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Snapshot Based Methods And Algorithms


Snapshot Based Methods And Algorithms
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Snapshot Based Methods And Algorithms


Snapshot Based Methods And Algorithms
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Author : Peter Benner
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2020-12-16

Snapshot Based Methods And Algorithms written by Peter Benner and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-16 with Mathematics categories.


An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This second volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.



Snapshot Based Methods And Algorithms


Snapshot Based Methods And Algorithms
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Author : Peter Benner
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2020-12-16

Snapshot Based Methods And Algorithms written by Peter Benner and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-16 with Mathematics categories.


An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This second volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.



System And Data Driven Methods And Algorithms


System And Data Driven Methods And Algorithms
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Author : Peter Benner
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2021-11-08

System And Data Driven Methods And Algorithms written by Peter Benner and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-08 with Mathematics categories.


An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This first volume focuses on real-time control theory, data assimilation, real-time visualization, high-dimensional state spaces and interaction of different reduction techniques.



Computer Supported Cooperative Work And Social Computing


Computer Supported Cooperative Work And Social Computing
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Author : Hailong Sun
language : en
Publisher: Springer Nature
Release Date : 2025-03-04

Computer Supported Cooperative Work And Social Computing written by Hailong Sun and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-04 with Computers categories.


This two part LNCS volumes constitutes the refereed proceedings of the 19th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2024, held in Hohhot, China, in July 12-14, 2024. The 52 full papers and 18 short papers included in this book were carefully reviewed and selected from 200 submissions. They were organized in topical sections as follows : Part-I : Trend; CSCW and Social Computing, and Human-Machine-Things Fusion and Human-AI Collaborative Computing. Part-II : Crowd Cooperative Computing and Evolutionary Computation, and Collaborative Data, Software and Services.



Model Order Reduction And Applications


Model Order Reduction And Applications
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Author : Michael Hinze
language : en
Publisher: Springer Nature
Release Date : 2023-06-20

Model Order Reduction And Applications written by Michael Hinze and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-20 with Mathematics categories.


This book addresses the state of the art of reduced order methods for modelling and computational reduction of complex parametrised systems, governed by ordinary and/or partial differential equations, with a special emphasis on real time computing techniques and applications in various fields. Consisting of four contributions presented at the CIME summer school, the book presents several points of view and techniques to solve demanding problems of increasing complexity. The focus is on theoretical investigation and applicative algorithm development for reduction in the complexity – the dimension, the degrees of freedom, the data – arising in these models. The book is addressed to graduate students, young researchers and people interested in the field. It is a good companion for graduate/doctoral classes.



Proceedings Of The 14th International Conference On Computer Engineering And Networks


Proceedings Of The 14th International Conference On Computer Engineering And Networks
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Author : Guangqiang Yin
language : en
Publisher: Springer Nature
Release Date : 2025-05-07

Proceedings Of The 14th International Conference On Computer Engineering And Networks written by Guangqiang Yin and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-07 with Technology & Engineering categories.


This conference proceedings is a collection of papers accepted for CENet2024 - the 14th International Conference on Computer Engineering and Networks, held in Kashi, China, 18-21 October 2024. The topics covered include Internet of Things and Smart Systems, Artificial Intelligence and Applications, Detection, Analysis and Application of Communication Systems, Cloud Computing and Security, and Medical Engineering and Information Systems. Each section of this book can serve as an excellent reference for industry practitioners, university faculty, research fellows, undergraduate and graduate students who wish to build a knowledge base of the latest advances and state-of-the-art practices in the topics covered. Using this knowledge, they will be able to design, implement and manage systems that are both complex and trustworthy. We would like to thank the authors for their hard work and dedication, and the reviewers for their efforts in ensuring that only the highest quality papers were selected. Without their contributions, the proceedings would not have been possible.



Error Control Adaptive Discretizations And Applications Part 2


Error Control Adaptive Discretizations And Applications Part 2
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Author :
language : en
Publisher: Elsevier
Release Date : 2024-10-31

Error Control Adaptive Discretizations And Applications Part 2 written by and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-31 with Science categories.


