Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Computational Methods And Data Engineering
Download Computational Methods And Data Engineering full books in PDF, epub, and Kindle. Read online Computational Methods And Data Engineering ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Computational Methods and Data Engineering by : Vijendra Singh
Download or read book Computational Methods and Data Engineering written by Vijendra Singh and published by Springer Nature. This book was released on 2020-08-19 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected high-quality research papers from the International Conference on Computational Methods and Data Engineering (ICMDE 2020), held at SRM University, Sonipat, Delhi-NCR, India. Focusing on cutting-edge technologies and the most dynamic areas of computational intelligence and data engineering, the respective contributions address topics including collective intelligence, intelligent transportation systems, fuzzy systems, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, and speech processing.
Download or read book Data Analysis written by Siegmund Brandt and published by Springer Science & Business Media. This book was released on 2014-02-14 with total page 532 pages. Available in PDF, EPUB and Kindle. Book excerpt: The fourth edition of this successful textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Equal weight is given to statistical theory and practical problems. The concise mathematical treatment of the subject matter is illustrated by many examples and for the present edition a library of Java programs has been developed. It comprises methods of numerical data analysis and graphical representation as well as many example programs and solutions to programming problems. The book is conceived both as an introduction and as a work of reference. In particular it addresses itself to students, scientists and practitioners in science and engineering as a help in the analysis of their data in laboratory courses, in working for bachelor or master degrees, in thesis work, and in research and professional work.
Book Synopsis Computational Methods and Data Engineering by : Vijendra Singh
Download or read book Computational Methods and Data Engineering written by Vijendra Singh and published by Springer Nature. This book was released on 2020-11-04 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gathers selected high-quality research papers from the International Conference on Computational Methods and Data Engineering (ICMDE 2020), held at SRM University, Sonipat, Delhi-NCR, India. Focusing on cutting-edge technologies and the most dynamic areas of computational intelligence and data engineering, the respective contributions address topics including collective intelligence, intelligent transportation systems, fuzzy systems, data privacy and security, data mining, data warehousing, big data analytics, cloud computing, natural language processing, swarm intelligence, and speech processing.
Book Synopsis Computational Methods for Data Analysis by : Yeliz Karaca
Download or read book Computational Methods for Data Analysis written by Yeliz Karaca and published by Walter de Gruyter GmbH & Co KG. This book was released on 2018-12-17 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: This graduate text covers a variety of mathematical and statistical tools for the analysis of big data coming from biology, medicine and economics. Neural networks, Markov chains, tools from statistical physics and wavelet analysis are used to develop efficient computational algorithms, which are then used for the processing of real-life data using Matlab.
Book Synopsis Computational Methods and Production Engineering by : J. Paulo Davim
Download or read book Computational Methods and Production Engineering written by J. Paulo Davim and published by Woodhead Publishing. This book was released on 2017-05-25 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Methods and Production Engineering: Research and Development is an original book publishing refereed, high quality articles with a special emphasis on research and development in production engineering and production organization for modern industry. Innovation and the relationship between computational methods and production engineering are presented. Contents include: Finite Element method (FEM) modeling/simulation; Artificial neural networks (ANNs); Genetic algorithms; Evolutionary computation; Fuzzy logic; neuro-fuzzy systems; Particle swarm optimization (PSO); Tabu search and simulation annealing; and optimization techniques for complex systems. As computational methods currently have several applications, including modeling manufacturing processes, monitoring and control, parameters optimization and computer-aided process planning, this book is an ideal resource for practitioners. Presents cutting-edge computational methods for production engineering Explores the relationship between applied computational methods and production engineering Presents new innovations in the field Edited by a key researcher in the field
Book Synopsis Immersed Boundary Method by : Somnath Roy
Download or read book Immersed Boundary Method written by Somnath Roy and published by Springer Nature. This book was released on 2020-05-15 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents the emerging applications of immersed boundary (IB) methods in computational mechanics and complex CFD calculations. It discusses formulations of different IB implementations and also demonstrates applications of these methods in a wide range of problems. It will be of special value to researchers and engineers as well as graduate students working on immersed boundary methods, specifically on recent developments and applications. The book can also be used as a supplementary textbook in advanced courses in computational fluid dynamics.
