nodal discontinuous galerkin methods algorithms analysis

Nodal Discontinuous Galerkin Methods: Algorithms, Analysis,

Nodal Discontinuous Galerkin Methods: Algorithms, Analysis,

ISBN: , SKU: , AUTHOR: Hesthaven, Jan S. / Warburton, Tim, PUBLISHER: Springer, This book offers an introduction to the key ideas, basic analysis, and efficient implementation of discontinuous Galerkin finite element methods (DG-FEM) for the solution of partial differential equations. It covers all key theoretical results, including an overview of relevant results from approximation theory, convergence theory for numerical PDE's, and orthogonal polynomials. Through embedded Matlab codes, coverage discusses and implements the algorithms for a number of classic systems of PDE's: Maxwell's equations, Euler equations, incompressible Navier-Stokes equations, and Poisson- and Helmholtz equations.

Nodal Discontinuous Galerkin Methods: Algorithms, Analysis,

Nodal Discontinuous Galerkin Methods: Algorithms, Analysis,

ISBN: , SKU: , AUTHOR: Hesthaven, Jan S. / Warburton, Tim, PUBLISHER: Springer, The text offers an introduction to the key ideas, basic analysis, and efficient implementation of discontinuous Galerkin finite element methods (DG-FEM) for the solution of partial differential equations. All key theoretical results are either derived or discussed, including an overview of relevant results from approximation theory, convergence theory for numerical PDEa (TM)s, orthogonal polynomials etc. Through embedded Matlab codes, the algorithms are discussed and implemented for a number of classic systems of PDEa (TM)s, e.g., Maxwella (TM)s equations, Euler equations, incompressible Navier-Stokes equations, and Poisson- and Helmholtz equations. These developments are done in detail in one and two dimensions on general unstructured grids with high-order elements and all essential routines for 3D extensions are also included and discussed briefly. The three appendices contain an overview of orthogonal polynomials and associated library routines used throughout, a brief introduction to grid generation, and an overview of the associated software (where to get it, list of variables etc). A variety of exercises are included at the end of most chapters.

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Methods of Correlation Analysis

Methods of Correlation Analysis

Methods of Correlation Analysis Mordecai Ezekiel (Author) 2nd Edition John wiley & sons, Inc. Dark blue hardcover, clean, pp.531 euro 40

Health Services Research Methods

Health Services Research Methods

ISBN: , SKU: , AUTHOR: Shi, Leiyu, PUBLISHER: Cengage Learning, This book is intended to become a reference on research methods and analysis for health related research. It provides health students, practitioners, and researchers with a practical guide for conducting and evaluating health related research. It details the major components involved in conducting research including conceptualization, groundwork, choice of research methods, design, sampling, measurement, data collection and processing, statistical analysis and research reporting and application.

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Algorithms and Computation: 19th International Symposium,

Algorithms and Computation: 19th International Symposium,

ISBN: , SKU: , AUTHOR: Hong, Seok-Hee, PUBLISHER: Springer, This book constitutes the refereed proceedings of the 19th International Symposium on Algorithms and Computation, ISAAC , held in Gold Coast, Australia in December . The 78 revised full papers together with 3 invited talks presented were carefully reviewed and selected from 229 submissions for inclusion in the book. The papers are organized in topical sections on approximation algorithms, online algorithms, data structure and algorithms, game theory, graph algorithms, fixed parameter tractability, distributed algorithms, database, approximation algorithms, computational biology, computational geometry, complexity, networks, optimization as well as routing. Acquista Ora

Bioinformatics for DNA Sequence Analysis

Bioinformatics for DNA Sequence Analysis

ISBN: , SKU: , AUTHOR: Posada, David, PUBLISHER: Humana Press, The storage, processing, description, transmission, connection, and analysis of the waves of new genomic data have made bioinformatics skills essential for scientists working with DNA sequences. In Bioinformatics for DNA Sequence Analysis, experts in the field provide practical guidance and troubleshooting advice for the computational analysis of DNA sequences, covering a range of issues and methods that unveil the multitude of applications and the vital relevance that the use of bioinformatics has today. Individual book chapters explore the use of specific bioinformatic tools, accompanied by practical examples, a discussion on the interpretation of results, and specific comments on strengths and limitations of the methods and tools. As a part of the highly successful Methods in Molecular Biologya" series, this work provides the kind of detailed description and implementation advice that is crucial for getting optimal results. Focused and cutting-edge, Bioinformatics for DNA Sequence Analysis serves molecular biologists, geneticists, and biochemists as an enriched task-oriented manual, offering step-by-step guidance for the analysis of DNA sequences in a simple but meaningful fashion.

