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Books > Academic & Education > Professional & Technical > Mathematics
Continuum Mechanics is a branch of physical mechanics that describes the macroscopic mechanical behavior of solid or fluid materials considered to be continuously distributed. It is fundamental to the fields of civil, mechanical, chemical and bioengineering. This time-tested text has been used for over 35 years to introduce junior and senior-level undergraduate engineering students, as well as graduate students, to the basic principles of continuum mechanics and their applications to real engineering problems. The text begins with a detailed presentation of the coordinate invariant quantity, the tensor, introduced as a linear transformation. This is then followed by the formulation of the kinematics of deformation, large as well as very small, the description of stresses and the basic laws of continuum mechanics. As applications of these laws, the behaviors of certain material idealizations (models) including the elastic, viscous and viscoelastic materials, are presented. This new edition offers expanded coverage of the subject matter
both in terms of details and contents, providing greater
flexibility for either a one or two-semester course in either
continuum mechanics or elasticity. Although this current edition
has expanded the coverage of the subject matter, it nevertheless
uses the same approach as that in the earlier editions - that one
can cover advanced topics in an elementary way that go from simple
to complex, using a wealth of illustrative examples and problems.
It is, and will remain, one of the most accessible textbooks on
this challenging engineering subject. New section at the end of Chapter 4 devoted to the integral formulation of the field equations Seven new appendices appear at the end of the relevant chapters to help make each chapter more self-contained Expanded and improved problem sets providing both intellectual challenges and engineering applications
Completely updated guide for scientists, engineers and students who
want to use Microsoft Excel 2007 to its full potential.
This book considers classical and current theory and practice, of supervised, unsupervised and semi-supervised pattern recognition, to build a complete background for professionals and students of engineering. The authors, leading experts in the field of pattern recognition, have provided an up-to-date, self-contained volume encapsulating this wide spectrum of information. The very latest methods are incorporated in this edition: semi-supervised learning, combining clustering algorithms, and relevance feedback. . Thoroughly developed to include many more worked examples to give greater understanding of the various methods and techniques . Many more diagrams included--now in two color--to provide greater insight through visual presentation . Matlab code of the most common methods are given at the end of each chapter. . More Matlab code is available, together with an accompanying manual, via this site . Latest hot topics included to further the reference value of the text including non-linear dimensionality reduction techniques, relevance feedback, semi-supervised learning, spectral clustering, combining clustering algorithms. . An accompanying book with Matlab code of the most common
methods and algorithms in the book, together with a descriptive
summary, and solved examples including real-life data sets in
imaging, and audio recognition. The companion book will be
available separately or at a special packaged price (ISBN:
9780123744869).
This monograph began life as a series of papers documenting five years of research into the logical foundations of Categorial Grammar, a grammatical paradigm which has close analogies with Lambda Calculus and Type Theory. The technical theory presented here stems from the interface between Logic and Linguistics and, in particular, the theory of generalized quantification. A categorical framework with lambda calculus-oriented semantics is a convenient vehicle for generalizing semantic insights (obtained in various corners of natural language) into one coherent theory.
Information Security is usually achieved through a mix of
technical, organizational and legal measures. These may include the
application of cryptography, the hierarchical modeling of
organizations in order to assure confidentiality, or the
distribution of accountability and responsibility by law, among
interested parties.
The material collected in this volume reflects the active present
of this area of mathematics, ranging from the abstract theory of
gradient flows to stochastic representations of non-linear
parabolic PDE's.
This book comes out of need and urgency (expressed especially in
areas of Information Retrieval with respect to Image, Audio,
Internet and Biology) to have a working tool to compare data.
This book is designed for the reader who wants to get a general view of the terminology of General Topology with minimal time and effort. The reader, whom we assume to have only a rudimentary knowledge of set theory, algebra and analysis, will be able to find what they want if they will properly use the index. However, this book contains very few proofs and the reader who wants to study more systematically will find sufficiently many references in the book.
The Handbook of Mathematical Fluid Dynamics is a compendium of
essays that provides a survey of the major topics in the subject.
Each article traces developments, surveys the results of the past
decade, discusses the current state of knowledge and presents major
future directions and open problems. Extensive bibliographic
material is provided. The book is intended to be useful both to
experts in the field and to mathematicians and other scientists who
wish to learn about or begin research in mathematical fluid
dynamics. The Handbook illuminates an exciting subject that
involves rigorous mathematical theory applied to an important
physical problem, namely the motion of fluids.
Computational Geometry is an area that provides solutions to
geometric problems which arise in applications including Geographic
Information Systems, Robotics and Computer Graphics. This Handbook
provides an overview of key concepts and results in Computational
Geometry. It may serve as a reference and study guide to the field.
Not only the most advanced methods or solutions are described, but
also many alternate ways of looking at problems and how to solve
them.
Volume II of "Classical Recursion Theory" describes the universe
from a local (bottom-up
Topology, for many years, has been one of the most exciting and
influential fields of research in modern mathematics. Although its
origins may be traced back several hundred years, it was Poincare
who "gave topology wings" in a classic series of articles published
around the turn of the century. While the earlier history,
sometimes called the prehistory, is also considered, this volume is
mainly concerned with the more recent history of topology, from
Poincare onwards.
A collection of self contained state-of-the art surveys. The
authors have made an effort to achieve readability for
mathematicians and scientists from other fields, for this series of
handbooks to be a new reference for research, learning and
teaching.
Probability is relevant to so many different subject areas that its
importance as a mathematical technique cannot be underestimated.
