based machine learning algorithms for the problems of Clustering, Classification and One-Class Classification. Pattern Classification, in particular, is studied within the context of the Class Imbalance Problem. The main source of inspiration stems from the fact that the Adaptive Immune System constitutes one of the most sophisticated biological systems that is exceptionally evolved in order to continuously address an extremely unbalanced pattern classification problem, namely, the self / non-self discrimination process. The experimental results presented in this monograph involve a wide range of degenerate binary classification problems where the minority class of interest is to be recognized against the vast volume of the majority class of negative patterns. In this context, Artificial Immune Systems are utilized for the development of personalized software as the core Read more... ]]>Tue, 06 Dec 2016 01:57:14 GMTInformation Theory and Coding - Solved Problems
http://www.freebookspot.es/Comments.aspx?Element_ID=1017610
This book is offers a comprehensive overview of information theory and error control coding, using a different approach then in existed literature. The chapters are organized according to the Shannon system model, where one block affects the others. A relatively brief theoretical introduction is provided at the beginning of every chapter, including a few additional examples and explanations, but without any proofs. And a short overview of some aspects of abstract algebra is given at the end of the corresponding chapters. The characteristic complex examples with a lot of illustrations and tables are chosen to provide detailed insights into the nature of the problem. Some limiting cases are presented to illustrate the connections with the theoretical bounds. The numerical values are carefully selected to provide in-depth explanations of the described algorithms. Although the examples in the different chapters can be considered separately, they are mutually connected and the conclusions for one considered problem relate to the others in the book. Read more... ]]>Tue, 06 Dec 2016 01:56:04 GMTA Set of Examples of Global and Discrete Optimization: Applications of Bayesian Heuristic Approach (Applied Optimization)
http://www.freebookspot.es/Comments.aspx?Element_ID=1017250
This book shows how the Bayesian Approach (BA) improves well known heuristics by randomizing and optimizing their parameters. That is the Bayesian Heuristic Approach (BHA). The ten in-depth examples are designed to teach Operations Research using Internet. Each example is a simple representation of some impor tant family of real-life problems. The accompanying software can be run by remote Internet users. The supporting web-sites include software for Java, C++, and other lan guages. A theoretical setting is described in which one can discuss a Bayesian adaptive choice of heuristics for discrete and global optimization prob lems. The techniques are evaluated in the spirit of the average rather than the worst case analysis. In this context, "heuristics" are understood to be an expert opinion defining how to solve a family of problems of dis crete or global optimization. The term "Bayesian Heuristic Approach" means that one defines a set of heuristics and fixes some prior distribu tion on the results obtained. By applying BHA one is looking for the heuristic that reduces the average deviation from the global optimum. The theoretical discussions serve as an introduction to examples that are the main part of the book. All the examples are interconnected. Dif ferent examples illustrate different points of the general subject. How ever, one can consider each example separately, too. Read more... ]]>Mon, 05 Dec 2016 14:19:11 GMTApplications of Metaheuristic Optimization Algorithms in Civil Engineering
http://www.freebookspot.es/Comments.aspx?Element_ID=1016489
Authors: Kaveh, A.
Presents recently developed meta-heuristics optimization algorithms
Shows how to apply them in solving optimization problems in civil engineering
Well-known author with long experience in the field
The book presents recently developed efficient metaheuristic optimization algorithms and their applications for solving various optimization problems in civil engineering. The concepts can also be used for optimizing problems in mechanical and electrical engineering.
Number of Pages
XVI, 373
Number of Illustrations and Tables
36 b/w illustrations, 4 illustrations in colour
Topics
Appl. Mathematics / Computational Methods of Engineering
Mechanical Engineering
Construction Management
Consider Purchasing a Premium account from for Multiple/High Speed And Support :) Any contribution is appreciated Read more... ]]>Sun, 04 Dec 2016 20:33:55 GMTClassification Algorithms for Codes and Designs (Algorithms and Computation in Mathematics)
http://www.freebookspot.es/Comments.aspx?Element_ID=1015413
This book considers one of the basic problems in discrete mathematics: given a collection of constraints, describe up to isomorphism all the objects that meet them. Only a handful of classification results for combinatorial objects are dated before the mid-20th century indeed, it is through modern computers and recent developments in algorithms that this topic has flourished and matured. This book is the first comprehensive reference on combinatorial classification algorithms, with emphasis on both the general theory and application to central families of combinatorial objects, in particular, codes and designs.
The book will be of great interest to researchers and can be used as course material for graduate courses in both computer science and mathematics. Read more... ]]>Fri, 02 Dec 2016 18:07:23 GMT