Wednesday, March 31, 2010

Advanced Monitoring and Numerical Analysis of Coastal Water and Urban Air Environment


Advanced Monitoring and Numerical Analysis of Coastal Water and Urban Air Environment (cSUR-UT Series: Library for Sustainable Urban Regeneration)
Springer | 2010-02-01 | ISBN: 4431997199 | 158 pages | PDF | 5 MB

Undergraduate and graduate students of civil engineering, architecture, environmental engineering, and environmental science will enjoy reading the book without knowledge or experience in computer science. Especially, several case study works were introduced focusing urban environmental problems in Mega cities in Asian countries. For example, Tokyo, Taipei, Bangkok are monitoring field for environmental research. Regeneration of Topics include state-of-the-art of environmental monitoring and simulation in urban area: hazardous substances, atmospheric movement, coastal hydrology, biological tests, and wastewater.




Numerical.Analysis.Using.MATLAB.2ed.



This text includes the following chapters:
ò Introduction to MATLAB
ò Root Approximations
ò Sinusoids and Complex Numbers
ò Matricesand Determinants
ò Review of Differential Equations
ò Fourier, Taylor, and Maclaurin Series
ò Finite Differences and Interpolation
ò Linear and Parabolic Regression
ò Solution of DifferentialEquations by Numerical Methods
ò Integration by Numerical Methods
ò Difference Equationsò Partial Fraction Expansion
ò The Gamma and Beta Functions
ò Orthogonal Functions and MatrixFactorizations
ò Bessel, Legendre, and Chebyshev Polynomials
ò Optimization MethodsEach chapter contains numerous practical applications supplemented with detailed instructionsfor using MATLABand/or Microsoft Excel« to obtain quick solutions.

Password: www.AvaxHome.ru

The Discrete Nonlinear Schrödinger Equation: Mathematical Analysis, Numerical Computations and Physical Perspectives



Panayotis G. Kevrekidis "The Discrete Nonlinear Schrödinger Equation: Mathematical Analysis, Numerical Computations and Physical Perspectives"
Springer | English | 2009-07-14 | ISBN: 3540891986 | 415 pages | PDF | 12 MB


This book constitutes the first effort to summarize a large volume of results obtained over the past 20 years in the context of the Discrete Nonlinear Schrödinger equation and the physical settings that it describes. It contains an introduction to the model, its systematic derivation and its connection to applications, a subsequent analysis of the existence and the stability of fundamental nonlinear structures in 1, 2 and even 3 spatial lattice dimensions. It also covers the case of defocusing nonlinearities, the modulational instabilities of plane wave solutions, and the extension to multi-component lattices. In addition, it features a final chapter on special topics written by a wide array of experts in the field, addressing through short reviews, areas of particular recent interest.


Download links:

Numerical Analysis


Rainer Kress " Numerical Analysis"
Springer | 1998-04-17 | ISBN:0387984089 | 344 pages | Djvu | 5,8 Mb


This volume is intended as an introduction into numerical analysis for students in mathematics, physics, and engineering. Instead of attempting to exhaustively cover all parts of numerical analysis, the goal is to guide the reader towards the basic ideas and general principles by way of considering main and important numerical methods. Given the rapid development of numerical algorithms, a reasonable introduction to numerical analysis has to confine itself to presenting a solid foundation by restricting the presentation to the basic principles and procedures. The book includes the necessary basic functional analytic tools for the solid mathematical foundation of numerical analysis. These are indispensable for any deeper study and understanding of numerical methods, in particular, for differential equations and integral equations. Particular emphasis will be given to the question of stability--especially to well-posedness and ill-posedness. The text is presented in a concise and easily understandable fashion and can be successfully mastered in a one-year course.



The Discrete Nonlinear Schrödinger Equation: Mathematical Analysis, Numerical Computations and Physical Perspectives



Panayotis G. Kevrekidis "The Discrete Nonlinear Schrödinger Equation: Mathematical Analysis, Numerical Computations and Physical Perspectives"
Springer | English | 2009-07-14 | ISBN: 3540891986 | 415 pages | PDF | 12 MB


This book constitutes the first effort to summarize a large volume of results obtained over the past 20 years in the context of the Discrete Nonlinear Schrödinger equation and the physical settings that it describes. It contains an introduction to the model, its systematic derivation and its connection to applications, a subsequent analysis of the existence and the stability of fundamental nonlinear structures in 1, 2 and even 3 spatial lattice dimensions. It also covers the case of defocusing nonlinearities, the modulational instabilities of plane wave solutions, and the extension to multi-component lattices. In addition, it features a final chapter on special topics written by a wide array of experts in the field, addressing through short reviews, areas of particular recent interest.


