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Bayesian Optimization for Materials Science, Daniel Packwood


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Автор: Daniel Packwood
Название:  Bayesian Optimization for Materials Science
ISBN: 9789811067808
Издательство: Springer
Классификация:


ISBN-10: 9811067805
Обложка/Формат: Paperback
Страницы: 42
Вес: 0.09 кг.
Дата издания: 05.11.2017
Серия: SpringerBriefs in the Mathematics of Materials
Язык: English
Издание: 1st ed. 2017
Иллюстрации: 15 tables, color; 12 illustrations, color; 4 illustrations, black and white; viii, 42 p. 16 illus., 12 illus. in color.
Размер: 234 x 156 x 3
Читательская аудитория: Professional & vocational
Основная тема: Materials Science
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Finally, Chapter 3 discusses an application of Bayesian optimization to a complicated structure optimization problem in computational surface science.Bayesian optimization is a promising global optimization technique that originates in the field of machine learning and is starting to gain attention in materials science.

Convex Optimization

Автор: Stephen Boyd
Название: Convex Optimization
ISBN: 0521833787 ISBN-13(EAN): 9780521833783
Издательство: Cambridge Academ
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Цена: 119670.00 T
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Описание: The focus of this book is on recognizing convex optimization problems and then finding the most appropriate technique for solving them. It contains many worked examples and homework exercises and will appeal to students, researchers and practitioners in fields such as engineering, computer science, mathematics, statistics, finance and economics.

A First Course in Optimization Theory

Автор: Sundaram, Rangarajan K.
Название: A First Course in Optimization Theory
ISBN: 0521497701 ISBN-13(EAN): 9780521497701
Издательство: Cambridge Academ
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Цена: 45410.00 T
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Описание: This book, first published in 1996, introduces students to optimization theory and its use in economics and allied disciplines.

Multiscale Modelling and Optimization of Materials and Structures

Автор: Burczynski
Название: Multiscale Modelling and Optimization of Materials and Structures
ISBN: 1119975921 ISBN-13(EAN): 9781119975922
Издательство: Wiley
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Цена: 119270.00 T
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Описание: Addresses the topical, crucial and original subject of parameter identification and optimization within multiscale modeling methods. This book presents an area of research that enables the design of materials and structures with better quality, strength and performance parameters. It describes micro and nano scale models along with case studies.

Combinatorial Optimization / Polyhedra and Efficiency

Автор: Schrijver Alexander
Название: Combinatorial Optimization / Polyhedra and Efficiency
ISBN: 3540443894 ISBN-13(EAN): 9783540443896
Издательство: Springer
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Цена: 113660.00 T
Наличие на складе: Поставка под заказ.
Описание: This book offers an in-depth overview of polyhedral methods and efficient algorithms in combinatorial optimization.These methods form a broad, coherent and powerful kernel in combinatorial optimization, with strong links to discrete mathematics, mathematical programming and computer science. In eight parts, various areas are treated, each starting with an elementary introduction to the area, with short, elegant proofs of the principal results, and each evolving to the more advanced methods and results, with full proofs of some of the deepest theorems in the area. Over 4000 references to further research are given, and historical surveys on the basic subjects are presented.

Introductory Lectures on Convex Optimization / A Basic Course

Автор: Nesterov Y.
Название: Introductory Lectures on Convex Optimization / A Basic Course
ISBN: 1402075537 ISBN-13(EAN): 9781402075537
Издательство: Springer
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Цена: 121110.00 T
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Описание: This is the first elementary exposition of the main ideas of complexity theory for convex optimization. Up to now, most of the material can be found only in special journals and research monographs. The book covers optimal methods and lower complexity bounds for smooth and non-smooth convex optimization. A separate chapter is devoted to polynomial-time interior-point methods. Audience: The book is suitable for industrial engineers and economists.

Handbook of Combinatorial Optimization. Print + eReference Information   Print + eReference

Название: Handbook of Combinatorial Optimization. Print + eReference Information Print + eReference
ISBN: 1461439752 ISBN-13(EAN): 9781461439752
Издательство: Springer
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Цена: 2911560.00 T
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Описание: Handbook of Combinatorial Optimization

Ceramic Materials

Автор: Carter C Barry
Название: Ceramic Materials
ISBN: 1461435226 ISBN-13(EAN): 9781461435228
Издательство: Springer
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Цена: 88470.00 T
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Описание: Ceramic Materials: Science and Engineering is an up-to-date treatment of ceramic science, engineering, and applications in a single, comprehensive text.

