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EBookClubs

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Book Acta Numerica 2020  Volume 29

Download or read book Acta Numerica 2020 Volume 29 written by Arieh Iserles and published by Cambridge University Press. This book was released on 2021-01-31 with total page 762 pages. Available in PDF, EPUB and Kindle. Book excerpt: Acta Numerica is an annual publication containing invited survey papers by leading researchers in numerical mathematics and scientific computing. The papers present overviews of recent developments in their area and provide state-of-the-art techniques and analysis.

Book A3N2M  Approximation  Applications  and Analysis of Nonlocal  Nonlinear Models

Download or read book A3N2M Approximation Applications and Analysis of Nonlocal Nonlinear Models written by Tadele Mengesha and published by Springer Nature. This book was released on 2023-09-12 with total page 325 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume collects papers based on plenary and invited talks given at the 50th Barrett Memorial Lectures on Approximation, Applications, and Analysis of Nonlocal, Nonlinear Models that was organized by the University of Tennessee, Knoxville and held virtually in May 2021. The three-day meeting brought together experts from the computational, scientific, engineering, and mathematical communities who work with nonlocal models. These proceedings collect contributions and give a survey of the state of the art in computational practices, mathematical analysis, applications of nonlocal models, and explorations of new application domains. The volume benefits from the mixture of contributions by computational scientists, mathematicians, and application specialists. The content is suitable for graduate students as well as specialists working with nonlocal models and covers topics on fractional PDEs, regularity theory for kinetic equations, approximation theory for fractional diffusion, analysis of nonlocal diffusion model as a bridge between local and fractional PDEs, and more.

Book Numerical Analysis meets Machine Learning

Download or read book Numerical Analysis meets Machine Learning written by and published by Elsevier. This book was released on 2024-06-13 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: Numerical Analysis Meets Machine Learning series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors. Provides the authority and expertise of leading contributors from an international board of authors Presents the latest release in the Handbook of Numerical Analysis series Updated release includes the latest information on the Numerical Analysis Meets Machine Learning

Book Nonlocal Integral Equation Continuum Models

Download or read book Nonlocal Integral Equation Continuum Models written by Marta D'Elia and published by SIAM. This book was released on 2024-09-12 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book presents the state of the art of nonlocal modeling and discretization and provides a practical introduction to nonlocal modeling for readers who are not familiar with such models. These models have recently become a viable alternative to classical partial differential equations when the latter are unable to capture effects such as discontinuities and multiscale behavior in a system of interest. Because of their integral nature, nonlocal operators allow for the relaxation of regularity requirements on the solution and thus allow for the capture of multiscale effects, the result of which is their successful use in many scientific and engineering applications. The book also provides a thorough analysis and numerical treatment of nonstandard nonlocal models, focusing on both well-known and nonstandard interaction neighborhoods. In addition, the book delivers an extensive practical treatment of the implementation of discretization strategies via finite element methods. Numerous figures are provided as concrete examples to illustrate both the analytic and computational results. Nonlocal Integral Equation Continuum Models: Nonstandard Interaction Neighborhoods and Finite Element Discretizations is intended for mathematical and application researchers interested in alternatives to using partial differential equation models that better describe the phenomena they are interested in. The book will also be of use to computational scientists and engineers who need to make sense of how to use available software, improve existing software, or develop new software tailored to their application interests.

Book Application of Soft Computing Techniques in Mechanical Engineering

Download or read book Application of Soft Computing Techniques in Mechanical Engineering written by Amar Patnaik and published by CRC Press. This book was released on 2022-12-14 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text covers the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of mechanical engineering. It covers important topics including computational fluid dynamics for advanced thermal systems, optimizing performance parameters by Fuzzy logic, design of experiments, numerical simulation, and optimizing flow network by artificial intelligence. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including industrial, manufacturing, computer, mechanical, and materials science. The book- Introduces novel soft computing techniques needed to address sustainable solutions for the issues related to materials and manufacturing process. Provides perspectives for the design, development, and commissioning of intelligent applications. Discusses the latest intelligent technologies and algorithms related to the state-of-the-art methodologies of monitoring and mitigation of sustainable engineering. Explores future generation sustainable and intelligent monitoring techniques beneficial for mechanical engineering. Covers implementation of soft computing in the various areas of engineering applications. This book introduces soft computing techniques in addressing sustainable solutions for the issues related to materials and manufacturing process. It will serve as an ideal reference text for graduate students and academic researchers in diverse engineering fields including industrial, manufacturing, thermal, fluid, and materials science.

