Advanced Computing in Industrial Mathematics, Georgiev
Автор: Krassimir Georgiev; Michail Todorov; Ivan Georgiev Название: Advanced Computing in Industrial Mathematics ISBN: 3319495437 ISBN-13(EAN): 9783319495439 Издательство: Springer Рейтинг: Цена: 17074.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents recent research on Advanced Computing in Industrial Mathematics, which is one of the most prominent interdisciplinary areas and combines mathematics, computer science, scientific computations, engineering, physics, chemistry, medicine, etc.
Автор: Krassimir Georgiev; Michail Todorov; Ivan Georgiev Название: Advanced Computing in Industrial Mathematics ISBN: 3319655299 ISBN-13(EAN): 9783319655291 Издательство: Springer Рейтинг: Цена: 17074.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents recent research on Advanced Computing in Industrial Mathematics, which is one of the most prominent interdisciplinary areas, bringing together mathematics, computer science, scientific computations, engineering, physics, chemistry, medicine, etc.
Автор: Krassimir Georgiev; Michail Todorov; Ivan Georgiev Название: Advanced Computing in Industrial Mathematics ISBN: 3319972766 ISBN-13(EAN): 9783319972763 Издательство: Springer Рейтинг: Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book gathers the peer-reviewed proceedings of the 12th Annual Meeting of the Bulgarian Section of the Society for Industrial and Applied Mathematics, BGSIAM’17, held in Sofia, Bulgaria, in December 2017. The general theme of BGSIAM’17 was industrial and applied mathematics, with a particular focus on: high-performance computing, numerical methods and algorithms, analysis of partial differential equations and their applications, mathematical biology, control and uncertain systems, stochastic models, molecular dynamics, neural networks, genetic algorithms, metaheuristics for optimization problems, generalized nets, and Big Data.
Описание: Design of a multi-objective optimization model for Wireless Sensor Networks.- Cross-Validated Sequentially Constructed Multiple Regression with Centered Predictors.- Non-local nonlinear perturbation analysis for a nonlinear matrix equation arising in Tree-Like stochastic processes.- One parameter family of elliptic curves and the equation x4 + y4 + kx2 y2 = z2.- An inner product free solution method for an equation of motion with indefinite matrices.
Описание: This book presents recent research on Advanced Computing in Industrial Mathematics, which is one of the most prominent interdisciplinary areas and combines mathematics, computer science, scientific computations, engineering, physics, chemistry, medicine, etc.
Описание: This book gathers the peer-reviewed proceedings of the 13th Annual Meeting of the Bulgarian Section of the Society for Industrial and Applied Mathematics, BGSIAM'18, held in Sofia, Bulgaria. The general theme of BGSIAM'18 was industrial and applied mathematics with particular focus on: mathematical physics, numerical analysis, high performance computing, optimization and control, mathematical biology, stochastic modeling, machine learning, digitization and imaging, advanced computing in environmental, biomedical and engineering applications.
Автор: Michael Griebel; Anton Sch?ller; Marc Alexander Sc Название: Scientific Computing and Algorithms in Industrial Simulations ISBN: 3319624571 ISBN-13(EAN): 9783319624570 Издательство: Springer Рейтинг: Цена: 14635.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The contributions gathered here provide an overview of current research projects and selected software products of the Fraunhofer Institute for Algorithms and Scientific Computing SCAI.
