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Books > Academic & Education > Professional & Technical > Mathematics
The monograph is written with a view to provide basic tools for
researchers working in Mathematical Analysis and Applications,
concentrating on differential, integral and finite difference
equations. It contains many inequalities which have only recently
appeared in the literature and which can be used as powerful tools
and will be a valuable source for a long time to come. It is
self-contained and thus should be useful for those who are
interested in learning or applying the inequalities with explicit
estimates in their studies.
History of Functional Analysis presents functional analysis as a rather complex blend of algebra and topology, with its evolution influenced by the development of these two branches of mathematics. The book adopts a narrower definition-one that is assumed to satisfy various algebraic and topological conditions. A moment of reflections shows that this already covers a large part of modern analysis, in particular, the theory of partial differential equations. This volume comprises nine chapters, the first of which focuses on linear differential equations and the Sturm-Liouville problem. The succeeding chapters go on to discuss the ""crypto-integral"" equations, including the Dirichlet principle and the Beer-Neumann method; the equation of vibrating membranes, including the contributions of Poincare and H.A. Schwarz's 1885 paper; and the idea of infinite dimension. Other chapters cover the crucial years and the definition of Hilbert space, including Fredholm's discovery and the contributions of Hilbert; duality and the definition of normed spaces, including the Hahn-Banach theorem and the method of the gliding hump and Baire category; spectral theory after 1900, including the theories and works of F. Riesz, Hilbert, von Neumann, Weyl, and Carleman; locally convex spaces and the theory of distributions; and applications of functional analysis to differential and partial differential equations. This book will be of interest to practitioners in the fields of mathematics and statistics.
Stephen Cole Kleene was one of the greatest logicians of the twentieth century and this book is the influential textbook he wrote to teach the subject to the next generation. It was first published in 1952, some twenty years after the publication of Gadel's paper on the incompleteness of arithmetic, which marked, if not the beginning of modern logic, at least a turning point after which oenothing was ever the same. Kleene was an important figure in logic, and lived a long full life of scholarship and teaching. The 1930s was a time of creativity and ferment in the subject, when the notion of aEUROoecomputableaEURO moved from the realm of philosophical speculation to the realm of science. This was accomplished by the work of Kurt Gade1, Alan Turing, and Alonzo Church, who gave three apparently different precise definitions of aEUROoecomputableaEURO . When they all turned out to be equivalent, there was a collective realization that this was indeed the oeright notion. Kleene played a key role in this process. One could say that he was oethere at the beginning of modern logic. He showed the equivalence of lambda calculus with Turing machines and with Gadel's recursion equations, and developed the modern machinery of partial recursive functions. This textbook played an invaluable part in educating the logicians of the present. It played an important role in their own logical education.
This book collects 10 mathematical essays on approximation in Analysis and Topology by some of the most influent mathematicians of the last third of the 20th Century. Besides the papers contain the very ultimate results in each of their respective fields, many of them also include a series of historical remarks about the state of mathematics at the time they found their most celebrated results, as well as some of their personal circumstances originating them, which makes particularly attractive the book for all scientist interested in these fields, from beginners to experts. These gem pieces of mathematical intra-history should delight to many forthcoming generations of mathematicians, who will enjoy some of the most fruitful mathematics of the last third of 20th century presented by their own authors.
An Introduction to Homological Algebra discusses the origins of algebraic topology. It also presents the study of homological algebra as a two-stage affair. First, one must learn the language of Ext and Tor and what it describes. Second, one must be able to compute these things, and often, this involves yet another language: spectral sequences. Homological algebra is an accessible subject to those who wish to learn it, and this book is the author's attempt to make it lovable. This book comprises 11 chapters, with an introductory chapter that focuses on line integrals and independence of path, categories and functors, tensor products, and singular homology. Succeeding chapters discuss Hom and ?; projectives, injectives, and flats; specific rings; extensions of groups; homology; Ext; Tor; son of specific rings; the return of cohomology of groups; and spectral sequences, such as bicomplexes, Kunneth Theorems, and Grothendieck Spectral Sequences. This book will be of interest to practitioners in the field of pure and applied mathematics.