Book Synopsis Computational Methods in Engineering by : S. P. Venkateshan
Download or read book Computational Methods in Engineering written by S. P. Venkateshan and published by Springer Nature. This book was released on 2023-05-31 with total page 824 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book is designed to serve as a textbook for courses offered to graduate and upper-undergraduate students enrolled in mechanical engineering. The book attempts to make students with mathematical backgrounds comfortable with numerical methods. The book also serves as a handy reference for practicing engineers who are interested in applications. The book is written in an easy-to-understand manner, with the essence of each numerical method clearly stated. This makes it easy for professional engineers, students, and early career researchers to follow the material presented in the book. The structure of the book has been modeled accordingly. It is divided into four modules: i) solution of a system of equations and eigenvalues which includes linear equations, determining eigenvalues, and solution of nonlinear equations; ii) function approximations: interpolation, data fit, numerical differentiation, and numerical integration; iii) solution of ordinary differential equations—initial value problems and boundary value problems; and iv) solution of partial differential equations—parabolic, elliptic, and hyperbolic PDEs. Each section of the book includes exercises to reinforce the concepts, and problems have been added at the end of each chapter. Exercise problems may be solved by using computational tools such as scientific calculators, spreadsheet programs, and MATLAB codes. The detailed coverage and pedagogical tools make this an ideal textbook for students, early career researchers, and professionals.
Book Synopsis Computational Methods and Data Engineering by : Vijayan K. Asari
Download or read book Computational Methods and Data Engineering written by Vijayan K. Asari and published by Springer Nature. This book was released on 2022-09-08 with total page 563 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book features original papers from International Conference on Computational Methods and Data Engineering (ICCMDE 2021), organized by School of Computer Science and Engineering, Vellore Institute of Technology, Vellore, Tamil Nadu, India, during November 25–26, 2021. The book covers innovative and cutting-edge work of researchers, developers, and practitioners from academia and industry working in the area of advanced computing.
Book Synopsis Computational and Statistical Methods for Analysing Big Data with Applications by : Shen Liu
Download or read book Computational and Statistical Methods for Analysing Big Data with Applications written by Shen Liu and published by Academic Press. This book was released on 2015-11-20 with total page 208 pages. Available in PDF, EPUB and Kindle. Book excerpt: Due to the scale and complexity of data sets currently being collected in areas such as health, transportation, environmental science, engineering, information technology, business and finance, modern quantitative analysts are seeking improved and appropriate computational and statistical methods to explore, model and draw inferences from big data. This book aims to introduce suitable approaches for such endeavours, providing applications and case studies for the purpose of demonstration. Computational and Statistical Methods for Analysing Big Data with Applications starts with an overview of the era of big data. It then goes onto explain the computational and statistical methods which have been commonly applied in the big data revolution. For each of these methods, an example is provided as a guide to its application. Five case studies are presented next, focusing on computer vision with massive training data, spatial data analysis, advanced experimental design methods for big data, big data in clinical medicine, and analysing data collected from mobile devices, respectively. The book concludes with some final thoughts and suggested areas for future research in big data. Advanced computational and statistical methodologies for analysing big data are developed Experimental design methodologies are described and implemented to make the analysis of big data more computationally tractable Case studies are discussed to demonstrate the implementation of the developed methods Five high-impact areas of application are studied: computer vision, geosciences, commerce, healthcare and transportation Computing code/programs are provided where appropriate
Book Synopsis Data-Driven Science and Engineering by : Steven L. Brunton
Download or read book Data-Driven Science and Engineering written by Steven L. Brunton and published by Cambridge University Press. This book was released on 2022-05-05 with total page 615 pages. Available in PDF, EPUB and Kindle. Book excerpt: A textbook covering data-science and machine learning methods for modelling and control in engineering and science, with Python and MATLAB®.
Book Synopsis Data-Driven Computational Methods by : John Harlim
Download or read book Data-Driven Computational Methods written by John Harlim and published by Cambridge University Press. This book was released on 2018-07-12 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: Describes computational methods for parametric and nonparametric modeling of stochastic dynamics. Aimed at graduate students, and suitable for self-study.
