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This textbook presents all the mathematical and physical concepts
needed to visualize and understand representation surfaces,
providing readers with a reliable and intuitive understanding of
the behavior and properties of anisotropic materials, and a sound
grasp of the directionality of material properties. They will learn
how to extract quantitative information from representation
surfaces, which encode tremendous amounts of information in a very
concise way, making them especially useful in understanding higher
order tensorial material properties (piezoelectric moduli, elastic
compliance and rigidity, etc.) and in the design of applications
based on these materials. Readers will also learn from scratch
concepts on crystallography, symmetry and Cartesian tensors, which
are essential for understanding anisotropic materials, their design
and application. The book describes how to apply representation
surfaces to a diverse range of material properties, making it a
valuable resource for material scientists, mechanical engineers,
and solid state physicists, as well as advanced undergraduates in
Materials Science, Solid State Physics, Electronics, Optics,
Mechanical Engineering, Composites and Polymer Science. Moreover,
the book includes a wealth of worked-out examples, problems and
exercises to help further understanding.
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Progress in Pattern Recognition, Image Analysis and Applications - 10th Iberoamerican Congress on Pattern Recognition, CIARP 2005, Havana, Cuba, November 15-18, 2005, Proceedings (Paperback, 2005 ed.)
Manuel Lazo, Alberto Sanfeliu
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R5,106
Discovery Miles 51 060
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Ships in 10 - 15 working days
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CIARP 2005 (10th Iberoamerican Congress on Pattern Recognition, X
CIARP) is the 10th event in the series of pioneer congresses on
pattern recognition in the Iberoamerican community, which takes
place in La Habana, Cuba. As in previous years, X CIARP brought
together international scientists to promote and disseminate
ongoing research and mathematical methods for pattern recognition,
image analysis, and applications in such diverse areas as computer
vision, robotics, industry, health, entertainment, space
exploration, telecommunications, data mining, document analysis,
and natural language processing and recognition, to name a few.
Moreover, X CIARP was a forum for scientific research, experience
exchange, share of new knowledge and increase in cooperation
between research groups in pattern recognition, computer vision and
related areas. The 10th Iberoamerican Congress on Pattern
Recognition was organized by the Cuban Association for Pattern
Recognition (ACRP) and sponsored by the Institute of Cybernetics,
Mathematics and Physics (ICIMAF), the Advanced Technologies
Application Center (CENATAV), the University of Oriente (UO), the
Polytechnic Institute "Jose A Echevarria" (ISPJAE), the Central
University of Las Villas (UCLV), the Ciego de Avila University
(UNICA), as well as the Center of Technologies Research on
Information and Systems (CITIS-UAEH) in Mexico. The conference was
also co-sponsored by the Portuguese Association for Pattern
Recognition (APRP), the Spanish Association for Pattern Recognition
and Image Analysis (AERFAI), the Special Interest Group of the
Brazilian Computer Society (SIGPR-SBC), and the Mexican Association
for Computer Vision, Neurocomputing and Robotics (MACVNR). X CIARP
was endorsed by the International Association for Pattern
Recognition (IAPR).
This textbook presents all the mathematical and physical concepts
needed to visualize and understand representation surfaces,
providing readers with a reliable and intuitive understanding of
the behavior and properties of anisotropic materials, and a sound
grasp of the directionality of material properties. They will learn
how to extract quantitative information from representation
surfaces, which encode tremendous amounts of information in a very
concise way, making them especially useful in understanding higher
order tensorial material properties (piezoelectric moduli, elastic
compliance and rigidity, etc.) and in the design of applications
based on these materials. Readers will also learn from scratch
concepts on crystallography, symmetry and Cartesian tensors, which
are essential for understanding anisotropic materials, their design
and application. The book describes how to apply representation
surfaces to a diverse range of material properties, making it a
valuable resource for material scientists, mechanical engineers,
and solid state physicists, as well as advanced undergraduates in
Materials Science, Solid State Physics, Electronics, Optics,
Mechanical Engineering, Composites and Polymer Science. Moreover,
the book includes a wealth of worked-out examples, problems and
exercises to help further understanding.
Modelling in polymer materials science has experienced a dramatic
growth in the last two decades. Advances in modeling methodologies
together with rapid growth in computational power have made it
possible to address increasingly complex questions both of a
fundamental and of a more applied nature.
Multiscale Modelling of Polymer Properties assembles research done
on modeling of polymeric materials from a hierarchical point of
view, in which several methods are combined in a multilevel
approach to complex polymeric materials. Contributions from
academic and industrial experts are organized in two parts: the
first one addresses the methodological aspects while the second one
focuses on specific applications. The book aims at comprehensively
assessing the current state of the field, including the strengths
and shortcomings of available modelling techniques, and at
identifying future needs and trends.
* Several levels of approximation to the field of polymer
modelling; ranging from first-principles to purely macroscopic
* Contributions from both academic and industrial experts with
varying fields of expertise
* Assesses current state of this emerging and rapidly growing field
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