Hardbound. This book deals with numerical methods for solving large sparse linear systems of equations, particularly those arising from the discretization of partial differential equations. It covers both direct and iterative methods. Direct methods which are considered are variants of Gaussian elimination and fast solvers for separable partial differential equations in rectangular domains. The book reviews the classical iterative methods like Jacobi, Gauss-Seidel and alternating directions algorithms. A particular emphasis is put on the conjugate gradient as well as conjugate gradient -like methods for non symmetric problems. Most efficient preconditioners used to speed up convergence are studied. A chapter is devoted to the multigrid method and the book ends with domain decomposition algorithms that are well suited for solving linear systems on parallel computers.
Nonlinearity and Functional Analysis is a collection of lectures that aim to present a systematic description of fundamental nonlinear results and their applicability to a variety of concrete problems taken from various fields of mathematical analysis. For decades, great mathematical interest has focused on problems associated with linear operators and the extension of the well-known results of linear algebra to an infinite-dimensional context. This interest has been crowned with deep insights, and the substantial theory that has been developed has had a profound influence throughout the mathematical sciences. This volume comprises six chapters and begins by presenting some background material, such as differential-geometric sources, sources in mathematical physics, and sources from the calculus of variations, before delving into the subject of nonlinear operators. The following chapters then discuss local analysis of a single mapping and parameter dependent perturbation phenomena before going into analysis in the large. The final chapters conclude the collection with a discussion of global theories for general nonlinear operators and critical point theory for gradient mappings. This book will be of interest to practitioners in the fields of mathematics and physics, and to those with interest in conventional linear functional analysis and ordinary and partial differential equations.
This is one book of a four-part series, which aims to integrate discussion of modern engineering design principles, advanced design tools, and industrial design practices throughout the design process.Through this series, the reader will: Understand basic design principles and modern engineering design
paradigms.Understand CAD/CAE/CAM tools available for various design
related tasks.Understand how to put an integrated system together
to conduct product design using the paradigms and tools.Understand
industrial practices in employing virtual engineering design and
tools for product development. Covers CAD/CAE in Structural Analysis using FEM, Motion Analysis of Mechanical Systems, Fatigue and Fracture Analysis. Each chapter includes both analytical methods and computer-aided design methods, reflecting the use of modern computational tools in engineering design and practice A case study and tutorial example at the end of each chapter provide hands-on practice in implementing off-the-shelf computer design tools Provides two projects at the end of the book showing the use of Pro/ENGINEER(r) and SolidWorks (r) to implement concepts discussed in the book
A comprehensive one-year graduate (or advanced undergraduate)
course in mathematical logic and foundations of mathematics. No
previous knowledge of logic is required; the book is suitable for
self-study. Many exercises (with hints) are included.
Plasma engineering applies the unique properties of plasmas (ionized gases) to improve processes and performance over many fields, such as materials processing, spacecraft propulsion, and nanofabrication. "Plasma Engineering" considers this rapidly expanding discipline from a unified standpoint, addressing fundamentals of physics and modeling as well as new real-word applications in aerospace, nanotechnology, and bioengineering. The book starts by reviewing plasma particle collisions, waves, and instabilities, and proceeds to diagnostic tools, such as planar, spherical, and emissive probes, and the electrostatic analyzer, interferometric technique, and plasma spectroscopy. The physics of different types of electrical discharges are considered, including the classical Townsend mechanism of gas electrical breakdown and the Paschen law. Basic approaches and theoretical methodologies for plasma modeling are described, based on the fluid description of plasma solving numerically magnetohydrodynamic (MHD) equations and the kinetic model particle techniques that take into account kinetic interactions among particles and electromagnetic fields. Readers are then introduced to the widest variety of
applications in any text on the market. Space propulsion
applications such as the Hall thruster, pulsed plasma thrusters,
and microthruster are explained. Application of low-temperature
plasmas in nanoscience and nanotechnology, another frontier in
plasma physics, is covered, including plasma-based techniques for
carbon-based nanoparticle synthesis (e.g., fundamental building
blocks like single-walled carbon nanotubes and graphene). Plasma
medicine, an emerging field studying plasmas for therapeutic
applications, is examined as well. The latest original results on
cold atmospheric plasma (CAP) applications in medicine are
presented, with a focus on the therapeutic potential of CAP with a
in selective tumor cell eradication and signaling pathway
deregulation.