Book Synopsis Computational Methods for Data Evaluation and Assimilation by : Dan Gabriel Cacuci
Download or read book Computational Methods for Data Evaluation and Assimilation written by Dan Gabriel Cacuci and published by CRC Press. This book was released on 2016-04-19 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data evaluation and data combination require the use of a wide range of probability theory concepts and tools, from deductive statistics mainly concerning frequencies and sample tallies to inductive inference for assimilating non-frequency data and a priori knowledge. Computational Methods for Data Evaluation and Assimilation presents interdiscipli
Book Synopsis Computational Methods for Engineers by : Robert Hayes
Download or read book Computational Methods for Engineers written by Robert Hayes and published by Library Archives Canada. This book was released on 2021-07-13 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: Revolutionary advances in hardware and software technology have made computer aided design and analysis a standard tool in engineering practice. This obviously puts a lot of power in the hands of the end user, in order to use these tools wisely and interpret the results correctly, users are expected to have a sound knowledge of the relationship between the physical world and the mathematical model and that between the mathematical model and the numerical approximation. The text is intended for both senior level undergraduate and first year graduate students without a comprehensive numerical background. Motivation for the text has grown from the authors' need to provide a text which covers both advanced features of numerical methods and specific applications in process and mechanical engineering. An important complement to the text are the MATLAB* algorithms that appear throughout. Soft copies of these algorithms are available at http: //websrv.mece.ualberta.ca/mrflynn/mnhf mfiles/. Students are encouraged to download, run and modify the .m files in question so as to accelerate their understanding of both MATLAB and numerical methods more generally. Also, for students who are new to MATLAB, the material of Appendix A is designed to highlight key features associated with this powerful computational tool
Book Synopsis Data Analytics in System Engineering by : Radek Silhavy
Download or read book Data Analytics in System Engineering written by Radek Silhavy and published by Springer Nature. This book was released on with total page 473 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Computational Engineering - Introduction to Numerical Methods by : Michael Schäfer
Download or read book Computational Engineering - Introduction to Numerical Methods written by Michael Schäfer and published by Springer Nature. This book was released on 2021-07-19 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical simulation methods in all engineering disciplines gains more and more importance. The successful and efficient application of such tools requires certain basic knowledge about the underlying numerical techniques. The text gives a practice-oriented introduction in modern numerical methods as they typically are applied in mechanical, chemical, or civil engineering. Problems from heat transfer, structural mechanics, and fluid mechanics constitute a thematical focus of the text. For the basic understanding of the topic aspects of numerical mathematics, natural sciences, computer science, and the corresponding engineering area are simultaneously important. Usually, the necessary information is distributed in different textbooks from the individual disciplines. In the present text the subject matter is presented in a comprehensive multidisciplinary way, where aspects from the different fields are treated insofar as it is necessary for general understanding. Overarching aspects and important questions related to accuracy, efficiency, and cost effectiveness are discussed. The topics are presented in an introductory manner, such that besides basic mathematical standard knowledge in analysis and linear algebra no further prerequisites are necessary. The book is suitable either for self-study or as an accompanying textbook for corresponding lectures. It can be useful for students of engineering disciplines as well as for computational engineers in industrial practice.
Book Synopsis Computational and Analytic Methods in Science and Engineering by : Christian Constanda
Download or read book Computational and Analytic Methods in Science and Engineering written by Christian Constanda and published by Springer Nature. This book was released on 2020-07-07 with total page 261 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume collects papers presented at a special session of the conference Computational and Mathematical Methods in Science and Engineering (CMMSE) held in Cadiz, Spain from June 30 - July 6, 2019. Covering the applications of integral methods to scientific developments in a variety of fields, ranging from pure analysis to petroleum engineering, the chapters in this volume present new results in both pure and applied mathematics. Written by well-known researchers in their respective disciplines, each chapter shares a common methodology based on a combination of analytic and computational tools. This approach makes the collection a valuable, multidisciplinary reference on how mathematics can be applied to various real-world processes and phenomena. Computational and Analytic Methods in Science and Engineering will be ideal for applied mathematicians, physicists, and research engineers.
Book Synopsis Data Analytics, Computational Statistics, and Operations Research for Engineers by : Debabrata Samanta
Download or read book Data Analytics, Computational Statistics, and Operations Research for Engineers written by Debabrata Samanta and published by CRC Press. This book was released on 2022-03-24 with total page 275 pages. Available in PDF, EPUB and Kindle. Book excerpt: With the rapidly advancing fields of Data Analytics and Computational Statistics, it’s important to keep up with current trends, methodologies, and applications. This book investigates the role of data mining in computational statistics for machine learning. It offers applications that can be used in various domains and examines the role of transformation functions in optimizing problem statements. Data Analytics, Computational Statistics, and Operations Research for Engineers: Methodologies and Applications presents applications of computationally intensive methods, inference techniques, and survival analysis models. It discusses how data mining extracts information and how machine learning improves the computational model based on the new information. Those interested in this reference work will include students, professionals, and researchers working in the areas of data mining, computational statistics, operations research, and machine learning.
