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Representations of Discrete Functions, Tsutomu Sasao; Masahira Fujita


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Цена: 16769.00р.
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Автор: Tsutomu Sasao; Masahira Fujita   (Цутому Сасао)
Название:  Representations of Discrete Functions
Перевод названия: Цутому Сасао: Представления дискретных функций
ISBN: 9781461285991
Издательство: Springer
Классификация:




ISBN-10: 1461285992
Обложка/Формат: Soft cover
Страницы: 332
Вес: 0.53 кг.
Дата издания: 26.09.2011
Язык: English
Издание: Softcover reprint of
Иллюстрации: Biography
Размер: 234 x 156 x 19
Читательская аудитория: Professional & vocational
Основная тема: Circuits and Systems
Ссылка на Издательство: Link
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Поставляется из: Германии


Acoustic and Electromagnetic Equations / Integral Representations for Harmonic Problems

Автор: Nedelec Jean-Claude
Название: Acoustic and Electromagnetic Equations / Integral Representations for Harmonic Problems
ISBN: 0387951555 ISBN-13(EAN): 9780387951553
Издательство: Springer
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Цена: 11179.00 р.
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Описание: This self-contained book is devoted to the study of the acoustic wave equations and the Maxwell system, the two most common waves equations that are encountered in physics or in engineering. It presents a detailed analysis of their mathematical and physical properties. In particular, the author focuses on the study of the harmonic exterior problems, building a mathematical framework which provides the existence and uniqueness of the solutions. Acoustic and electromagnetic waves underlie a vast range of modern technology from sonar, radio, and television to microwave heating and electromagnetic compatibility analysis. Mathematical modeling of these waves has undergone considerable growth in recent years, and this timely book, written by a leading international researcher, presents the research in a careful and complete way.

Graph-Based Representations in Pattern Recognition

Автор: Andrea Torsello; Francisco Escolano Ruiz; Luc Brun
Название: Graph-Based Representations in Pattern Recognition
ISBN: 3642021239 ISBN-13(EAN): 9783642021237
Издательство: Springer
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Цена: 10480.00 р.
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Описание: Constitutes the refereed proceedings of the 7th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2009, held in Venice, Italy in May 2009.

Knowledge Representations for Planning Manipulation Tasks

Автор: Franziska Zacharias
Название: Knowledge Representations for Planning Manipulation Tasks
ISBN: 3642251811 ISBN-13(EAN): 9783642251818
Издательство: Springer
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Цена: 18167.00 р.
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Описание: In this book, the capability map, a novel general representation of the kinematic capabilities of a robot arm, is introduced. The capability map allows to determine how well regions of the workspace are reachable for the end effector in different orientations. It is a representation that can be machine processed as well as intuitively visualized for the human. The capability map and the derived algorithms are a valuable source of information for high- and low-level planning processes. The versatile applicability of the capability map is shown by examples from several distinct application domains. In human-robot interaction, a bi-manual interface for tele-operation is objectively evaluated. In low-level geometric planning, more human-like motion is planned for a humanoid robot while also reducing the computation time. And in high-level task reasoning, the suitability of a robot for a task is evaluated.    

Representations of Discrete Functions

Автор: Tsutomu Sasao; Masahira Fujita
Название: Representations of Discrete Functions
ISBN: 0792397207 ISBN-13(EAN): 9780792397205
Издательство: Springer
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Цена: 26120.00 р.
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Описание: Includes topics such as: binary decision diagrams, multi-terminal binary decision diagrams, edge-valued binary decision diagrams, functional decision diagrams, Kronecker decision diagrams, binary moment diagrams, spectral transform decision diagrams, ternary decision diagrams, and, spectral transformation of logic functions.

Graph-Based Representations in Pattern Recognition

Автор: Pasquale Foggia; Cheng-Lin Liu; Mario Vento
Название: Graph-Based Representations in Pattern Recognition
ISBN: 3319589601 ISBN-13(EAN): 9783319589602
Издательство: Springer
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Цена: 7685.00 р.
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Описание: The papers discuss research results and applications in the intersection of pattern recognition, image analysis, graph theory, and also the application of graphs to pattern recognition problems in other fields like computational topology, graphic recognition systems and bioinformatics.