Download links:

The Discrete Nonlinear Schrödinger Equation: Mathematical Analysis, Numerical Computations and Physical Perspectives



Panayotis G. Kevrekidis "The Discrete Nonlinear Schrödinger Equation: Mathematical Analysis, Numerical Computations and Physical Perspectives"
Springer | English | 2009-07-14 | ISBN: 3540891986 | 415 pages | PDF | 12 MB


This book constitutes the first effort to summarize a large volume of results obtained over the past 20 years in the context of the Discrete Nonlinear Schrödinger equation and the physical settings that it describes. It contains an introduction to the model, its systematic derivation and its connection to applications, a subsequent analysis of the existence and the stability of fundamental nonlinear structures in 1, 2 and even 3 spatial lattice dimensions. It also covers the case of defocusing nonlinearities, the modulational instabilities of plane wave solutions, and the extension to multi-component lattices. In addition, it features a final chapter on special topics written by a wide array of experts in the field, addressing through short reviews, areas of particular recent interest.


Download links:

Numerical Analysis


Rainer Kress " Numerical Analysis"
Springer | 1998-04-17 | ISBN:0387984089 | 344 pages | Djvu | 5,8 Mb


This volume is intended as an introduction into numerical analysis for students in mathematics, physics, and engineering. Instead of attempting to exhaustively cover all parts of numerical analysis, the goal is to guide the reader towards the basic ideas and general principles by way of considering main and important numerical methods. Given the rapid development of numerical algorithms, a reasonable introduction to numerical analysis has to confine itself to presenting a solid foundation by restricting the presentation to the basic principles and procedures. The book includes the necessary basic functional analytic tools for the solid mathematical foundation of numerical analysis. These are indispensable for any deeper study and understanding of numerical methods, in particular, for differential equations and integral equations. Particular emphasis will be given to the question of stability--especially to well-posedness and ill-posedness. The text is presented in a concise and easily understandable fashion and can be successfully mastered in a one-year course.



The Discrete Nonlinear Schrödinger Equation: Mathematical Analysis, Numerical Computations and Physical Perspectives



Panayotis G. Kevrekidis "The Discrete Nonlinear Schrödinger Equation: Mathematical Analysis, Numerical Computations and Physical Perspectives"
Springer | English | 2009-07-14 | ISBN: 3540891986 | 415 pages | PDF | 12 MB


This book constitutes the first effort to summarize a large volume of results obtained over the past 20 years in the context of the Discrete Nonlinear Schrödinger equation and the physical settings that it describes. It contains an introduction to the model, its systematic derivation and its connection to applications, a subsequent analysis of the existence and the stability of fundamental nonlinear structures in 1, 2 and even 3 spatial lattice dimensions. It also covers the case of defocusing nonlinearities, the modulational instabilities of plane wave solutions, and the extension to multi-component lattices. In addition, it features a final chapter on special topics written by a wide array of experts in the field, addressing through short reviews, areas of particular recent interest.


Download links:

The Discrete Nonlinear Schrödinger Equation: Mathematical Analysis, Numerical Computations and Physical Perspectives



Panayotis G. Kevrekidis "The Discrete Nonlinear Schrödinger Equation: Mathematical Analysis, Numerical Computations and Physical Perspectives"
Springer | English | 2009-07-14 | ISBN: 3540891986 | 415 pages | PDF | 12 MB


This book constitutes the first effort to summarize a large volume of results obtained over the past 20 years in the context of the Discrete Nonlinear Schrödinger equation and the physical settings that it describes. It contains an introduction to the model, its systematic derivation and its connection to applications, a subsequent analysis of the existence and the stability of fundamental nonlinear structures in 1, 2 and even 3 spatial lattice dimensions. It also covers the case of defocusing nonlinearities, the modulational instabilities of plane wave solutions, and the extension to multi-component lattices. In addition, it features a final chapter on special topics written by a wide array of experts in the field, addressing through short reviews, areas of particular recent interest.


