Algorithmic Aspects Of Analysis Prediction And Control In Science And Engineering

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Algorithmic Aspects of Analysis, Prediction, and Control in Science and Engineering An Approach Based on Symmetry and Similarity

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Author by : Jaime Nava
Languange Used : English, France, Spanish, Italia and chinese
Page : 155
Isbn : 3662449552
Identifier : 9783662449554
Release : 2014-10-18
Publisher by : Springer
Category : Computers
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Description : Read Now Algorithmic Aspects Of Analysis Prediction And Control In Science And Engineering by Jaime Nava and you can download with pub, pdf, txt, doc, and more file format with free account. this book demonstrates how to describe and analyze a system's behavior and extract the desired prediction and control algorithms from this analysis. a typical prediction is based on observing similar situations in the past, knowing the outcomes of these past situations, and expecting that the future outcome of the current situation will be similar to these past observed outcomes. in mathematical terms, similarity corresponds to symmetry, and similarity of outcomes to invariance. this book shows how symmetries can be used in all classes of algorithmic problems of sciences and engineering: from analysis to prediction to control. applications cover chemistry, geosciences, intelligent control, neural networks, quantum physics, and thermal physics. specifically, it is shown how the approach based on symmetry and similarity can be used in the analysis of real-life systems, in the algorithms of prediction, and in the algorithms of control.

Algorithmic Aspects of Cloud Computing Second International Workshop, ALGOCLOUD 2016, Aarhus, Denmark, August 22, 2016, Revised Selected Papers

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Author by : Timos Sellis
Languange Used : English, France, Spanish, Italia and chinese
Page : 183
Isbn : 3319570455
Identifier : 9783319570457
Release : 2017-05-17
Publisher by : Springer
Category : Computers
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Description : Read Now Algorithmic Aspects Of Cloud Computing by Timos Sellis and you can download with pub, pdf, txt, doc, and more file format with free account. this book constitutes the thoroughly refereed post-conference proceedings of the second international workshop on algorithmic aspects of cloud computing, algocloud 2016, held in aarhus, denmark, in august 2016. the 11 revised full papers presented together with one tutorial paper were carefully reviewed and selected from 30 initial submissions. they deal with the following topics: algorithmic aspects of elasticity and scalability for distributed, large-scale data stores (e.g. nosql and columnar databases); search and retrieval algorithms for cloud infrastructures; monitoring and analysis of elasticity for virtualized environments; nosql, schemaless data modeling, integration; caching and load-balancing; storage structures and indexing for cloud databases; new algorithmic aspects of parallel and distributed computing for cloud applications; scalable machine learning, analytics and data science; high availability, reliability, failover; transactional models and algorithms for cloud databases; query languages and processing programming models; consistency, replication and partitioning cap, data structures and algorithms for eventually consistent stores.

Advanced Computational Methods in Science and Engineering

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Author by : Barry Koren
Languange Used : English, France, Spanish, Italia and chinese
Page : 498
Isbn : 364203344X
Identifier : 9783642033445
Release : 2009-09-30
Publisher by : Springer Science & Business Media
Category : Mathematics
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Description : Read Now Advanced Computational Methods In Science And Engineering by Barry Koren and you can download with pub, pdf, txt, doc, and more file format with free account. the aim of the present book is to show, in a broad and yet deep way, the state of the art in computational science and engineering. examples of topics addressed are: fast and accurate numerical algorithms, model-order reduction, grid computing, immersed-boundary methods, and specific computational methods for simulating a wide variety of challenging problems, problems such as: fluid-structure interaction, turbulent flames, bone-fracture healing, micro-electro-mechanical systems, failure of composite materials, storm surges, particulate flows, and so on. the main benefit offered to readers of the book is a well-balanced, up-to-date overview over the field of computational science and engineering, through in-depth articles by specialists from the separate disciplines.

Emergence, Analysis and Evolution of Structures Concepts and Strategies Across Disciplines

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Author by : Klaus Lucas
Languange Used : English, France, Spanish, Italia and chinese
Page : 310
Isbn : 3642008690
Identifier : 9783642008696
Release : 2009-10-21
Publisher by : Springer Science & Business Media
Category : Technology & Engineering
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Description : Read Now Emergence Analysis And Evolution Of Structures by Klaus Lucas and you can download with pub, pdf, txt, doc, and more file format with free account. in may 2002 a number of about 20 scientists from various disciplines were invited by the berlin-brandenburg academy of sciences and humanities to participate in an interdisciplinary workshop on structures and structure generating processes. the site was the beautiful little castle of blankensee, south of berlin. the disciplines represented ranged from mathematics and information theory, over various ?elds of engineering, biochemistry and biology, to the economic and social sciences. all participants presented talks explaining the nature of structures considered in their ?elds and the associated procedures of analysis. it soon became evident that the study of structures is indeed a common c- cern of virtually all disciplines. the motivation as well as the methods of analysis, however, differ considerably. in engineering, the generation of artifacts, such as infrastructures or technological processes, are of primary interest. frequently, the analysis aims there at de?ning a simpli?ed mathematical model for the optimization of the structures and the structure generating processes. mathematical or heuristic methods are applied, the latter preferably of the type of biology based evolutionary algorithms. on the other hand, setting up complex technical structures is not pos- ble by such simpli?ed model calculations but requires a different and less model but rather knowledge-based type of approach, using empirical rules rather than formal equations. in biochemistry, interest is frequently focussed on the structures of molecules, such as proteins or ribonucleic acids. again, optimal structures can usually be de?ned.

