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.

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.

Robustness in Econometrics

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Author by : Vladik Kreinovich
Languange Used : English, France, Spanish, Italia and chinese
Page : 705
Isbn : 3319507427
Identifier : 9783319507422
Release : 2017-02-11
Publisher by : Springer
Category : Computers
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Description : Read Now Robustness In Econometrics by Vladik Kreinovich and you can download with pub, pdf, txt, doc, and more file format with free account. this book presents recent research on robustness in econometrics. robust data processing techniques – i.e., techniques that yield results minimally affected by outliers – and their applications to real-life economic and financial situations are the main focus of this book. the book also discusses applications of more traditional statistical techniques to econometric problems. econometrics is a branch of economics that uses mathematical (especially statistical) methods to analyze economic systems, to forecast economic and financial dynamics, and to develop strategies for achieving desirable economic performance. in day-by-day data, we often encounter outliers that do not reflect the long-term economic trends, e.g., unexpected and abrupt fluctuations. as such, it is important to develop robust data processing techniques that can accommodate these fluctuations.

Data Analysis and Pattern Recognition in Multiple Databases

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Author by : Animesh Adhikari
Languange Used : English, France, Spanish, Italia and chinese
Page : 238
Isbn : 3319034103
Identifier : 9783319034102
Release : 2013-12-09
Publisher by : Springer Science & Business Media
Category : Computers
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Description : Read Now Data Analysis And Pattern Recognition In Multiple Databases by Animesh Adhikari and you can download with pub, pdf, txt, doc, and more file format with free account. pattern recognition in data is a well known classical problem that falls under the ambit of data analysis. as we need to handle different data, the nature of patterns, their recognition and the types of data analyses are bound to change. since the number of data collection channels increases in the recent time and becomes more diversified, many real-world data mining tasks can easily acquire multiple databases from various sources. in these cases, data mining becomes more challenging for several essential reasons. we may encounter sensitive data originating from different sources - those cannot be amalgamated. even if we are allowed to place different data together, we are certainly not able to analyze them when local identities of patterns are required to be retained. thus, pattern recognition in multiple databases gives rise to a suite of new, challenging problems different from those encountered before. association rule mining, global pattern discovery and mining patterns of select items provide different patterns discovery techniques in multiple data sources. some interesting item-based data analyses are also covered in this book. interesting patterns, such as exceptional patterns, icebergs and periodic patterns have been recently reported. the book presents a thorough influence analysis between items in time-stamped databases. the recent research on mining multiple related databases is covered while some previous contributions to the area are highlighted and contrasted with the most recent developments.

Qualitative and Quantitative Analysis of Nonlinear Systems Theory and Applications

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Author by : Michael Z. Zgurovsky
Languange Used : English, France, Spanish, Italia and chinese
Page : 240
Isbn : 3319598406
Identifier : 9783319598406
Release : 2017-07-11
Publisher by : Springer
Category : Computers
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Description : Read Now Qualitative And Quantitative Analysis Of Nonlinear Systems by Michael Z. Zgurovsky and you can download with pub, pdf, txt, doc, and more file format with free account. here, the authors present modern methods of analysis for nonlinear systems which may occur in fields such as physics, chemistry, biology, or economics. they concentrate on the following topics, specific for such systems: (a) constructive existence results and regularity theorems for all weak solutions; (b) convergence results for solutions and their approximations; (c) uniform global behavior of solutions in time; and (d) pointwise behavior of solutions for autonomous problems with possible gaps by the phase variables. the general methodology for the investigation of dissipative dynamical systems with several applications including nonlinear parabolic equations of divergent form, nonlinear stochastic equations of parabolic type, unilateral problems, nonlinear pdes on riemannian manifolds with or without boundary, contact problems as well as particular examples is established. as such, the book is addressed to a wide circle of mathematical, mechanical and engineering readers.

Predictive Econometrics and Big Data

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Author by : Vladik Kreinovich
Languange Used : English, France, Spanish, Italia and chinese
Page : 780
Isbn : 3319709429
Identifier : 9783319709420
Release : 2017-11-30
Publisher by : Springer
Category : Computers
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Description : Read Now Predictive Econometrics And Big Data by Vladik Kreinovich and you can download with pub, pdf, txt, doc, and more file format with free account. this book presents recent research on predictive econometrics and big data. gathering edited papers presented at the 11th international conference of the thailand econometric society (tes2018), held in chiang mai, thailand, on january 10-12, 2018, its main focus is on predictive techniques – which directly aim at predicting economic phenomena; and big data techniques – which enable us to handle the enormous amounts of data generated by modern computers in a reasonable time. the book also discusses the applications of more traditional statistical techniques to econometric problems. econometrics is a branch of economics that employs mathematical (especially statistical) methods to analyze economic systems, to forecast economic and financial dynamics, and to develop strategies for achieving desirable economic performance. it is therefore important to develop data processing techniques that explicitly focus on prediction. the more data we have, the better our predictions will be. as such, these techniques are essential to our ability to process huge amounts of available data.

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.

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.

Time Series Analysis, Modeling and Applications A Computational Intelligence Perspective

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Author by : Witold Pedrycz
Languange Used : English, France, Spanish, Italia and chinese
Page : 404
Isbn : 3642334393
Identifier : 9783642334399
Release : 2012-11-29
Publisher by : Springer Science & Business Media
Category : Computers
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Description : Read Now Time Series Analysis Modeling And Applications by Witold Pedrycz and you can download with pub, pdf, txt, doc, and more file format with free account. temporal and spatiotemporal data form an inherent fabric of the society as we are faced with streams of data coming from numerous sensors, data feeds, recordings associated with numerous areas of application embracing physical and human-generated phenomena (environmental data, financial markets, internet activities, etc.). a quest for a thorough analysis, interpretation, modeling and prediction of time series comes with an ongoing challenge for developing models that are both accurate and user-friendly (interpretable). the volume is aimed to exploit the conceptual and algorithmic framework of computational intelligence (ci) to form a cohesive and comprehensive environment for building models of time series. the contributions covered in the volume are fully reflective of the wealth of the ci technologies by bringing together ideas, algorithms, and numeric studies, which convincingly demonstrate their relevance, maturity and visible usefulness. it reflects upon the truly remarkable diversity of methodological and algorithmic approaches and case studies. this volume is aimed at a broad audience of researchers and practitioners engaged in various branches of operations research, management, social sciences, engineering, and economics. owing to the nature of the material being covered and a way it has been arranged, it establishes a comprehensive and timely picture of the ongoing pursuits in the area and fosters further developments.

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.