Download links:

Numerical Analysis for Integral and Related Operator Equations: OT 52 (Operator Theory: Advances and Applications)

3764326204

Numerical Analysis for Integral and Related Operator Equations: OT 52 (Operator Theory: Advances and Applications): Siegfried Proessdorf and Bernd Silbermann
Birkhauser | ISBN: 3764326204 | 1991-11-01 | djvu (ocr) | 542 pages | 4.78 Mb

About 15 years ago, when we were writing our booklet "Projection Methods and the Approximate Solution of Singular Equations" (1977) (that was the time when German native speakers still wrote in German, and so this little book is also in German), we were a long way from expecting that the numerical analysis of several classes of integral equations was on the point of entering a rapid stage of development, continuing until the present time and being certain to endure for a long time to come. This line of development was given decisive impetus by the increasing use of boundary element methods (BEM's, sometimes also referred to as boundary integral equation methods) in engineering and the natural sciences.

The essence of the methods alluded to may be described as follows. The solution to the boundary value problem under consideration is sought as an appropriately chosen integral over the boundary containing one or more unknown functions as well as a known fundamental solution of the differential equation to be solved. Inserting this ansatz (well known from potential theory for more than 100 years) into the boundary conditions leads to a boundary integral equation for the unknown function. The solution of the latter integral equation then provides the solution of the original boundary value problem in the form of an integral representation. The wide number of possible choices of boundary elements (e.g. of finite elements on the boundary as trial functions) and of discretizations of the boundary integral equations (e.g. collocation, Galerkin or quadrature methods) result in a whole variety of BEM's. Comparing BEM's with finite difference and finite element methods and considering the pros and cons, one will observe that BEM's take a series of advantages from the facts that they allow a reduction in the dimension of the problem by one unit and that they work equally well for both interior and exterior boundary value problems. Therefore, during the last decade BEM's have become a rather powerful and popular technique in engineering computations of boundary value problems arising from different fields of application. Notwithstanding the more than one hundred year usage of boundary integral equation methods in the analytical theory of boundary value problems, going back to C. Neumann's pioneering work in 1877, the mathematically rigorous foundation and error analysis of BEM's has been started on and (at least for two-dimensional problems) has made fairly satisfactory progress recently. The reason for this delay lies, in the author's view, in the fact that boundary integral operators are in general neither integral operators of the form identity plus compact operator nor of the form identity plus an operator with small norm, so that the existing standard theories for the numerical analysis of second kind Fredholm integral equations cannot be applied. Boundary reduction rather leads to singular integral equations, convolution equations (of Wiener-Hopf or Mellin type), or even to pseudodifferential equations. For instance, solving the Dirichlet problem for the Laplace equation in a domain with corners by a double layer potential ansatz amounts to a convolution equation of Mellin type of the form 5.0A) with the kernel 5.0C).

The study of the equations we encounter when applying BEM's requires having recourse to a series of heavy guns from mathematical analysis. So it is not surprising that this peculiarity is shared by the numerical analysis of these equations. In our opinion, the profound investigation of a broad variety of approximation methods for solving such integral equations is a presentday problem of numerical analysis. Due to the breadth and complexity of the questions touched upon above, it is impossible to coverall aspects of the matter by a single monograph. We therefore restrict our attention to the illumination of a few up-to-date methods and ideas, which, as we reckon, form an indispensable part of the numerical analysis of operator equations at present as well as in future. On the other hand, we are fully aware that the present book is nothing but a snapshot of what is going on and that its tone is set, moreover, by our own scientific interests.

The book is addressed to a wide audience of readers. We hope that both the mathematician interested in theoretical aspects of numerical analysis and the engineer wishing to see practically realizable recipes for computations will find a few suggestions. We tried to present the material in a form which allows any reader to go to the chapters or parts of the book he is interested in as quickly as possible. The interdependence table provides an overall view of the connection between the parts of this monograph.

Mathematical Analysis I



Elias Zakon, "Mathematical Analysis I"
The Trillia Group | 2004 | ISBN: 193170502X | 336 pages | PDF | 2,4 MB

This text carefully leads the student through the basic topics of Real Analysis. Topics include metric spaces, open and closed sets, convergent sequences, function limits and continuity, compact sets, sequences and series of functions, power series, differentiation and integration, Taylor's theorem, total variation, rectifiable arcs, and sufficient conditions of integrability. Well over 500 exercises (many with extensive hints) assist students through the material.

