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Still often used today, German schoolmaster and philologist
ALEXANDER SCHMIDT's (1816-1887) Shakespeare Lexicon is the source
for elucidating the sometimes cryptic language of Shakespeare and
tracking down quotations. Volume 2 covers M through Z, from "Mab:
the queen of the fairies" to "Zounds: an oath contracted from God's
wounds," and features numerous appendices and supplements on
grammar and usage. Every word from every play and poem is
cataloged, referenced, and defined in this exhaustive two-volume
work, the result of arduous research and stalwart dedication.
Serious scholars and zealous fans will find the Lexicon the
ultimate guide to reading and decoding the Bard.
Still often used today, German schoolmaster and philologist
ALEXANDER SCHMIDT's (1816-1887) Shakespeare Lexicon is the source
for elucidating the sometimes cryptic language of Shakespeare and
tracking down quotations. Volume 1 covers A through L, from "a: the
first letter of the alphabet" to "Lysimachus," a proper name. Every
word from every play and poem is cataloged, referenced, and defined
in this exhaustive two-volume work, the result of arduous research
and stalwart dedication. Serious scholars and zealous fans will
find the Lexicon the ultimate guide to reading and decoding the
Bard.
"Understanding Complex Urban Systems" takes as its point of
departure the insight that the challenges of global urbanization
and the complexity of urban systems cannot be understood let alone
managed by sectoral and disciplinary approaches alone. But while
there has recently been significant progress in broadening and
refining the methodologies for the quantitative modeling of complex
urban systems, in deepening the theoretical understanding of cities
as complex systems, or in illuminating the implications for urban
planning, there is still a lack of well-founded conceptual thinking
on the methodological foundations and the strategies of modeling
urban complexity across the disciplines.
Bringing together experts from the fields of urban and spatial
planning, ecology, urban geography, real estate analysis,
organizational cybernetics, stochastic optimization, and literary
studies, as well as specialists in various systems approaches and
in transdisciplinary methodologies of urban analysis, the volume
seeks to advance the discussion on multidisciplinary approaches to
urban modeling. While engaging with the state of the art in their
respective fields, the contributions are specifically written for
both experts from a broad range of disciplines as well as for urban
practitioners who feel the need for new approaches given the
uncertainty of current developments.
This second edition is a corrected and extended version of the
first. It is a textbook for students, as well as a reference book
for the working mathematician, on cohomological topics in number
theory. In all it is a virtually complete treatment of a vast array
of central topics in algebraic number theory. New material is
introduced here on duality theorems for unramified and tamely
ramified extensions as well as a careful analysis of 2-extensions
of real number fields.
Understanding Complex Urban Systems takes as its point of departure
the insight that the challenges of global urbanization and the
complexity of urban systems cannot be understood - let alone
'managed' - by sectoral and disciplinary approaches alone. But
while there has recently been significant progress in broadening
and refining the methodologies for the quantitative modeling of
complex urban systems, in deepening the theoretical understanding
of cities as complex systems, or in illuminating the implications
for urban planning, there is still a lack of well-founded
conceptual thinking on the methodological foundations and the
strategies of modeling urban complexity across the disciplines.
Bringing together experts from the fields of urban and spatial
planning, ecology, urban geography, real estate analysis,
organizational cybernetics, stochastic optimization, and literary
studies, as well as specialists in various systems approaches and
in transdisciplinary methodologies of urban analysis, the volume
seeks to advance the discussion on multidisciplinary approaches to
urban modeling. While engaging with the 'state of the art' in their
respective fields, the contributions are specifically written for
both experts from a broad range of disciplines as well as for urban
practitioners who feel the need for new approaches given the
uncertainty of current developments.
This second edition is a corrected and extended version of the
first. It is a textbook for students, as well as a reference book
for the working mathematician, on cohomological topics in number
theory. In all it is a virtually complete treatment of a vast array
of central topics in algebraic number theory. New material is
introduced here on duality theorems for unramified and tamely
ramified extensions as well as a careful analysis of 2-extensions
of real number fields.
Various applications in the field of pulmonary image analysis
require a registration of CT images of the lung. For example, a
registration-based estimation of the breathing motion is employed
to increase the accuracy of dose distribution in radiotherapy.
Alexander Schmidt-Richberg develops methods to explicitly model
morphological and physiological knowledge about respiration in
algorithms for the registration of thoracic CT images. The author
focusses on two lung-specific issues: on the one hand, the
alignment of the interlobular fissures and on the other hand, the
estimation of sliding motion at the lung boundaries. He shows that
by explicitly considering these aspects based on a segmentation of
the respective structure, registration accuracy can be
significantly improved.
The present manuscript is an improved edition of a text that first
appeared under the same title in Bonner Mathematische Schriften,
no.26, and originated from a series of lectures given by the author
in 1965/66 in Wolfgang Krull's seminar in Bonn. Its main goal is to
provide the reader, acquainted with the basics of algebraic number
theory, a quick and immediate access to class field theory. This
script consists of three parts, the first of which discusses the
cohomology of finite groups. The second part discusses local class
field theory, and the third part concerns the class field theory of
finite algebraic number fields.
This is a reproduction of a book published before 1923. This book
may have occasional imperfectionssuch as missing or blurred pages,
poor pictures, errant marks, etc. that were either part of the
original artifact, or were introduced by the scanning process. We
believe this work is culturally important, and despite the
imperfections, have elected to bring it back into print as part of
our continuing commitment to the preservation of printed
worksworldwide. We appreciate your understanding of the
imperfections in the preservation process, and hope you enjoy this
valuable book.++++The below data was compiled from various
identification fields in the bibliographic record of this title.
This data is provided as an additional tool in helping to ensure
edition identification: ++++ Gesammelte Abhandlungen Alexander
Schmidt G. Reimer, 1889 English literature
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Thoracic Image Analysis - Second International Workshop, TIA 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 8, 2020, Proceedings (Paperback, 1st ed. 2020)
Jens Petersen, Raul San Jose Estepar, Alexander Schmidt-Richberg, Sarah Gerard, Bianca Lassen-Schmidt, …
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R1,469
Discovery Miles 14 690
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Ships in 10 - 15 working days
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This book constitutes the proceedings of the Second International
Workshop on Thoracic Image Analysis, TIA 2020, held in Lima, Peru,
in October 2020. Due to COVID-19 pandemic the conference was held
virtually. COVID-19 infection has brought a lot of attention to
lung imaging and the role of CT imaging in the diagnostic workflow
of COVID-19 suspects is an important topic. The 14 full papers
presented deal with all aspects of image analysis of thoracic data,
including: image acquisition and reconstruction, segmentation,
registration, quantification, visualization, validation,
population-based modeling, biophysical modeling (computational
anatomy), deep learning, image analysis in small animals,
outcome-based research and novel infectious disease applications.
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