Graph-Based Representations in Pattern Recognition

Автор: Cheng-Lin Liu; Bin Luo; Walter G. Kropatsch; Jian
Название: Graph-Based Representations in Pattern Recognition
ISBN: 3319182234 ISBN-13(EAN): 9783319182230
Издательство: Springer
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Цена: 7826.00 р.
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Описание: The accepted papers cover diverse issues of graph-based methods and applications, with 7 in graph representation,15 in graph matching, 7 in graph clustering and classification, and 7 in graph-based applications.

Knowledge Representations for Planning Manipulation Tasks

Автор: Franziska Zacharias
Название: Knowledge Representations for Planning Manipulation Tasks
ISBN: 3662508737 ISBN-13(EAN): 9783662508732
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book introduces the capability map, a novel general representation of the kinematic capabilities of a robot arm. The coverage includes examples from several distinct application domains, including a bi-manual interface for tele-operation and more.

Separated Representations and PGD-Based Model Reduction

Автор: Francisco Chinesta; Pierre Ladev?ze
Название: Separated Representations and PGD-Based Model Reduction
ISBN: 3709117933 ISBN-13(EAN): 9783709117934
Издательство: Springer
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Цена: 19564.00 р.
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Описание: Model order reduction based on proper orthogonal decomposition: Model reduction: extracting relevant information.- Interpolation of reduced basis: a geometrical approach.- POD for non-linear models.- Conclusions.- PGD for solving multidimensional and parametric models: Introduction.- Separated representations.- Advanced topics.- Models defined in plate and shell geometries.- Computational vademecums.- PGD in linear and nonlinear Computational Solid Mechanics: Introduction.- PGD -Verification for linear problems (elliptic and parabolic).- PGD for time dependent nonlinear problems (monoscale and multiscale problems).- Reduced basis approximation and error estimation for parameterized elliptic partial differential equations and applications: Introduction and motivation.- Parameterized problems.- High order and reduced order models with reduced basis method: greedy algorithm and a posteriori error estimation.- Applications.- Conclusion.

A Practical Guide to Averaging Functions

Автор: Gleb Beliakov; Humberto Bustince Sola; Tomasa Calv
Название: A Practical Guide to Averaging Functions
ISBN: 3319247514 ISBN-13(EAN): 9783319247519
Издательство: Springer
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Цена: 20896.00 р.
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Описание: It examines recent advances in the field, such as aggregation on lattices, penalty-based aggregation and weakly monotone averaging, and extends many of the already existing methods, such as: ordered weighted averaging (OWA), fuzzy integrals and mixture functions.

Modelling and Identification with Rational Orthogonal Basis Functions

Автор: Peter S.C. Heuberger; Paul M.J. van den Hof; Bo Wa
Название: Modelling and Identification with Rational Orthogonal Basis Functions
ISBN: 185233956X ISBN-13(EAN): 9781852339562
Издательство: Springer
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Цена: 26122.00 р.
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Описание:

Models of dynamical systems are of great importance in almost all fields of science and engineering and specifically in control, signal processing and information science. A model is always only an approximation of a real phenomenon so that having an approximation theory which allows for the analysis of model quality is a substantial concern. The use of rational orthogonal basis functions to represent dynamical systems and stochastic signals can provide such a theory and underpin advanced analysis and efficient modelling. It also has the potential to extend beyond these areas to deal with many problems in circuit theory, telecommunications, systems, control theory and signal processing.

Nine international experts have contributed to this work to produce thirteen chapters that can be read independently or as a comprehensive whole with a logical line of reasoning:

  • Construction and analysis of generalized orthogonal basis function model structure;
  • System Identification in a time domain setting and related issues of variance, numerics, and uncertainty bounding;
  • System identification in the frequency domain;
  • Design issues and optimal basis selection;
  • Transformation and realization theory.

Modelling and Identification with Rational Orthogonal Basis Functions affords a self-contained description of the development of the field over the last 15 years, furnishing researchers and practising engineers working with dynamical systems and stochastic processes with a standard reference work.


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