Book Computational Algorithms for Shallow Water Equations

Download or read book Computational Algorithms for Shallow Water Equations written by Eleuterio F. Toro and published by Springer Nature. This book was released on with total page 413 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Three Dimensional Navier Stokes Equations for Turbulence

Download or read book Three Dimensional Navier Stokes Equations for Turbulence written by Luigi C. Berselli and published by Academic Press. This book was released on 2021-03-10 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Three-Dimensional Navier-Stokes Equations for Turbulence provides a rigorous but still accessible account of research into local and global energy dissipation, with particular emphasis on turbulence modeling. The mathematical detail is combined with coverage of physical terms such as energy balance and turbulence to make sure the reader is always in touch with the physical context. All important recent advancements in the analysis of the equations, such as rigorous bounds on structure functions and energy transfer rates in weak solutions, are addressed, and connections are made to numerical methods with many practical applications. The book is written to make this subject accessible to a range of readers, carefully tackling interdisciplinary topics where the combination of theory, numerics, and modeling can be a challenge. - Includes a comprehensive survey of modern reduced-order models, including ones for data assimilation - Includes a self-contained coverage of mathematical analysis of fluid flows, which will act as an ideal introduction to the book for readers without mathematical backgrounds - Presents methods and techniques in a practical way so they can be rapidly applied to the reader's own work

Book Computational Science     ICCS 2020

Download or read book Computational Science ICCS 2020 written by Valeria V. Krzhizhanovskaya and published by Springer Nature. This book was released on 2020-06-19 with total page 679 pages. Available in PDF, EPUB and Kindle. Book excerpt: The seven-volume set LNCS 12137, 12138, 12139, 12140, 12141, 12142, and 12143 constitutes the proceedings of the 20th International Conference on Computational Science, ICCS 2020, held in Amsterdam, The Netherlands, in June 2020.* The total of 101 papers and 248 workshop papers presented in this book set were carefully reviewed and selected from 719 submissions (230 submissions to the main track and 489 submissions to the workshops). The papers were organized in topical sections named: Part I: ICCS Main Track Part II: ICCS Main Track Part III: Advances in High-Performance Computational Earth Sciences: Applications and Frameworks; Agent-Based Simulations, Adaptive Algorithms and Solvers; Applications of Computational Methods in Artificial Intelligence and Machine Learning; Biomedical and Bioinformatics Challenges for Computer Science Part IV: Classifier Learning from Difficult Data; Complex Social Systems through the Lens of Computational Science; Computational Health; Computational Methods for Emerging Problems in (Dis-)Information Analysis Part V: Computational Optimization, Modelling and Simulation; Computational Science in IoT and Smart Systems; Computer Graphics, Image Processing and Artificial Intelligence Part VI: Data Driven Computational Sciences; Machine Learning and Data Assimilation for Dynamical Systems; Meshfree Methods in Computational Sciences; Multiscale Modelling and Simulation; Quantum Computing Workshop Part VII: Simulations of Flow and Transport: Modeling, Algorithms and Computation; Smart Systems: Bringing Together Computer Vision, Sensor Networks and Machine Learning; Software Engineering for Computational Science; Solving Problems with Uncertainties; Teaching Computational Science; UNcErtainty QUantIficatiOn for ComputationAl modeLs *The conference was canceled due to the COVID-19 pandemic.

Book Compressed Sensing in Information Processing

Download or read book Compressed Sensing in Information Processing written by Gitta Kutyniok and published by Springer Nature. This book was released on 2022-10-20 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: This contributed volume showcases the most significant results obtained from the DFG Priority Program on Compressed Sensing in Information Processing. Topics considered revolve around timely aspects of compressed sensing with a special focus on applications, including compressed sensing-like approaches to deep learning; bilinear compressed sensing - efficiency, structure, and robustness; structured compressive sensing via neural network learning; compressed sensing for massive MIMO; and security of future communication and compressive sensing.

Book Computer Vision     ECCV 2020

Download or read book Computer Vision ECCV 2020 written by Andrea Vedaldi and published by Springer Nature. This book was released on 2020-11-29 with total page 845 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.

Book Vibration Engineering and Technology of Machinery  Volume II

Download or read book Vibration Engineering and Technology of Machinery Volume II written by Rajiv Tiwari and published by Springer Nature. This book was released on with total page 577 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Book Reliability based Modeling of System Performance

Download or read book Reliability based Modeling of System Performance written by Abdelkhalak El Hami and published by John Wiley & Sons. This book was released on 2023-10-10 with total page 228 pages. Available in PDF, EPUB and Kindle. Book excerpt: Probabilistic modeling of system performance, built primarily on the foundation of reliability theory, is referred to as reliability-based modeling. This book progressively builds up the functional complexity of system modeling. It starts by modeling the simplest system that can be designed, and then moves to the functional modeling of the multi-state system, step-by-step. Reliability-based Modeling of System Performance deals with modeling the functioning of systems by presenting its concepts, methods and mathematical tools. It is accessible to engineering students and academics who have already acquired basic knowledge of probability theory, applied statistics, differential calculus, integrals, combinatorial calculus and Boolean algebra.

Book Geometry and Vision

    Book Details:
  • Author : Minh Nguyen
  • Publisher : Springer Nature
  • Release : 2021-03-17
  • ISBN : 303072073X
  • Pages : 394 pages

Download or read book Geometry and Vision written by Minh Nguyen and published by Springer Nature. This book was released on 2021-03-17 with total page 394 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes selected papers from the First International Symposium on Geometry and Vision, ISGV 2021, held in Auckland, New Zealand, in January 2021. Due to the COVID-19 pandemic the conference was held in partially virtual format. The 29 papers were thoroughly reviewed and selected from 50 submissions. They cover topics in areas of digital geometry, graphics, image and video technologies, computer vision, and multimedia technologies.