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Testa panoramica Nodal NINJA

Testa panoramica Nodal NINJA

per inutilizzo vendo testa panoramica Nodal NINJA

Numerical Computation in Science and Engineering

Numerical Computation in Science and Engineering

ISBN: , SKU: , AUTHOR: Pozrikidis, C., PUBLISHER: Oxford University Press, USA, Designed for non-expert students and researchers, this text provides an accessible introduction to scientific numerical computation and its applications. It assumes no prior knowledge beyond undergraduate calculus and elementary computer programming. Fundamental and practical issues are discussed in a unified manner with a generous, but not excessive, dose of numerical analysis. The topics are introduced on a need to know basis in order to concisely illustrate the practical implementation of a variety of algorithms and to demystify seemingly esoteric numerical methods. Algorithms that can be explained without too much elaboration and implemented within a few dozen lines of computer code are discussed in detail; those whose underlying theories require long, elaborate explanations are discussed at the level of first principles, and references for further information are given. The book uses schematic illustrations to demonstrate concepts and facilitate understanding by providing readers with a helpful interplay between ideas and visual images. Real-world examples, drawn from various branches of science and engineering, are presented in those cases where it would be difficult for readers to produce their own. The text is further enhanced by an accompanying library of FORTRAN programs, freely available on the World Wide Web at http://www-ames.ucsd.edu/research/pozrikidis/ncse. Drawing a direct connection between numerical analysis and numerical computation, Numerical Computation in Science and Engineering serves as an ideal text for courses in numerical methods and as a supplement in any course involving numerical computation, including fluid mechanics, solid mechanics, control theory, and thermodynamics.

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Testa panoramica nodal ninja ultimate R10

Testa panoramica nodal ninja ultimate R10

vendo Testa panoramica nodal ninja ultimate R10, mai utilizzata. Possibilità di acquistare anche la lente sigma 8 mm per nikon per effettuare google virtual tour (attrezzatura ufficiale).

Algorithms and Data Structures: An Approach in C

Algorithms and Data Structures: An Approach in C

ISBN: , SKU: , AUTHOR: Bowman, Charles F., PUBLISHER: Oxford University Press, USA, With numerous practical, real-world algorithms presented in the C programming language, Bowman's Algorithms and Data Structures: An Approach in C is the algorithms text for courses that take a modern approach. For the one- or two-semester undergraduate course in data structures, it instructs students on the science of developing and analyzing algorithms. Bowman focuses on both the theoretical and practical aspects of algorithm development. He discusses problem-solving techniques and introduces the concepts of data abstraction and algorithm efficiency. More importantly, the text does not present algorithms in a "shopping-list" format. Rather it provides actual insight into the design process itself.

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Circuit Analysis: Theory & Practice

Circuit Analysis: Theory & Practice

ISBN: , SKU: , AUTHOR: Robbins, Judd / Robbins, Allan / Miller, Alan R., PUBLISHER: Cengage Learning, The mathematical foundation and the practical application of circuit theory in this highly readable book will prove invaluable to students enrolled in electronics engineeringtechnology curriculum and professionals alike. This one-of-a-kind text provides comprehensive coverage of circuit analysis topics, including fundamentals of DC and AC circuits, methods of analysis, capacitance, inductance, magnetism, simple transients, and computer methods. Hundreds of step by step examples lead the user through the critical thinking processes required to solve problems. Two popular computer simulation packages, OrCAD PSpice Version 9 and Electronics Workbench are integrated throughout the book to support "what-if" situations. With the Online Companion, users can access a web site that contains RealAudio sound-clips that present more in-depth discussions of the most difficult topics covered in each chapter.