The objective of Volume II is to show how asymptotic methods, with the thickness as the small parameter, indeed provide a powerful means of justifying two-dimensional plate theories. More specifically, without any recourse to any "a priori" assumptions of a geometrical or mechanical nature, it is shown that in the linear case, the three-dimensional displacements, once properly scaled, converge in "H"1 towards a limit that satisfies the well-known two-dimensional equations of the linear Kirchhoff-Love theory; the convergence of stress is also established. In the nonlinear case, again after "ad hoc" scalings have been performed, it is shown that the leading term of a formal asymptotic expansion of the three-dimensional solution satisfies well-known two-dimensional equations, such as those of the nonlinear Kirchhoff-Love theory, or the von Karman equations. Special attention is also given to the first convergence result obtained in this case, which leads to two-dimensional large deformation, frame-indifferent, nonlinear membrane theories. It is also demonstrated that asymptotic methods can likewise be used for justifying other lower-dimensional equations of elastic shallow shells, and the coupled pluri-dimensional equations of elastic multi-structures, i.e., structures with junctions. In each case, the existence, uniqueness or multiplicity, and regularity of solutions to the limit equations obtained in this fashion are also studied.
Gindis introduces AutoCAD with step by step instructions, stripping away complexities tobegin working in AutoCAD immediately. All concepts are explained first in theory, and then shown in practice, helping the reader understand "what "it is they are doing and why, before they do it. Divided into three parts, the book covers beginning through advanced AutoCAD, including 3D features. Also included is an extensive Appendix for each part, detailing additional useful CAD-related information not often found in other text books The book contains supporting graphics (screen shots) and a
summary with a self-test section at the end of each chapter. Also
included are drawing examples and exercises, and tworunning
projects that the student works on as he/she progresses through the
chapters . 1) Strips away complexities, both real and perceived and reduces AutoCAD to easy-to-understand basic concepts. 2) Teaches only what is essential to operating AutoCAD first, thereby immediately building student confidence. 3) All basic commands are documented step-by-step, meaning that what the student needs to type in and how AutoCAD responds is all spelled out in discrete and clear steps with screen shots added as needed. 4) Using the author s extensive multi-industry knowledge of what is important and widely used in practice versus what is not, the material is presented by immediately immersing the student in practical, critically essential knowledge, with no padding of text or filler material. 5) All concepts are explained first in theory, and only then is AutoCAD introduced and the actual button pushing discussed. This is one of the key concepts in having students understand exactly what it is they are doing and why, before they do it."
Up and Running with Autocad (R) 2013 started out as a set of classroom notes that outlined, in an easy to understand manner, exactly how AutoCAD is used and applied, in contrast to theoretical musings or clinical descriptions of the commands as found in other books. This book attempts to use experience and top-level knowledge to sort out what is important and what is secondary, and to explain the essentials in plain language. This volume comprises 20 chapters, beginning with the AutoCAD fundamentals. The following chapters then focus on layers, colors, linetypes, and properties; text, Mtext, editing, and style; and hatch patterns; dimensions; blocks, Wblocks, dynamic blocks, groups, and purge. Other chapters cover polar, rectangular, and path arrays; basic printing and output; advanced linework; options, shortcuts, CUI, design center, and express tools; advanced design and file management tools; advanced output and pen settings; and isometric drawing. Each chapter in the book ends with a summary and some review questions to aid the reader in retaining essential concepts. This book will be of interest to engineers, architects, and industrial designers.
These papers survey the developments in General Topology and the applications of it which have taken place since the mid 1980s. The book may be regarded as an update of some of the papers in the Handbook of Set-Theoretic Topology (eds. Kunen/Vaughan, North-Holland, 1984), which gives an almost complete picture of the state of the art of Set Theoretic Topology before 1984. In the present volume several important developments are surveyed that surfaced in the period 1984-1991. This volume may also be regarded as a partial update of Open Problems in Topology (eds. van Mill/Reed, North-Holland, 1990). Solutions to some of the original 1100 open problems are discussed and new problems are posed.
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.
