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Simulation-Driven Design by Knowledge-Based Response Correction Techniques, Koziel Slawomir, Leifsson Leifur


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Автор: Koziel Slawomir, Leifsson Leifur
Название:  Simulation-Driven Design by Knowledge-Based Response Correction Techniques
ISBN: 9783319807263
Издательство: Springer
Классификация:


ISBN-10: 3319807269
Обложка/Формат: Paperback
Страницы: 262
Вес: 0.39 кг.
Дата издания: 27.05.2018
Язык: English
Издание: Softcover reprint of
Иллюстрации: 94 tables, color; 93 illustrations, color; 74 illustrations, black and white; xi, 262 p. 167 illus., 93 illus. in color.
Размер: 23.39 x 15.60 x 1.47 cm
Читательская аудитория: General (us: trade)
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: Introduction.- Simulation-Driven Design.- Fundamentals of Numerical Optimization.- Introduction to Surrogate-Based Modeling and Surrogate-Based Optimization.- Design Optimization Using Response Correction Techniques.- Surrogate-Based Optimization Using Parametric Response Correction.- Non-Parametric Response Correction Techniques.- Expedited Simulation-Driven Optimization Using Adaptively Adjusted Design Specification.- Surrogate-Assisted Design Optimization Using Response Features.- Enhancing Response Correction Techniques by Adjoint Sensitivity.- Multi-Objective Optimization Using Variable-Fidelity Models and Response Correction.- Physics-Base Surrogate Models Using Response Correction.- Summary and Discussion.- References.


Simulation-Driven Design by Knowledge-Based Response Correction Techniques

Автор: Slawomir Koziel; Leifur Leifsson
Название: Simulation-Driven Design by Knowledge-Based Response Correction Techniques
ISBN: 3319301136 ISBN-13(EAN): 9783319301136
Издательство: Springer
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Цена: 11586.00 р.
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Описание: Introduction.- Simulation-Driven Design.- Fundamentals of Numerical Optimization.- Introduction to Surrogate-Based Modeling and Surrogate-Based Optimization.- Design Optimization Using Response Correction Techniques.- Surrogate-Based Optimization Using Parametric Response Correction.- Non-Parametric Response Correction Techniques.- Expedited Simulation-Driven Optimization Using Adaptively Adjusted Design Specification.- Surrogate-Assisted Design Optimization Using Response Features.- Enhancing Response Correction Techniques by Adjoint Sensitivity.- Multi-Objective Optimization Using Variable-Fidelity Models and Response Correction.- Physics-Base Surrogate Models Using Response Correction.- Summary and Discussion.- References.

Forward Error Correction Based On Algebraic-Geometric Theory

Автор: Jafar A. Alzubi; Omar A. Alzubi; Thomas M. Chen
Название: Forward Error Correction Based On Algebraic-Geometric Theory
ISBN: 3319082922 ISBN-13(EAN): 9783319082929
Издательство: Springer
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Цена: 7978.00 р.
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Описание: Simulation results of Algebraic-geometric codes bit error rate performance using quadrature amplitude modulation (16QAM and 64QAM) are presented for the first time and shown to outperform Reed-Solomon codes at various code rates and channel models.

Forecast Error Correction using Dynamic Data Assimilation

Автор: Lakshmivarahan
Название: Forecast Error Correction using Dynamic Data Assimilation
ISBN: 3319399950 ISBN-13(EAN): 9783319399959
Издательство: Springer
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Цена: 13415.00 р.
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Описание: This book introduces the reader to a new method of data assimilation with deterministic constraints (exact satisfaction of dynamic constraints)—an optimal assimilation strategy called Forecast Sensitivity Method (FSM), as an alternative to the well-known four-dimensional variational (4D-Var) data assimilation method. 4D-Var works with a forward in time prediction model and a backward in time tangent linear model (TLM). The equivalence of data assimilation via 4D-Var and FSM is proven and problems using low-order dynamics clarify the process of data assimilation by the two methods. The problem of return flow over the Gulf of Mexico that includes upper-air observations and realistic dynamical constraints gives the reader a good idea of how the FSM can be implemented in a real-world situation.

Forecast Error Correction Using Dynamic Data Assimilation

Автор: Lakshmivarahan Sivaramakrishnan, Lewis John M., Jabrzemski Rafal
Название: Forecast Error Correction Using Dynamic Data Assimilation
ISBN: 3319820109 ISBN-13(EAN): 9783319820101
Издательство: Springer
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Цена: 13415.00 р.
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Computational Technologies: Advanced Topics

Автор: Petr N. Vabishchevich
Название: Computational Technologies: Advanced Topics
ISBN: 3110359944 ISBN-13(EAN): 9783110359947
Издательство: Walter de Gruyter
Цена: 9288.00 р.
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Описание: This book discusses questions of numerical solutions of applied problems on parallel computing systems. Nowadays, engineering and scientific computations are carried out on parallel computing systems, which provide parallel data processing on a few computing nodes. In the development of up-to-date applied software, this feature of computers must be taken into account for the maximum efficient usage of their resources. In constructing computational algorithms, we should separate relatively independent subproblems in order to solve them on a single computing node.

Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering

Автор: Pijush Samui
Название: Handbook of Research on Advanced Computational Techniques for Simulation-Based Engineering
ISBN: 1466694793 ISBN-13(EAN): 9781466694798
Издательство: Mare Nostrum (Eurospan)
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Цена: 45184.00 р.
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Описание: Examines the latest scholarly research on the application of computational models to improve the quality of engineering design. This volume features extensive coverage of a range of topics from various engineering disciplines, including, but not limited to, soft computing methods, comparative studies, and hybrid approaches.