Synthesis and Optimization of Chalcogenides Quantum Dots Thermoelectric Materials

Автор: Chong Xiao
Название: Synthesis and Optimization of Chalcogenides Quantum Dots Thermoelectric Materials
ISBN: 3662496151 ISBN-13(EAN): 9783662496152
Издательство: Springer
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Цена: 93160.00 T
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Описание: This thesis focuses onchalcogenide compoundquantum dots with special crystal structures and behaviors inan effort to achieve the synergistic optimization of electrical andthermal transport for high-efficiency thermoelectric materials.

Multiscale Structural Topology Optimization

Автор: Xia Liang
Название: Multiscale Structural Topology Optimization
ISBN: 1785481002 ISBN-13(EAN): 9781785481000
Издательство: Elsevier Science
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Цена: 77470.00 T
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Описание: Multiscale Structural Topology Optimization discusses the development of a multiscale design framework for topology optimization of multiscale nonlinear structures. With the intention to alleviate the heavy computational burden of the design framework, the authors present a POD-based adaptive surrogate model for the RVE solutions at the microscopic scale and make a step further towards the design of multiscale elastoviscoplastic structures. . Various optimization methods for structural size, shape, and topology designs have been developed and widely employed in engineering applications. Topology optimization has been recognized as one of the most effective tools for least weight and performance design, especially in aeronautics and aerospace engineering. . This book focuses on the simultaneous design of both macroscopic structure and microscopic materials. In this model, the material microstructures are optimized in response to the macroscopic solution, which results in the nonlinearity of the equilibrium problem of the interface of the two scales. The authors include a reduce database model from a set of numerical experiments in the space of effective strain.

Computational Materials Engineering

Автор: Maciej Pietrzyk
Название: Computational Materials Engineering
ISBN: 0124167071 ISBN-13(EAN): 9780124167070
Издательство: Elsevier Science
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Цена: 132500.00 T
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Описание:

Computational Materials Engineering: Achieving High Accuracy and Efficiency in Metals Processing Simulations describes the most common computer modeling and simulation techniques used in metals processing, from so-called "fast" models to more advanced multiscale models, also evaluating possible methods for improving computational accuracy and efficiency.

Beginning with a discussion of conventional fast models like internal variable models for flow stress and microstructure evolution, the book moves on to advanced multiscale models, such as the CAFE method, which give insights into the phenomena occurring in materials in lower dimensional scales.

The book then delves into the various methods that have been developed to deal with problems, including long computing times, lack of proof of the uniqueness of the solution, difficulties with convergence of numerical procedures, local minima in the objective function, and ill-posed problems. It then concludes with suggestions on how to improve accuracy and efficiency in computational materials modeling, and a best practices guide for selecting the best model for a particular application.


  • Presents the numerical approaches for high-accuracy calculations
  • Provides researchers with essential information on the methods capable of exact representation of microstructure morphology
  • Helpful to those working on model classification, computing costs, heterogeneous hardware, modeling efficiency, numerical algorithms, metamodeling, sensitivity analysis, inverse method, clusters, heterogeneous architectures, grid environments, finite element, flow stress, internal variable method, microstructure evolution, and more
  • Discusses several techniques to overcome modeling and simulation limitations, including distributed computing methods, (hyper) reduced-order-modeling techniques, regularization, statistical representation of material microstructure, and the Gaussian process
  • Covers both software and hardware capabilities in the area of improved computer efficiency and reduction of computing time

IUTAM Symposium on Topological Design Optimization of Structures, Machines and Materials

Автор: Martin Philip Bendsoe; Niels Olhoff; Ole Sigmund
Название: IUTAM Symposium on Topological Design Optimization of Structures, Machines and Materials
ISBN: 9048171822 ISBN-13(EAN): 9789048171828
Издательство: Springer
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Цена: 325160.00 T
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Описание: The papers cover the application of topological design optimization to fluid-solid interaction problems, acoustics problems, and to problems in biomechanics, as well as to other multiphysics problems.

Computational Modeling, Optimization and Manufacturing Simulation of Advanced Engineering Materials

Автор: Mu?oz-Rojas
Название: Computational Modeling, Optimization and Manufacturing Simulation of Advanced Engineering Materials
ISBN: 3319042645 ISBN-13(EAN): 9783319042640
Издательство: Springer
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Цена: 139310.00 T
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Описание: This volume presents recent research work focused in the development of adequate theoretical and numerical formulations to describe the behavior of advanced engineering materials. Particular emphasis is devoted to applications in the fields of biological tissues, phase changing and porous materials, polymers and to micro/nano scale modeling. Sensitivity analysis, gradient and non-gradient based optimization procedures are involved in many of the chapters, aiming at the solution of constitutive inverse problems and parameter identification. All these relevant topics are exposed by experienced international and inter institutional research teams resulting in a high level compilation. The book is a valuable research reference for scientists, senior undergraduate and graduate students, as well as for engineers acting in the area of computational material modeling.


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