Japanese candlestick charting techniques

Japanese candlestick charting techniques

Japanese Candlestick Charting Techniques: A Contemporary Guide to the Ancient Investment Techniques of the Far East. Traditional Western methods for chart analysis (the basis of all technical analyses) use bar or points and figure charts. Yet over 100 years before these methods originated, the Japanese were using their own style of technical analysis for use in the rice futures market. This technique - known as the Japanese Candlestick Charting Techniques because of its close resemblance to andlesticks - has recently been attracting attention because it provides unique insights into the market. This work features over 300 charts that use candlesticks alone and in conjunction with Western charting techniques, and explains their use.

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Behringer virtualizer pro dspp - multi effetto 24bit DJ

Behringer virtualizer pro dspp - multi effetto 24bit DJ

BEHRINGER VIRTUALIZER PRO DSPP 71 breathtaking new algorithms, most in true stereo Wave-adaptive VIRTUAL ROOM reverb algorithms for ultra-natural reverb and delay Awesome modulation, dynamic, psychoacoustic and EQ algorithms plus innovative amp simulation, distortion and special effects 11 effect combinations, selectable serial/parallel Up to 7 adjustable parameters plus high and low EQ per effect True stereo processing for realistic channel separation in stereo image with most algorithms 100 factory presets plus 100 user preset memories Extensive MIDI implementation

Methods of Housing Analysis: Techniques and Case Studies

Methods of Housing Analysis: Techniques and Case Studies

ISBN: , SKU: , AUTHOR: Maidment, Robert W., PUBLISHER: Center for Urban Policy Research, In order to understand and formulate housing policy and programs, it is necessary to have a working knowledge of the internal economic operation of housing from the points of view of both the investor and the owner. James W. Hughes argues that investors' and owners' behavior and activity tend to be governed by market forces and other realities. In that regard, he begins this work by analyzing market rates of return in real estate and housing undertakings, and the variety of analytical techniques which underlie their determination."Methods of Housing Analysis" is designed to provide urban planners with an introduction to the basic, quantitative techniques associated with the analysis of housing. A myriad of specific analytical methods has evolved in each of the professions concerned with this subject area. Planners, investors, developers, engineers, appraisers, social scientists, and governmental officials all tend to exhibit unique perspectives when examining housing and have developed their analytical frameworks accordingly. The work is comprised of an extensive discussion by the author, detailed case studies and examples, and a number of essays by leading experts that detail specific analytical procedures and demonstrate their use. The book is divided into four major sections: analysis of the internal operation of housing; basic cost-revenue analysis; expanded cost-revenue/benefit analysis; and government regulation of housing. The thorough nature of Hughes' discussion and of the related readings makes this volume an ideal textbook and reference source.

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Nonlinear Optimization with Engineering Applications

Nonlinear Optimization with Engineering Applications

ISBN: , SKU: , AUTHOR: Bartholomew-Biggs, Michael, PUBLISHER: Springer, This textbook examines a broad range of problems in science and engineering, describing key numerical methods applied to real life. The case studies presented are in such areas as data fitting, vehicle route planning and optimal control, scheduling and resource allocation, sensitivity calculations and worst-case analysis. Chapters are self-contained with exercises provided at the end of most sections. Nonlinear Optimization with Engineering Applications is ideal for self-study and classroom use in engineering courses at the senior undergraduate or graduate level. The book will also appeal to postdocs and advanced researchers interested in the development and use of optimization algorithms.

Statistics in Management Science

Statistics in Management Science

ISBN: , SKU: , AUTHOR: Metcalfe, Andrew V., PUBLISHER: Hodder Education Publishers, This is the first book to introduce senior level students of management science practicing managers to the modern powerful statistical methods that are available for optimizing and improving business processes. Using realistic case studies from businesses, this book explains the key statistical concepts workers in this field need to know. In particular, there is a focus on the use of probabilistic methods and statistical analysis in a business context and the value of these methods for managers. The mathematical explanations are comprehensive with an emphasis on the essential principles.