Error Control, Adaptive Discretizations, and Applications, Volume 59, Part Two highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Chapters in this release cover hp adaptive Discontinuous Galerkin strategies driven by a posteriori error estimation with application to aeronautical flow problems,An anisotropic mesh adaptation method based on gradient recovery and optimal shape elements, and Model reduction techniques for parametrized nonlinear partial differential equations. - Covers multi-scale modeling - Includes updates on data-driven modeling - Presents the latest information on large deformations of multi-scale materials



Applications


Applications
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Author : Peter Benner
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2020-12-07

Applications written by Peter Benner and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-12-07 with Mathematics categories.


An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This three-volume handbook covers methods as well as applications. This third volume focuses on applications in engineering, biomedical engineering, computational physics and computer science.



Reduced Order Models For The Biomechanics Of Living Organs


Reduced Order Models For The Biomechanics Of Living Organs
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Author : Francisco Chinesta
language : en
Publisher: Elsevier
Release Date : 2023-05-25

Reduced Order Models For The Biomechanics Of Living Organs written by Francisco Chinesta and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-05-25 with Technology & Engineering categories.


Reduced Order Models for the Biomechanics of Living Organs, a new volume in the Biomechanics of Living Organisms series, provides a comprehensive overview of the state-of-the-art in biomechanical computations using reduced order models, along with a deeper understanding of the associated reduction algorithms that will face students, researchers, clinicians and industrial partners in the future. The book gathers perspectives from key opinion scientists who describe and detail their approaches, methodologies and findings. It is the first to synthesize complementary advances in Biomechanical modelling of living organs using reduced order techniques in the design of medical devices and clinical interventions, including surgical procedures. This book provides an opportunity for students, researchers, clinicians and engineers to study the main topics related to biomechanics and reduced models in a single reference, with this volume summarizing all biomechanical aspects of each living organ in one comprehensive reference. - Introduces the fundamental aspects of reduced order models - Presents the main computational studies in the field of solid and fluid biomechanical modeling of living organs - Explores the use of reduced order models in the fields of biomechanical electrophysiology, tissue growth and prosthetic designs



Fundamentals Of Uncertainty Quantification For Engineers


Fundamentals Of Uncertainty Quantification For Engineers
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Author : Yan Wang
language : en
Publisher: Elsevier
Release Date : 2025-05-30

Fundamentals Of Uncertainty Quantification For Engineers written by Yan Wang and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-30 with Technology & Engineering categories.


Fundamentals of Uncertainty Quantification for Engineers: Methods and Models provides a comprehensive introduction to uncertainty quantification (UQ) accompanied by a wide variety of applied examples and implementation details to reinforce the concepts outlined in the book. Sections start with an introduction to the history of probability theory and an overview of recent developments of UQ methods in the domains of applied mathematics and data science. Major concepts of copula, Monte Carlo sampling, Markov chain Monte Carlo, polynomial regression, Gaussian process regression, polynomial chaos expansion, stochastic collocation, Bayesian inference, modelform uncertainty, multi-fidelity modeling, model validation, local and global sensitivity analyses, linear and nonlinear dimensionality reduction are included. Advanced UQ methods are also introduced, including stochastic processes, stochastic differential equations, random fields, fractional stochastic differential equations, hidden Markov model, linear Gaussian state space model, as well as non-probabilistic methods such as robust Bayesian analysis, Dempster-Shafer theory, imprecise probability, and interval probability. The book also includes example applications in multiscale modeling, reliability, fatigue, materials design, machine learning, and decision making. • Introduces all major topics of uncertainty quantification with engineering examples and implementation details• Features examples from a wide variety of science and engineering disciplines (e.g., fluids, structural dynamics, materials, manufacturing, multiscale simulation)• Discusses sampling methods, surrogate modeling, stochastic expansion, sensitivity analysis, dimensionality reduction and more