Book Sustainable Material  Design  and Process

Download or read book Sustainable Material Design and Process written by Ravi Kant and published by CRC Press. This book was released on 2023-09-07 with total page 253 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text emphasizes the importance of sustainable material, design, and manufacturing processes, and how the needs are changing day by day. It comprehensively covers important topics including material recycling, optimal utilization of resources, green materials, biocomposites, clean and green synthesis, stable material properties, utilization of renewable energy sources, ergonomic design, and sustainable design. The text examines the design process, manufacturing, and upscaling of next-generation materials and their application in diverse industries. The text is primarily written for graduate students and academic researchers in the fields of manufacturing engineering, materials science, mechanical engineering, and environmental engineering. Presents an in-depth understanding of the progress of the need for new innovative and next-generation materials. Discusses biocomposites and green materials for eco-friendly products in a comprehensive manner. Explores recycling techniques of materials for sustainable manufacturing. Presents conceptual framework of sustainable product development. Covers important topics such as process optimization, renewable energy, and 3D printing in detail. The text discusses the designing process of these new materials, manufacturing, and upscaling of these materials along with their selection for industrial applications. It further focuses on improving surface homogeneity in nanoparticle scattering during dip coating for stable and efficient wettability during oil/water separation. It will serve as an ideal reference text for graduate students and academic researchers in the fields of manufacturing engineering, materials science, mechanical engineering, and environmental engineering.

Book Advances in Numerical Methods for Hyperbolic Balance Laws and Related Problems

Download or read book Advances in Numerical Methods for Hyperbolic Balance Laws and Related Problems written by Giacomo Albi and published by Springer Nature. This book was released on 2023-06-02 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: A broad range of phenomena in science and technology can be described by non-linear partial differential equations characterized by systems of conservation laws with source terms. Well known examples are hyperbolic systems with source terms, kinetic equations, and convection-reaction-diffusion equations. This book collects research advances in numerical methods for hyperbolic balance laws and kinetic equations together with related modelling aspects. All the contributions are based on the talks of the speakers of the Young Researchers’ Conference “Numerical Aspects of Hyperbolic Balance Laws and Related Problems”, hosted at the University of Verona, Italy, in December 2021.

Book Deformation and Fracture in Materials

Download or read book Deformation and Fracture in Materials written by Anoop Kumar Mukhopadhyay and published by CRC Press. This book was released on 2024-08-27 with total page 373 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides information on the basics of deformation and fracture in materials and on current, state-of-the-art experimental and numerical/theoretical methods, including data-driven approaches in the deformation and fracture study of materials. The blend of experimental test methods and numerical techniques to study deformation and fracture in materials is discussed. In addition, the application of data-driven approaches in predicting material performance in different types of loading and loading environments is illustrated. Features: Includes clear insights on deformation and fracture in materials, with clear explanations of mechanics and defects relating to them Provides effective treatments of modern numerical simulation methods Explores applications of data-driven approaches such as artificial intelligence, machine learning, and computer vision Reviews simple and basic experimental techniques to understand the concepts of deformation and fracture in materials Details modeling and simulation strategies of mechanics of materials at different scales This book is aimed at researchers and graduate students in fracture mechanics, finite element methods, and materials science.

Book Chemometrics and Numerical Methods in LIBS

Download or read book Chemometrics and Numerical Methods in LIBS written by Vincenzo Palleschi and published by John Wiley & Sons. This book was released on 2022-10-25 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Chemometrics and Numerical Methods in LIBS A practical guide to the application of chemometric methods to solve qualitative and quantitative problems in LIBS analyses Chemometrics and Numerical Methods in LIBS, delivers an authoritative and practical exploration of the use of advanced chemometric methods to laser-induced breakdown spectroscopy (LIBS) cases. The book discusses the fundamentals of chemometrics before moving on to solutions that can be applied to data analysis methods. It is a concise guide designed to help readers at all levels of knowledge solve commonly encountered problems in the field. The book includes three sections: LIBS information simplification, LIBS classification, and quantitative analysis by LIBS. Each section of the book is divided into a description of relevant techniques and practical examples of its applications. Contributors to this edited volume are the most recognized international experts on the chemometric techniques relevant to LIBS analysis. Chemometrics and Numerical Methods in LIBS also includes: A thorough introduction to the simplification of LIBS information, including principal component analysis, independent component analysis, and parallel factor analysis Comprehensive explorations of classification by LIBS, including spectral angle mapping, linear discriminant analysis, graph clustering, self-organizing maps, and artifical neural networks Practical discussions of linear methods for quantitative analysis by LIBS, including calibration curves, partial least squares regression, and limit of detection In-depth examinations of multivariate analysis and non-linear methods, including calibration-free LIBS, the non-linear Kalman filter, artificial and convolutional neural networks for quantification Relevant for researchers and PhD students seeking practical information on the application of advanced statistical methods to the analysis of LIBS spectra, Chemometrics and Numerical Methods in LIBS will also earn a place in the libraries of students taking courses involving LIBS spectro-analytical techniques