The Nuts and Bolts of Proofs: An Introduction to Mathematical Proofs provides basic logic of mathematical proofs and shows how mathematical proofs work. It offers techniques for both reading and writing proofs. The second chapter of the book discusses the techniques in proving if/then statements by contrapositive and proofing by contradiction. It also includes the negation statement, and/or. It examines various theorems, such as the if and only-if, or equivalence theorems, the existence theorems, and the uniqueness theorems. In addition, use of counter examples, mathematical induction, composite statements including multiple hypothesis and multiple conclusions, and equality of numbers are covered in this chapter. The book also provides mathematical topics for practicing proof techniques. Included here are the Cartesian products, indexed families, functions, and relations. The last chapter of the book provides review exercises on various topics. Undergraduate students in engineering and physical science will find this book invaluable.
In this book, the general theory of submanifolds in a multidimensional projective space is constructed. The topics dealt with include osculating spaces and fundamental forms of different orders, asymptotic and conjugate lines, submanifolds on the Grassmannians, different aspects of the normalization problems for submanifolds (with special emphasis given to a connection in the normal bundle) and the problem of algebraizability for different kinds of submanifolds, the geometry of hypersurfaces and hyperbands, etc. A series of special types of submanifolds with special projective structures are studied: submanifolds carrying a net of conjugate lines (in particular, conjugate systems), tangentially degenerate submanifolds, submanifolds with asymptotic and conjugate distributions etc. The method of moving frames and the apparatus of exterior differential forms are systematically used in the book and the results presented can be applied to the problems dealing with the linear subspaces or their generalizations. Graduate students majoring in differential geometry will find this monograph of great interest, as will researchers in differential and algebraic geometry, complex analysis and theory of several complex variables.
All the existing books in Infinite Dimensional Complex Analysis focus on the problems of locally convex spaces. However, the theory without convexity condition is covered for the first time in this book. This shows that we are really working with a new, important and interesting field.
Computability Theory: An Introduction to Recursion Theory,
provides a concise, comprehensive, and authoritative introduction
to contemporary computability theory, techniques, and results. The
basic concepts and techniques of computability theory are placed in
their historical, philosophical and logical context. This
presentation is characterized by an unusual breadth of coverage and
the inclusion of advanced topics not to be found elsewhere in the
literature at this level. The text includes both the standard
material for a first course in computability and more advanced
looks at degree structures, forcing, priority methods, and
determinacy. The final chapter explores a variety of computability
applications to mathematics and science. Computability Theory is an
invaluable text, reference, and guide to the direction of current
research in the field. Nowhere else will you find the techniques
and results of this beautiful and basic subject brought alive in
such an approachable way. Frequent historical information presented throughout More extensive motivation for each of the topics than other texts currently available Connects with topics not included in other textbooks, such as complexity theory "
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;
Essential Numerical Methods for Electromagnetics presents key contributions selected from the volume in the Handbook of Numerical Analysis: Numerical Methods for Electromagnetics Vol. 13 (2005). This reference is an accessible resource on the basics of
modeling. It is designed to assist professionals in the development
of electromagnetic designs for electronic components and devices.
It provides essential numerical methods and applications necessary
for the development of technologies and simulation modeling.
Numerical methods are a key ingredient in a simulation environment
where researchers create virtually simulated experiments versus
physical experiments. This book serves as a useful guide for
scientists, engineers, and researchers providing a quick reference
of commonly used numerical methods to help solve a variety of
problems in the electronic industry. The basics of modeling aspects provide an accessible resource; Numerical solution procedures for quick reference; Special numerical techniques are presented to assist in specialization; Most commonly used methods and applications to create simulation experiments;
When soliton theory, based on water waves, plasmas, fiber optics etc., was developing in the 1960-1970 era it seemed that perhaps KdV (and a few other equations) were really rather special in the set of all interesting partial differential equations. As it turns out, although integrable systems are still special, the mathematical interaction of integrable systems theory with virtually all branches of mathematics (and with many currently developing areas of theoretical physics) illustrates the importance of this area. This book concentrates on developing the theme of the tau function. KdV and KP equations are treated extensively, with material on NLS and AKNS systems, and in following the tau function theme one is led to conformal field theory, strings, and other topics in physics. The extensive list of references contains about 1000 entries.
In this book we study function spaces of low Borel
complexity.
This handbook is the third volume in a series of volumes devoted to
self contained and up-to-date surveys in the tehory of ordinary
differential equations, written by leading researchers in the area.
All contributors have made an additional effort to achieve
readability for mathematicians and scientists from other related
fields so that the chapters have been made accessible to a wide
audience. |
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