Recent Advances in Algorithmic Differentiation

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Author by : Shaun Forth
Languange Used : English, France, Spanish, Italia and chinese
Page : 362
Isbn : 3642300235
Identifier : 9783642300233
Release : 2012-07-30
Publisher by : Springer Science & Business Media
Category : Mathematics
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Description : Read Now Recent Advances In Algorithmic Differentiation by Shaun Forth and you can download with pub, pdf, txt, doc, and more file format with free account. the proceedings represent the state of knowledge in the area of algorithmic differentiation (ad). the 31 contributed papers presented at the ad2012 conference cover the application of ad to many areas in science and engineering as well as aspects of ad theory and its implementation in tools. for all papers the referees, selected from the program committee and the greater community, as well as the editors have emphasized accessibility of the presented ideas also to non-ad experts. in the ad tools arena new implementations are introduced covering, for example, java and graphical modeling environments or join the set of existing tools for fortran. new developments in ad algorithms target the efficiency of matrix-operation derivatives, detection and exploitation of sparsity, partial separability, the treatment of nonsmooth functions, and other high-level mathematical aspects of the numerical computations to be differentiated. applications stem from the earth sciences, nuclear engineering, fluid dynamics, and chemistry, to name just a few. in many cases the applications in a given area of science or engineering share characteristics that require specific approaches to enable ad capabilities or provide an opportunity for efficiency gains in the derivative computation. the description of these characteristics and of the techniques for successfully using ad should make the proceedings a valuable source of information for users of ad tools.

Mathematics of Program Construction 6th International Conference, MPC 2002, Dagstuhl Castle, Germany, July 8-10, 2002. Proceedings

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Author by : Eerke A. Boiten
Languange Used : English, France, Spanish, Italia and chinese
Page : 263
Isbn : 354045442X
Identifier : 9783540454427
Release : 2003-08-02
Publisher by : Springer
Category : Computers
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Description : Read Now Mathematics Of Program Construction by Eerke A. Boiten and you can download with pub, pdf, txt, doc, and more file format with free account. this book constitutes the refereed proceedings of the 6th international conference on mathematics of program construction, mpc 2002, held in dagstuhl castle, germany, in july 2002. the 11 revised full papers presented were carefully reviewed and selected for inclusion in the book; also presented are one invited paper and the abstracts of two invited talks. among the topics covered are programming methodology, program specification, program transformation, programming paradigms, programming calculi, and programming language semantics.

Signal Analysis and Prediction

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Author by : Ales Prochazka
Languange Used : English, France, Spanish, Italia and chinese
Page : 502
Isbn : 9780817640422
Identifier : 0817640428
Release : 1998-12-23
Publisher by : Springer Science & Business Media
Category : Technology & Engineering
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Description : Read Now Signal Analysis And Prediction by Ales Prochazka and you can download with pub, pdf, txt, doc, and more file format with free account. methods of signal analysis represent a broad research topic with applications in many disciplines, including engineering, technology, biomedicine, seismography, eco nometrics, and many others based upon the processing of observed variables. even though these applications are widely different, the mathematical background be hind them is similar and includes the use of the discrete fourier transform and z-transform for signal analysis, and both linear and non-linear methods for signal identification, modelling, prediction, segmentation, and classification. these meth ods are in many cases closely related to optimization problems, statistical methods, and artificial neural networks. this book incorporates a collection of research papers based upon selected contri butions presented at the first european conference on signal analysis and predic tion (ecsap-97) in prague, czech republic, held june 24-27, 1997 at the strahov monastery. even though the conference was intended as a european conference, at first initiated by the european association for signal processing (eurasip), it was very gratifying that it also drew significant support from other important scientific societies, including the lee, signal processing society of ieee, and the acoustical society of america. the organizing committee was pleased that the re sponse from the academic community to participate at this conference was very large; 128 summaries written by 242 authors from 36 countries were received. in addition, the conference qualified under the continuing professional development scheme to provide pd units for participants and contributors.