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Peptide Nucleic Acids: Methods and Protocols

Peptide Nucleic Acids: Methods and Protocols

ISBN: , SKU: , AUTHOR: Nielsen, Peter E., PUBLISHER: Humana Press, Peter Eigil Nielsen has assembled a critically evaluated collection of key PNA protocols that are either already well established around the world, such as PCR-clamping and in situ hybridization, or that display promise of significant future impact. Basic methods for PNA oligomer synthesis and analysis have also been included. Written by experts with hands-on in the methods they describe, these readily reproducible protocols contain detailed step-by-step instructions, tips on avoiding pitfalls and on extending the method to other situations, and introductory material explaining the theory behind the process.

Mathematical analysis 1/ Canuto, Tabacco

Mathematical analysis 1/ Canuto, Tabacco

Mathematical analysis I, of Claudio Canuto and Anita Tabacco. Textbook for Politecnico di Torino 1st year Analysis course, wear signs along the edges but in ok conditions, not written/marked.

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Receptor Binding Techniques

Receptor Binding Techniques

ISBN: , SKU: , AUTHOR: Davenport, Anthony P., PUBLISHER: Humana Press, A comprehensive collection of readily reproducible methods for studying receptors in silico, in vitro, and in vivo. These cutting-edge techniques cover mining from curated databases, identifying novel receptors by high throughput screening, molecular methods to identify mRNA encoding receptors, radioligand binding assays and their analysis, quantitative autoradiography, and imaging receptors by positron emission tomography (PET). Highlights include phenotypic characterization of receptors in knockout mice, imaging receptors using green fluorescent protein and fluorescent resonance energy transfer, and quantitative analysis of receptor mRNA by TaqMan PCR. These book equips the researcher with techniques for exploring the unprecedented number of new receptor systems now emerging and the so-called "orphan" receptors whose activating ligand has not been identified.

Performance Improvement Methods: Fighting the War on Waste

Performance Improvement Methods: Fighting the War on Waste

ISBN: , SKU: , AUTHOR: Harrington, H. James / Lomax, Kenneth, PUBLISHER: McGraw-Hill, Waste-eliminating, performance-improvement weapons Discover the best ways to overcome todayAEs most stubborn business issues: waste of resources, personnel, and opportunity. Performance Improvement Methods, by H. James Harrington and Kenneth C. Lomax, details the 85 most effective performance-enhancing weapons you can use to get the most from the least, and get the jump on your competitors. You'll learn about activity-based costing...design of experiments...failure mode and effect analysis...matrix data analysis...process benchmarking, redesign,and reengineering...QFD...simulation modeling...the six-sigma system...value-added analysis...and all the other strategies performance experts have identified as the best ways to promote efficiency and productivity, and maximize opportunities in every arena. This book/CD-ROM package gives you ready-to-download sample forms, agreements and analyses, plus exercises, games,definitions, case histories and more that help you put these creative and efficient tools to work.

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Machine Learning and Statistics: The Interface

Machine Learning and Statistics: The Interface

ISBN: , SKU: , AUTHOR: Nakhaeizadeh, Gholamreza / Taylor, C. C. / Nakhaeizadeh, G., PUBLISHER: Wiley-Interscience, The interface between statistics and machine learning (ML) is an increasingly popular research subject, as scientists and statisticians discover useful areas where these disciplines overlap. ML deals primarily with learning rules or structure, and while some books on the subject exist, this volume is the only one to integrate ML with statistics. It explores new areas where theory and methods can be shared and demonstrates the benefits to those working in either discipline. Written by leading experts in both fields, Machine Learning and Statistics is a result of the authors' participation in the European Conference in Machine Learning. This important collection of contributions was adapted from conference workshop material and reworked to address readers of diverse backgrounds and skills. For newcomers to the field, a thorough introduction surveys the various topics and supplies numerous references for further reading. The book's main focus is on classification, the most common area of intersection. The classification process uses information about a new example to assign the example to one of a known number of classes. Such methods typically involve a rule learned from an initial set of data, which is where ML comes into play. Other topics covered include prediction, control, and an introduction to methods of knowledge discovery in databases--a skill that has become especially relevant with the explosion in large-scale databases. Timely, practical, and innovative, this book offers a number of new algorithms and draws on real-world examples including financial and medical applications. It also includes two chapters on loans/credit applications that help identify bad risks and good customers--useful for those working with credit scoring and bad debt analysis. Machine Learning and Statistics is an invaluable resource for researchers involved with artificial intelligence and ML in academia, government, or industry, as well as those working with pattern recognition in statistical departments; for students at the graduate level who seek to expand their horizons; and for anyone who would like to learn more about these cutting-edge methodologies. The first book to explore the theory, methods, and applications of the relationship between machine learning and statistics. Here is the first book to address the growing demand for applications that integrate machine learning and statistics. The only text to focus on the interface between the two disciplines, this volume explores a mutually beneficial relationship that is fast becoming recognized by scientists, engineers, and researchers in data analysis and intelligent systems worldwide. The book shows that machine learning shares several areas of common research with statistics, most notably classification, prediction, and control. It demonstrates that statistical and probability methodologies can be applied in developing different machine learning algorithms and that these algorithms can

