Recent Trends in Computational Engineering - CE2014, Miriam Mehl; Manfred Bischoff; Michael Sch?fer
Автор: Strang Название: Computational Science and Engineering ISBN: 0961408812 ISBN-13(EAN): 9780961408817 Издательство: Cambridge Academ Рейтинг: Цена: 16471.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Encompasses the full range of computational science and engineering from modelling to solution, both analytical and numerical. It develops a framework for the equations and numerical methods of applied mathematics. Gilbert Strang has taught this material to thousands of engineers and scientists (and many more on MIT's OpenCourseWare 18.085-6). His experience is seen in his clear explanations, wide range of examples, and teaching method. The book is solution-based and not formula-based: it integrates analysis and algorithms and MATLAB codes to explain each topic as effectively as possible. The topics include applied linear algebra and fast solvers, differential equations with finite differences and finite elements, Fourier analysis and optimization. This book also serves as a reference for the whole community of computational scientists and engineers. Supporting resources, including MATLAB codes, problem solutions and video lectures from Gilbert Strang's 18.085 courses at MIT, are provided at math.mit.edu/cse.
Автор: Barry Koren; Kees Vuik Название: Advanced Computational Methods in Science and Engineering ISBN: 3642261035 ISBN-13(EAN): 9783642261039 Издательство: Springer Рейтинг: Цена: 27950.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A Model-Order Reduction Approach to Parametric Electromagnetic Inversion.- Shifted-Laplacian Preconditioners for Heterogeneous Helmholtz Problems.- On Numerical Issues in Time Accurate Laminar Reacting Gas Flow Solvers.- Parallel Scientific Computing on Loosely Coupled Networks of Computers.- Data Assimilation Algorithms for Numerical Models.- Radial Basis Functions for Interface Interpolation and Mesh Deformation.- Least-Squares Spectral Element Methods in Computational Fluid Dynamics.- Finite-Volume Discretizations and Immersed Boundaries.- Large Eddy Simulation of Turbulent Non-Premixed Jet Flames with a High Order Numerical Method.- A Suite of Mathematical Models for Bone Ingrowth, Bone Fracture Healing and Intra-Osseous Wound Healing.- Numerical Modeling of the Electromechanical Interaction in MEMS.- Simulation of Progressive Failure in Composite Laminates.- Numerical Modeling of Wave Propagation, Breaking and Run-Up on a Beach.- Hybrid Navier-Stokes/DSMC Simulations of Gas Flows with Rarefied-Continuum Transitions.- Multi-Scale PDE-Based Design of Hierarchically Structured Porous Catalysts.- From Molecular Dynamics and Particle Simulations towards Constitutive Relations for Continuum Theory.
Автор: Ajith Abraham; Swagatam Das Название: Computational Intelligence in Power Engineering ISBN: 364226509X ISBN-13(EAN): 9783642265099 Издательство: Springer Рейтинг: Цена: 26120.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This volume deals with different computational intelligence (CI) techniques for solving real world power industry problems. It will be extremely helpful for the researchers as well as the practicing engineers in the power industry.
This book brings together a rich selection of studies in mathematical modeling and computational intelligence, with application in several fields of engineering, like automation, biomedical, chemical, civil, electrical, electronic, geophysical and mechanical engineering, on a multidisciplinary approach. Authors from five countries and 16 different research centers contribute with their expertise in both the fundamentals and real problems applications based upon their strong background on modeling and computational intelligence. The reader will find a wide variety of applications, mathematical and computational tools and original results, all presented with rigorous mathematical procedures. This work is intended for use in graduate courses of engineering, applied mathematics and applied computation where tools as mathematical and computational modeling, numerical methods and computational intelligence are applied to the solution of real problems.
Описание: This book focuses on the topics which provide the foundation for practicing engineering mathematics: ordinary differential equations, vector calculus, linear algebra and partial differential equations.
Описание: The History of Theoretical, Material and Computational Mechanics - Mathematics meets Mechanics and Engineering
Автор: Nikos Mastorakis; Valeri Mladenov Название: Computational Problems in Engineering ISBN: 3319039660 ISBN-13(EAN): 9783319039664 Издательство: Springer Рейтинг: Цена: 22203.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book presents modern computational techniques for solving problems in electrical, mechanical, civil and chemical engineering. Includes new and advanced methods and variations of known techniques that can solve difficult scientific problems efficiently.
Описание: This book represents a collection of papers presented at the 4th World Congress on Integrated Computational Materials Engineering (ICME 2017), a specialty conference organized by The Minerals, Metals & Materials Society (TMS).
Описание: This book presents cutting-edge concepts, paradigms, and research highlights in the field of computational materials science and engineering, and provides a fresh, up-to-date perspective on solving present and future materials challenges.
Автор: G?nter Hofstetter Название: Computational Engineering ISBN: 3319374761 ISBN-13(EAN): 9783319374765 Издательство: Springer Рейтинг: Цена: 15672.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Barodesy: the next generation of hypo plastic constitutive models for soils.- Constitutive models in finite element codes.- Discretization of integro-differential equations and applications in nonlinear elastodynamics.- Seismic performance of tuned mass dampers with uncertain parameters.- Sensitivity and reliability analysis of engineering structures by sampling based methods.- Multi-phase models in structural engineering.- Multiscale modeling of material systems.- Scientific computing in urban water management.- Computational fluid dynamics in hydraulic engineering.- A genetic algorithm approach for the rigorous registration of arbitrary laser scanned point clouds.
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