Knowledge-Based Intelligent Techniques in Character Recognition

Автор: Jain
Название: Knowledge-Based Intelligent Techniques in Character Recognition
ISBN: 084939807X ISBN-13(EAN): 9780849398070
Издательство: Taylor&Francis
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Цена: 36749.00 р.
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Описание: Knowledge-Based Intelligent Techniques in Character Recognition presents research results on intelligent character recognition techniques, reflecting the tremendous worldwide interest in the applications of knowledge-based techniques in this challenging field.

Numerical Simulation-based Design

Автор: Xu Han
Название: Numerical Simulation-based Design
ISBN: 9811030898 ISBN-13(EAN): 9789811030895
Издательство: Springer
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Цена: 18294.00 р.
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Описание:
This book focuses on numerical simulation-based design theory and methods in mechanical engineering. The simulation-based design of mechanical equipment involves considerable scientific challenges including extremely complex systems, extreme working conditions, multi-source uncertainties, multi-physics coupling, and large-scale computation. In order to overcome these technical difficulties, this book systematically elaborates upon the advanced design methods, covering high-fidelity simulation modeling, rapid structural analysis, multi-objective design optimization, uncertainty analysis and optimization, which can effectively improve the design accuracy, efficiency, multi-functionality and reliability of complicated mechanical structures. This book is primarily intended for researchers, engineers and postgraduate students in mechanical engineering, especially in mechanical design, numerical simulation and engineering optimization.

Modeling and simulation-based systems engineering handbook

Название: Modeling and simulation-based systems engineering handbook
ISBN: 1466571454 ISBN-13(EAN): 9781466571457
Издательство: Taylor&Francis
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Цена: 26030.00 р.
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Описание:

The capability modeling and simulation (M&S) supplies for managing systems complexity and investigating systems behaviors has made it a central activity in the development of new and existing systems. However, a handbook that provides established M&S practices has not been available. Until now. Modeling and Simulation-Based Systems Engineering Handbook details the M&S practices for supporting systems engineering in diverse domains. It discusses how you can identify systems engineering needs and adapt these practices to suit specific application domains, thus avoiding redefining practices from scratch.

Although M&S practices are used and embedded within individual disciplines, they are often developed in isolation. However, they address recurring problems common to all disciplines. The editors of this book tackled the challenge by recruiting key representatives from several communities, harmonizing the different perspectives derived from individual backgrounds, and lining them up with the book's vision. The result is a collection of M&S systems engineering examples that offer an initial means for cross-domain capitalization of the knowledge, methodologies, and technologies developed in several communities. These examples provide the pros and cons of the methods and techniques available, lessons learned, and pitfalls to avoid.

As our society moves further in the information era, knowledge and M&S capabilities become key enablers for the engineering of complex systems and systems of systems. Therefore, knowledge and M&S methodologies and technologies become valuable output in an engineering activity, and their cross-domain capitalization is key to further advance the future practices in systems engineering. This book collates information across disciplines to provide you with the tools to more efficiently design and manage complex systems that achieve their goals.

Teaching, Learning, and Leading With Computer Simulations

Автор: Yufeng Qian
Название: Teaching, Learning, and Leading With Computer Simulations
ISBN: 1799800059 ISBN-13(EAN): 9781799800057
Издательство: Mare Nostrum (Eurospan)
Цена: 22037.00 р.
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Описание: Computer simulation, a powerful technological tool and research-proven pedagogical technique, holds great potential to enhance and transform teaching and learning in education and is therefore a viable tool to engage students in deep learning and higher-order thinking. With the advancement of simulation technology (e.g., virtual reality, artificial intelligence, machine learning) and the expanded disciplines where computer simulation is being used (e.g., data science, cyber security), computer simulation is playing an increasingly significant role in leading the digital transformation in K-12 schools and higher education institutions, as well as training and professional development in corporations, government, and the military. Teaching, Learning, and Leading With Computer Simulations is an important compilation of research that examines the recent advancement of simulation technology and explores innovative ways to utilize advanced simulation programs for the enhancement of teaching and learning outcomes. Highlighting a range of topics such as pedagogy, immersive learning, and social sciences, this book is essential for educators, higher education institutions, deans, curriculum designers, school administrators, principals, IT specialists, academicians, researchers, policymakers, and students.

Simulation Tools and Techniques

Автор: Houbing Song; Dingde Jiang
Название: Simulation Tools and Techniques
ISBN: 3030322157 ISBN-13(EAN): 9783030322151
Издательство: Springer
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Цена: 10001.00 р.
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Описание: This volume constitutes the refereed post-conference proceedings of the 11th International Conference on Simulation Tools and Techniques, SIMUTools 2019, held in Chengdu, China, in August 2019. The 97 revised full papers were carefully selected from 156 submissions. The papers focus on simulation methods, simulation techniques, simulation software, simulation performance, modeling formalisms, simulation verification and widely used frameworks.

System Simulation Techniques with MATLAB and Simulink

Автор: Xue
Название: System Simulation Techniques with MATLAB and Simulink
ISBN: 1118647920 ISBN-13(EAN): 9781118647929
Издательство: Wiley
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Цена: 14248.00 р.
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Описание: System Simulation Techniques with MATLAB and Simulink comprehensively explains how to use MATLAB and Simulink to perform dynamic systems simulation tasks for engineering and non-engineering applications.


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