Performance in Water Distribution: A Systems Approach

Performance in Water Distribution: A Systems Approach

ISBN: , SKU: , AUTHOR: Coelho, Sergio Teixeira / Coelho, S. T. U., PUBLISHER: Research Studies Press, Rigorous application of the method to different performance fields of water networks, illustrated by various case studies. Detailed analysis of key areas of water networks' behaviour, including advances in the analysis and modelling procedures that are currently available, e.g. in water quality modelling and reliability analysis. Applicable to a range of engineering problems in water distribution. Performance analysis is becoming a key issue in the engineering approach to the control of water supply and distribution systems, both as a natural process of evolution of the modelling and design methods available, and as a consequence of an ever increasing awareness of the quality of the service provided within the water industry today. This book presents a systematic approach to the analysis of technical performance of water networks by creating a framework in which a variety of concepts and criteria can be included. The system presented provides a shift in the way engineering problems are formulated in water supply, allowing greater control of analysis objectives and improved sensitivity.

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Parallel and Distributed Processing and Applications: Third

Parallel and Distributed Processing and Applications: Third

ISBN: , SKU: , AUTHOR: Pan, Y. / Pan, Yi / Chen, Daoxu, PUBLISHER: Springer, This book constitutes the refereed proceedings of the Third International Symposium on Parallel and Distributed Processing and Applications, ISPA , held in Nanjing, China in November . The 90 revised full papers and 19 revised short papers presented together with 3 keynote speeches and 2 tutorials were carefully reviewed and selected from 645 submissions. The papers are organized in topical sections on cluster systems and applications, performance evaluation and measurements, distributed algorithms and systems, fault tolerance and reliability, high-performance computing and architecture, parallel algorithms and systems, network routing and communication algorithms, security algorithms and systems, grid applications and systems, database applications and data mining, distributed processing and architecture, sensor networks and protocols, peer-to-peer algorithms and systems, internet computing and Web technologies, network protocols and switching, and ad hoc and wireless networks.

Introduction to Bio-Ontologies

Introduction to Bio-Ontologies

ISBN: , SKU: , AUTHOR: Robinson, Peter N. / Bauer, Sebastian, PUBLISHER: CRC Press, Ontologies have become the tool of choice for organizing and describing the meaning of biological and medical data. This book introduces the most important aspects of bio-ontologies, including statistical overrepresentation analysis, semantic similarity, and inference. Each chapter reviews the main goals of the methods discussed, explains the mathematical and computation methods used to achieve those goals, offers practical examples, and includes theoretical and practical exercises. A supporting website provides ontologies and files for the practical exercises and open-source software.

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Quantitative PCR Protocols

Quantitative PCR Protocols

ISBN: , SKU: , AUTHOR: Kochanowski, Bernd / Reischl, Udo, PUBLISHER: Humana Press, This is a significant collection of established and novel methods for the successful quantitation of nucleic acids. Each method has been refined and tested by its developer and proven to work in such problems as the analysis of eukaryotic gene expression, the quantitation of viral loads in clinical specimens, reporter gene expression, and quantitative oncogene analysis. Particular emphasis is placed on the underlying principles of the design of competitive or noncompetitive standards, as well as on the optimization of the amplification process. In important cases several methods are given for the same problem so that readers may set up test systems tailored to their specific practical needs. With its step-by-step instructions, Quantitative PCR Protocols allows researchers to address biological and diagnostic questions that are difficult or impossible to answer using any other experimental approach.

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