For students who need a review of basic mathematical concepts before beginning "epsilon-delta"-style proofs, the text begins with material on set theory (sets, quantifiers, relations and mappings, countable sets), the real numbers (axioms, natural numbers, induction, consequences of the completeness axiom), and Euclidean and vector spaces; this material is condensed from the author's Basic Concepts of Mathematics, the complete version of which can be used as supplementary background material for the present text.

This text is designed to be used as early as possible in the undergraduate mathematics curriculum; indeed, it was used for many years as the text for a two-semester class for second-year mathematics majors at the University of Windsor. If desired, the material can easily be specialized to n-dimensional (or even two-dimensional) Euclidean space.


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Mathematical Analysis I



Elias Zakon, "Mathematical Analysis I"
The Trillia Group | 2004 | ISBN: 193170502X | 336 pages | PDF | 2,4 MB

This text carefully leads the student through the basic topics of Real Analysis. Topics include metric spaces, open and closed sets, convergent sequences, function limits and continuity, compact sets, sequences and series of functions, power series, differentiation and integration, Taylor's theorem, total variation, rectifiable arcs, and sufficient conditions of integrability. Well over 500 exercises (many with extensive hints) assist students through the material.

For students who need a review of basic mathematical concepts before beginning "epsilon-delta"-style proofs, the text begins with material on set theory (sets, quantifiers, relations and mappings, countable sets), the real numbers (axioms, natural numbers, induction, consequences of the completeness axiom), and Euclidean and vector spaces; this material is condensed from the author's Basic Concepts of Mathematics, the complete version of which can be used as supplementary background material for the present text.

This text is designed to be used as early as possible in the undergraduate mathematics curriculum; indeed, it was used for many years as the text for a two-semester class for second-year mathematics majors at the University of Windsor. If desired, the material can easily be specialized to n-dimensional (or even two-dimensional) Euclidean space.


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Mathematical Analysis: Linear and Metric Structures and Continuity(repost)



Mariano Giaquinta, Giuseppe Modica , "Mathematical Analysis: Linear and Metric Structures and Continuity"
Birkhäuser Boston | 2007 | ISBN: 0817643745 | 465 pages | Djvu | 6,2 MB

This self-contained work on linear and metric structures focuses on studying continuity and its applications to finite- and infinite-dimensional spaces.

The book is divided into three parts. The first part introduces the basic ideas of linear and metric spaces, including the Jordan canonical form of matrices and the spectral theorem for self-adjoint and normal operators. The second part examines the role of general topology in the context of metric spaces and includes the notions of homotopy and degree. The third and final part is a discussion on Banach spaces of continuous functions, Hilbert spaces and the spectral theory of compact operators.

Mathematical Analysis: Linear and Metric Structures and Continuity motivates the study of linear and metric structures with examples, observations, exercises, and illustrations. It may be used in the classroom setting or for self-study by advanced undergraduate and graduate students and as a valuable reference for researchers in mathematics, physics, and engineering.

Other books recently published by the authors include: Mathematical Analysis: Functions of One Variable, and Mathematical Analysis: Approximation and Discrete Processes. This book builds upon the discussion in these books to provide the reader with a strong foundation in modern-day analysis.


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Mathematical Analysis: Linear and Metric Structures and Continuity(repost)



Mariano Giaquinta, Giuseppe Modica , "Mathematical Analysis: Linear and Metric Structures and Continuity"
Birkhäuser Boston | 2007 | ISBN: 0817643745 | 465 pages | Djvu | 6,2 MB

This self-contained work on linear and metric structures focuses on studying continuity and its applications to finite- and infinite-dimensional spaces.

The book is divided into three parts. The first part introduces the basic ideas of linear and metric spaces, including the Jordan canonical form of matrices and the spectral theorem for self-adjoint and normal operators. The second part examines the role of general topology in the context of metric spaces and includes the notions of homotopy and degree. The third and final part is a discussion on Banach spaces of continuous functions, Hilbert spaces and the spectral theory of compact operators.

Mathematical Analysis: Linear and Metric Structures and Continuity motivates the study of linear and metric structures with examples, observations, exercises, and illustrations. It may be used in the classroom setting or for self-study by advanced undergraduate and graduate students and as a valuable reference for researchers in mathematics, physics, and engineering.

Other books recently published by the authors include: Mathematical Analysis: Functions of One Variable, and Mathematical Analysis: Approximation and Discrete Processes. This book builds upon the discussion in these books to provide the reader with a strong foundation in modern-day analysis.