This book provides a comprehensive, user-friendly introduction to
the subject. The step-by-step approach taken by the author allows
students to develop knowledge at their own pace and, by working
through the numerous exercises, they are ensured a full
understanding of the material before moving on to more advanced
sections. Traditional examples of probablistic theory, such as
coins and dice, are included but the author has also used many
exercises based on real-life problems. The result is an
introduction to probability that avoids the overly confusing,
theoretical approach often adopted in this area, and provides a
simple and concise text that will be invaluable to all studying
first and second year courses on the subject.
This first part presents chapters on models of computation,
complexity theory, data structures, and efficient computation in
many recognized sub-disciplines of Theoretical Computer Science.
Techniques of physics find wide application in biology, medicine, engineering and technology generally. This series is devoted to techniques which have found and are finding application. The aim is to clarify the principles of each technique, to emphasize and illustrate the applications and to draw attention to new fields of possible employment.
This English version of the path-breaking French book on this
subject gives the definitive treatment of the revolutionary
approach to measure theory, geometry, and mathematical physics
developed by Alain Connes. Profusely illustrated and invitingly
written, this book is ideal for anyone who wants to know what
noncommutative geometry is, what it can do, or how it can be used
in various areas of mathematics, quantization, and elementary
particles and fields.
Studies in Logic and the Foundations of Mathematics, Volume 102: Set Theory: An Introduction to Independence Proofs offers an introduction to relative consistency proofs in axiomatic set theory, including combinatorics, sets, trees, and forcing. The book first tackles the foundations of set theory and infinitary combinatorics. Discussions focus on the Suslin problem, Martin's axiom, almost disjoint and quasi-disjoint sets, trees, extensionality and comprehension, relations, functions, and well-ordering, ordinals, cardinals, and real numbers. The manuscript then ponders on well-founded sets and easy consistency proofs, including relativization, absoluteness, reflection theorems, properties of well-founded sets, and induction and recursion on well-founded relations. The publication examines constructible sets, forcing, and iterated forcing. Topics include Easton forcing, general iterated forcing, Cohen model, forcing with partial functions of larger cardinality, forcing with finite partial functions, and general extensions. The manuscript is a dependable source of information for mathematicians and researchers interested in set theory.
Hirsch, Devaney, and Smale s classic "Differential Equations,
Dynamical Systems, and an Introduction to Chaos" has been used by
professors as the primary text for undergraduate and graduate level
courses covering differential equations. It provides a theoretical
approach to dynamical systems and chaos written for a diverse
student population among the fields of mathematics, science, and
engineering. Prominent experts provide everything students need to
know about dynamical systems as students seek to develop sufficient
mathematical skills to analyze the types of differential equations
that arise in their area of study. The authors provide rigorous
exercises and examples clearly and easily by slowly introducing
linear systems of differential equations. Calculus is required as
specialized advanced topics not usually found in elementary
differential equations courses are included, such as exploring the
world of discrete dynamical systems and describing chaotic
systems.
This book is a landmark title in the continuous move from integer
to non-integer in mathematics: from integer numbers to real
numbers, from factorials to the gamma function, from integer-order
models to models of an arbitrary order. For historical reasons, the
word 'fractional' is used instead of the word 'arbitrary'.
This book is an exposition of "semi-Riemannian geometry" (also called "pseudo-Riemannian geometry")--the study of a smooth manifold furnished with a metric tensor of arbitrary signature. The principal special cases are Riemannian geometry, where the metric is positive definite, and Lorentz geometry. For many years these two geometries have developed almost independently: Riemannian geometry reformulated in coordinate-free fashion and directed toward global problems, Lorentz geometry in classical tensor notation devoted to general relativity. More recently, this divergence has been reversed as physicists, turning increasingly toward invariant methods, have produced results of compelling mathematical interest.
Probability theory is a rapidly expanding field and is used in
many areas of science and technology. Beginning from a basis of
abstract analysis, this mathematics book develops the knowledge
needed for advanced students to develop a complex understanding of
probability. The first part of the book systematically presents
concepts and results from analysis before embarking on the study of
probability theory. The initial section will also be useful for
those interested in topology, measure theory, real analysis and
functional analysis. The second part of the book presents the
concepts, methodology and fundamental results of probability
theory. Exercises are included throughout the text, not just at the
end, to teach each concept fully as it is explained, including
presentations of interesting extensions of the theory. The complete
and detailed nature of the book makes it ideal as a reference book
or for self-study in probability and related fields.
This series is designed to meet the needs of students and lecturers of the National Certificate Vocational. Features for the student include: Easy-to-understand language; Real-life examples; A key word feature for important subject terms; A dictionary feature for difficult words; A reflect-on-how-you-learn feature to explore personal learning styles; Workplace-oriented activities; and Chapter summaries that are useful for exam revision.
The chapters of this volume all have their own level of
presentation. The topics have been chosen based on the active
research interest associated with them. Since the interest in some
topics is older than that in others, some presentations contain
fundamental definitions and basic results while others relate very
little of the elementary theory behind them and aim directly toward
an exposition of advanced results. Presentations of the latter sort
are in some cases restricted to a short survey of recent results
(due to the complexity of the methods and proofs themselves). Hence
the variation in level of presentation from chapter to chapter only
reflects the conceptual situation itself. One example of this is
the collective efforts to develop an acceptable theory of
computation on the real numbers. The last two decades has seen at
least two new definitions of effective operations on the real
numbers.
Unlike books currently on the market, this book attempts to satisfy
two goals: combine circuits and electronics into a single, unified
treatment, and establish a strong connection with the contemporary
world of digital systems. It will introduce a new way of looking
not only at the treatment of circuits, but also at the treatment of
introductory coursework in engineering in general. |
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