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Books > Academic & Education > Professional & Technical > Mathematics
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.
Now inits 7th edition, "Mathematical Methods for Physicists"
continues to provide all the mathematical methods that aspiring
scientists and engineers are likely to encounter as students and
beginning researchers. This bestselling text provides mathematical
relations and their proofs essential to the study of physics and
related fields. While retaining thekey features of the 6th edition,
the new edition provides a more careful balance of explanation,
theory, and examples. Taking a problem-solving-skills approach to
incorporating theorems with applications, the book's improved focus
will help students succeed throughout their academic careers and
well into their professions. Some notable enhancements include more
refined and focused content in important topics, improved
organization, updated notations, extensive explanations and
intuitive exercise sets, a wider range of problem solutions,
improvement in the placement, and a wider range of difficulty of
exercises. New to this edition: Improved modular chaptersNew up-to-date examplesMore intuitive explanations"
The new edition of "Mathematical Modeling," the survey text of choice for mathematical modeling courses, adds ample instructor support and online delivery for solutions manuals and software ancillaries. From genetic engineering to hurricane prediction, mathematical
models guide much of the decision making in our society. If the
assumptions and methods underlying the modeling are flawed, the
outcome can be disastrously poor. With mathematical modeling
growing rapidly in so many scientific and technical disciplines,
"Mathematical Modeling, Fourth Edition" provides a rigorous
treatment of the subject. The book explores a range of approaches
including optimization models, dynamic models and probability
models.
The material collected in this volume discusses the present as well
as expected future directions of development of the field with
particular emphasis on applications. The seven survey articles
present different topics in Evolutionary PDE s, written by leading
experts.
The Curry-Howard isomorphism states an amazing correspondence
between systems of formal logic as encountered in proof theory and
computational calculi as found in type theory. For instance,
After a brief description of the evolution of thinking on Finslerian geometry starting from Riemann, Finsler, Berwald and Elie Cartan, the book gives a clear and precise treatment of this geometry. The first three chapters develop the basic notions and methods, introduced by the author, to reach the global problems in Finslerian Geometry. The next five chapters are independent of each other, and deal with among others the geometry of generalized Einstein manifolds, the classification of Finslerian manifolds of constant sectional curvatures. They also give a treatment of isometric, affine, projective and conformal vector fields on the unitary tangent fibre bundle.
The book contains seven survey papers about ordinary differential
equations.
The book could be a good companion for any graduate student in
partial differential equations or in applied mathematics. Each
chapter brings indeed new ideas and new techniques which can be
used in these fields. The differents chapters can be read
independently and are of great pedagogical value. The advanced
researcher will find along the book the most recent achievements in
various fields.
This is the unique book on cross-fertilisations between stream
ciphers and number theory. It systematically and comprehensively
covers known connections between the two areas that are available
only in research papers. Some parts of this book consist of new
research results that are not available elsewhere. In addition to
exercises, over thirty research problems are presented in this
book. In this revised edition almost every chapter was updated, and
some chapters were completely rewritten. It is useful as a textbook
for a graduate course on the subject, as well as a reference book
for researchers in related fields.
Algorithmic Graph Theory and Perfect Graphs, first published in
1980, has become the classic introduction to the field. This new
Annals edition continues to convey the message that intersection
graph models are a necessary and important tool for solving
real-world problems. It remains a stepping stone from which the
reader may embark on one of many fascinating research trails.
The second edition of this text has sold over 6,000 copies since
publication in 1986 and this revision will make it even more
useful. This is the only book available that is approachable by
"beginners" in this subject. It has become an essential
introduction to the subject for mathematics students, engineers,
physicists, and economists who need to learn how to apply these
vital methods. It is also the only book that thoroughly reviews
certain areas of advanced calculus that are necessary to understand
the subject.
This is the first book that can be considered a textbook on thin
film science, complete with exercises at the end of each chapter.
Ohring has contributed many highly regarded reference books to the
AP list, including Reliability and Failure of Electronic Materials
and the Engineering Science of Thin Films. The knowledge base is
intended for science and engineering students in advanced
undergraduate or first-year graduate level courses on thin films
and scientists and engineers who are entering or require an
overview of the field.
An Introduction to Non-Harmonic Fourier Series, Revised Edition is
an update of a widely known and highly respected classic textbook.
A collection of problems and solutions in real analysis based on
the major textbook, "Principles of Real Analysis" (also by
Aliprantis and Burkinshaw), "Problems in Real Analysis" is the
ideal companion for senior science and engineering undergraduates
and first-year graduate courses in real analysis. It is intended
for use as an independent source, and is an invaluable tool for
students who wish to develop a deep understanding and proficiency
in the use of integration methods.
This volume is a thorough introduction to contemporary research in
elasticity, and may be used as a working textbook at the graduate
level for courses in pure or applied mathematics or in continuum
mechanics. It provides a thorough description (with emphasis on the
nonlinear aspects) of the two competing mathematical models of
three-dimensional elasticity, together with a mathematical analysis
of these models. The book is as self-contained as possible.
General concepts and methods that occur throughout mathematics and
now also in theoretical computer science are the subject of this
book. It is a thorough introduction to Categories, emphasizing the
geometric nature of the subject and explaining its connections to
mathematical logic. The book should appeal to the inquisitive
reader who has seen some basic topology and algebra and would like
to learn and explore further.
Chapter 1 presents theorems on differentiable functions often used
in differential topology, such as the implicit function theorem,
Sard's theorem and Whitney's approximation theorem.
In this book the authors try to bridge the gap between the treatments of matrix theory and linear algebra. It is aimed at graduate and advanced undergraduate students seeking a foundation in mathematics, computer science, or engineering. It will also be useful as a reference book for those working on matrices and linear algebra for use in their scientific work.
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.
Designed for advanced engineering, physical science, and applied
mathematics students, this innovative textbook is an introduction
to both the theory and practical application of linear algebra and
functional analysis. The book is self-contained, beginning with
elementary principles, basic concepts, and definitions. The
important theorems of the subject are covered and effective
application tools are developed, working up to a thorough treatment
of eigenanalysis and the spectral resolution theorem. Building on a
fundamental understanding of finite vector spaces, infinite
dimensional Hilbert spaces are introduced from analogy. Wherever
possible, theorems and definitions from matrix theory are called
upon to drive the analogy home. The result is a clear and intuitive
segue to functional analysis, culminating in a practical
introduction to the functional theory of integral and differential
operators. Numerous examples, problems, and illustrations highlight
applications from all over engineering and the physical sciences.
Also included are several numerical applications, complete with
"Mathematica" solutions and code, giving the student a "hands-on"
introduction to numerical analysis. Linear Algebra and Linear
Operators in Engineering is ideally suited as the main text of an
introductory graduate course, and is a fine instrument for
self-study or as a general reference for those applying
mathematics.
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.
Essential Computational Modeling for the Human Body presents key contributions selected from the volume in the Handbook of Numerical Analysis: Computational Modeling for the Human Body Vol. 12 (2005). Computational (Mathematical) Modeling is used by scientists and
researchers with various applications in chemical, biological,
behavioral, environmental sciences, etc. This guide presents
essential research techniques for analysis and essential concrete
examples of computational models, while supplying a wide range of
commonly used methods and applications, followed by various
numerical simulations. Provides various viewpoints of methods and applications are available for researchers to chose and experiment with; Numerical analysis and open problems useful for experimentation; Computational Models useful for surgery simulations; |
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