Stationary Stochastic Processes for Scientists and Engineers

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Author by : Georg Lindgren
Languange Used : English, France, Spanish, Italia and chinese
Page : 330
Isbn : 1466586192
Identifier : 9781466586192
Release : 2013-10-11
Publisher by : CRC Press
Category : Mathematics
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Description : Read Now Stationary Stochastic Processes For Scientists And Engineers by Georg Lindgren and you can download with pub, pdf, txt, doc, and more file format with free account. stochastic processes are indispensable tools for development and research in signal and image processing, automatic control, oceanography, structural reliability, environmetrics, climatology, econometrics, and many other areas of science and engineering. suitable for a one-semester course, stationary stochastic processes for scientists and engineers teaches students how to use these processes efficiently. carefully balancing mathematical rigor and ease of exposition, the book provides students with a sufficient understanding of the theory and a practical appreciation of how it is used in real-life situations. special emphasis is on the interpretation of various statistical models and concepts as well as the types of questions statistical analysis can answer. the text first introduces numerous examples from signal processing, economics, and general natural sciences and technology. it then covers the estimation of mean value and covariance functions, properties of stationary poisson processes, fourier analysis of the covariance function (spectral analysis), and the gaussian distribution. the book also focuses on input-output relations in linear filters, describes discrete-time auto-regressive and moving average processes, and explains how to solve linear stochastic differential equations. it concludes with frequency analysis and estimation of spectral densities. with a focus on model building and interpreting the statistical concepts, this classroom-tested book conveys a broad understanding of the mechanisms that generate stationary stochastic processes. by combining theory and applications, the text gives students a well-rounded introduction to these processes. to enable hands-on practice, matlab® code is available online.

System Identification

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Author by : T. S. Soderstrom
Languange Used : English, France, Spanish, Italia and chinese
Page : 612
Isbn :
Identifier : UOM:39015028285982
Release : 1989
Publisher by : no defined
Category : Technology & Engineering
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Icon Journal of the International Committee for the History of Technology

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Author by : no defined
Languange Used : English, France, Spanish, Italia and chinese
Page : 233
Isbn :
Identifier : STANFORD:36105132138285
Release : 2005
Publisher by : no defined
Category : Technology
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Analysis and Design of Machine Learning Techniques Evolutionary Solutions for Regression, Prediction, and Control Problems

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Author by : Patrick Stalph
Languange Used : English, France, Spanish, Italia and chinese
Page : 155
Isbn : 3658049375
Identifier : 9783658049379
Release : 2014-02-06
Publisher by : Springer Science & Business Media
Category : Technology & Engineering
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Description : Read Now Analysis And Design Of Machine Learning Techniques by Patrick Stalph and you can download with pub, pdf, txt, doc, and more file format with free account. manipulating or grasping objects seems like a trivial task for humans, as these are motor skills of everyday life. nevertheless, motor skills are not easy to learn for humans and this is also an active research topic in robotics. however, most solutions are optimized for industrial applications and, thus, few are plausible explanations for human learning. the fundamental challenge, that motivates patrick stalph, originates from the cognitive science: how do humans learn their motor skills? the author makes a connection between robotics and cognitive sciences by analyzing motor skill learning using implementations that could be found in the human brain – at least to some extent. therefore three suitable machine learning algorithms are selected – algorithms that are plausible from a cognitive viewpoint and feasible for the roboticist. the power and scalability of those algorithms is evaluated in theoretical simulations and more realistic scenarios with the icub humanoid robot. convincing results confirm the applicability of the approach, while the biological plausibility is discussed in retrospect.

Dynamics of Information Systems: Algorithmic Approaches

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Author by : Alexey Sorokin
Languange Used : English, France, Spanish, Italia and chinese
Page : 344
Isbn : 1461475821
Identifier : 9781461475828
Release : 2013-08-23
Publisher by : Springer Science & Business Media
Category : Business & Economics
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Description : Read Now Dynamics Of Information Systems Algorithmic Approaches by Alexey Sorokin and you can download with pub, pdf, txt, doc, and more file format with free account. dynamics of information systems: algorithmic approaches presents recent developments and results found by participants of the fourth international conference on the dynamics of information systems, which took place at the university of florida, gainesville fl, usa on february 20-22, 2012. the purpose of this conference was to bring together scientists and engineers from industry, government, and universities to exchange knowledge and results in a broad range of topics relevant to the theory and practice of the dynamics of information systems.​​​dynamics of information plays an increasingly critical role in our society. the influence of information on social, biological, genetic, and military systems must be better understood to achieve large advances in the capability and understanding of these systems. applications are widespread and include: detection of terrorist networks, design of highly efficient businesses, computer networks, quantum entanglement, genome modeling, multi-robotic systems, and industrial and manufacturing safety. the book contains state-of-the-art work on theory and practice relevant to the dynamics of information systems. it covers algorithmic approaches to numerical computations with infinite and infinitesimal numbers; presents important problems arising in service-oriented systems, such as dynamic composition and analysis of modern service-oriented information systems and estimation of customer service times on a rail network from gps data; addresses the complexity of the problems arising in stochastic and distributed systems; and discusses modulating communication for improving multi-agent learning convergence. network issues—in particular minimum-risk maximum-clique problems, vulnerability of sensor networks, influence diffusion, community detection, and link prediction in social network analysis, as well as a comparative analysis of algorithms for transmission network expansion planning—are described in later chapters.