Автор: Langer Название: Scientific Computing in Electrical Engineering ISBN: 3319755374 ISBN-13(EAN): 9783319755373 Издательство: Springer Рейтинг: Цена: 12196.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Foreword.- Preface.- Acknowledgements.- Part I Computational Electromagnetics: 1 Preliminary Numerical Study on Electrical Stimulation at Alloplastic Reconstruction Plates of the Mandible by Ursula van Rienen et al.- 2 Evaluation of Capacitive EMG Sensor Geometries by Simulation and Measurement by Theresa Roland et al.- 3 Stability Analysis of Electromagnetic Transient Simulations by Wim Schoenmaker et al.- 4 Sensitivity of Lumped Parameters to Geometry Changes in Finite Element Models by Sebastian Schuhmacher et al.- 5 Electro-Thermal Simulations with Skin-Layers and Contacts by Christoph Winkelmann et al.- Part II Circuit and Device Modelling & Simulation: 6 Gradient-Enhanced Polynomial Chaos Methods for Circuit Simulation by Eric R. Keiter et al.- 7 Coupled Circuit Device Simulation by Kai Bittner et al.- Part III Coupled Problems and Multi-Scale Approaches in Space and Time: 8 Density Estimation Techniques in Cosimulation Using Spectral- and Kernel Methods by Kai Gausling et al.- 9 Multirate DAE/ODE-Simulation and Model Order Reduction for Coupled Field-Circuit Systems by Christoph Hachtel et al.- 10 Modelling and Simulation of Electrically Controlled Droplet Dynamics by Yun Ouйdraogo et al.-Part IV Mathematical and Computational Methods Including Uncertainty Quantification: 11 Multirate Shooting Method with Frequency Sweep for Circuit Simulation by Kai Bittner et al.- 12 A Trefftz Method for the Time-Harmonic Eddy Current Equation by Raffael Casagrande et al.- 13 Survey on Semi-Explicit Time Integration of Eddy Current Problems by Jennifer Dutinй et al.- 14 A Local Mesh Modification Strategy for Interface Problems with Application to Shape and Topology Optimization by Peter Gangl et al.- 15 Numerical Methods for Derivative-Based Global Sensitivity Analysis in High Dimensions by Qingzhe Liu et al.- 16 Fitting Generalized Gaussian Distributions for Process Capability Index by Theo G.J. Beelen et al.- 17 Robust Optimization of an RFIC Isolation Problem Under Uncertainties by Piotr Putek et al.- Part V Model Order Reduction: 18 Sparse Model Order Reduction for Electro-Thermal Problems with Many Inputs by Nicodemus Banagaaya et al.- 19 Quadrature Methods and Model Order Reduction for Sparse Approximations in Random Linear Dynamical Systems by Roland Pulch.- 20 POD-Based Reduced-Order Model of an Eddy-Current Levitation Problem by MD Rokibul Hasan et al.- 21 Time-Domain Reduced-Order Modelling of Linear Finite-Element Eddy-Current Problems via RL-Ladder Circuits by Ruth V. Sabariego et al.- Part VI Industrial Applications: 22 A Lagrangian Approach to the Simulation of a Constricted Vacuum Arc in a Magnetic Field by Massimiliano Cremonesi et al.- 23 Virtual High Voltage Lab by Andreas Blaszczyk et al.- Index.
Описание: This edited monograph collects research contributions and addresses the advancement of efficient numerical procedures in the area of model order reduction (MOR) for simulation, optimization and control. The topical scope includes, but is not limited to, new out-of-the-box algorithmic solutions for scientific computing, e.g. reduced basis methods for industrial problems and MOR approaches for electrochemical processes. The target audience comprises research experts and practitioners in the field of simulation, optimization and control, but the book may also be beneficial for graduate students alike.
Автор: Athanasios C. Antoulas Название: Interpolatory Methods for Model Reduction ISBN: 1611976073 ISBN-13(EAN): 9781611976076 Издательство: Mare Nostrum (Eurospan) Рейтинг: Цена: 10220.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Dynamical systems are a principal tool in the modeling, prediction, and control of a wide range of complex phenomena. As the need for improved accuracy leads to larger and more complex dynamical systems, direct simulation often becomes the only available strategy for accurate prediction or control, inevitably creating a considerable burden on computational resources. This is the main context where one considers model reduction, seeking to replace large systems of coupled differential and algebraic equations that constitute high fidelity system models with substantially fewer equations that are crafted to control the loss of fidelity that order reduction may induce in the system response. Interpolatory methods are among the most widely used model reduction techniques, and Interpolatory Methods for Model Reduction is the first comprehensive analysis of this approach available in a single, extensive resource. It introduces state-of-the-art methods reflecting significant developments over the past two decades, covering both classical projection frameworks for model reduction and data-driven, nonintrusive frameworks.This textbook is appropriate for a wide audience of engineers and other scientists working in the general areas of large-scale dynamical systems and data-driven modeling of dynamics.
Автор: Michael Griebel; Anton Sch?ller; Marc Alexander Sc Название: Scientific Computing and Algorithms in Industrial Simulations ISBN: 3319873172 ISBN-13(EAN): 9783319873176 Издательство: Springer Рейтинг: Цена: 14635.00 р. Наличие на складе: Нет в наличии.
Описание: The contributions gathered here provide an overview of current research projects and selected software products of the Fraunhofer Institute for Algorithms and Scientific Computing SCAI.
Автор: Hoai An Le Thi; Ngoc Thanh Nguyen; Tien Van Do Название: Advanced Computational Methods for Knowledge Engineering ISBN: 3319179950 ISBN-13(EAN): 9783319179957 Издательство: Springer Рейтинг: Цена: 18294.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume contains the extended versions of papers presented at the 3rd International Conference on Computer Science, Applied Mathematics and Applications (ICCSAMA 2015) held on 11-13 May, 2015 in Metz, France.
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