Download






Mathematical Analysis II



Elias Zakon, "Mathematical Analysis II"
The Trillia Group | 2009 | ISBN: 1931705038 | 424 pages | PDF | 2,5 MB

This final text in the Zakon Series on Mathematics Analysis follows the release of the author's Basic Concepts of Mathematics and Mathematical Analysis I and completes the material on Real Analysis that is the foundation for later courses in functional analysis, harmonic analysis, probability theory, etc. The first chapter extends calculus to n-dimensional Euclidean space and, more generally, Banach spaces, covering the inverse function theorem, the implicit function theorem, Taylor expansions, etc. Some basic theorems in functional analysis, including the open mapping theorem and the Banach-Steinhaus uniform boundedness principle, are also proved. The text then moves to measure theory, with a complete discussion of outer measures, Lebesgue measure, Lebesgue-Stieltjes measures, and differentiation of set functions. The discussion of measurable functions and integration in the following chapter follows an innovative approach, carefully choosing one of the equivalent definitions of measurable functions that allows the most intuitive development of the material. Fubini's theorem, the Radon-Nikodym theorem, and the basic convergence theorems (Fatou's lemma, the monotone convergence theorem, dominated convergence theorem) are covered. Finally, a chapter relates antidifferentiation to Lebesgue theory, Cauchy integrals, and convergence of parametrized integrals. Nearly 500 exercises allow students to develop their skills in the area


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Mathematical Analysis II



Elias Zakon, "Mathematical Analysis II"
The Trillia Group | 2009 | ISBN: 1931705038 | 424 pages | PDF | 2,5 MB

This final text in the Zakon Series on Mathematics Analysis follows the release of the author's Basic Concepts of Mathematics and Mathematical Analysis I and completes the material on Real Analysis that is the foundation for later courses in functional analysis, harmonic analysis, probability theory, etc. The first chapter extends calculus to n-dimensional Euclidean space and, more generally, Banach spaces, covering the inverse function theorem, the implicit function theorem, Taylor expansions, etc. Some basic theorems in functional analysis, including the open mapping theorem and the Banach-Steinhaus uniform boundedness principle, are also proved. The text then moves to measure theory, with a complete discussion of outer measures, Lebesgue measure, Lebesgue-Stieltjes measures, and differentiation of set functions. The discussion of measurable functions and integration in the following chapter follows an innovative approach, carefully choosing one of the equivalent definitions of measurable functions that allows the most intuitive development of the material. Fubini's theorem, the Radon-Nikodym theorem, and the basic convergence theorems (Fatou's lemma, the monotone convergence theorem, dominated convergence theorem) are covered. Finally, a chapter relates antidifferentiation to Lebesgue theory, Cauchy integrals, and convergence of parametrized integrals. Nearly 500 exercises allow students to develop their skills in the area


Download







Mathematical Analysis: Linear and Metric Structures and Continuity(repost)



Mariano Giaquinta, Giuseppe Modica , "Mathematical Analysis: Linear and Metric Structures and Continuity"
Birkhäuser Boston | 2007 | ISBN: 0817643745 | 465 pages | Djvu | 6,2 MB

This self-contained work on linear and metric structures focuses on studying continuity and its applications to finite- and infinite-dimensional spaces.

The book is divided into three parts. The first part introduces the basic ideas of linear and metric spaces, including the Jordan canonical form of matrices and the spectral theorem for self-adjoint and normal operators. The second part examines the role of general topology in the context of metric spaces and includes the notions of homotopy and degree. The third and final part is a discussion on Banach spaces of continuous functions, Hilbert spaces and the spectral theory of compact operators.

Mathematical Analysis: Linear and Metric Structures and Continuity motivates the study of linear and metric structures with examples, observations, exercises, and illustrations. It may be used in the classroom setting or for self-study by advanced undergraduate and graduate students and as a valuable reference for researchers in mathematics, physics, and engineering.

Other books recently published by the authors include: Mathematical Analysis: Functions of One Variable, and Mathematical Analysis: Approximation and Discrete Processes. This book builds upon the discussion in these books to provide the reader with a strong foundation in modern-day analysis.


Download






Mathematical Analysis: Linear and Metric Structures and Continuity(repost)



Mariano Giaquinta, Giuseppe Modica , "Mathematical Analysis: Linear and Metric Structures and Continuity"
Birkhäuser Boston | 2007 | ISBN: 0817643745 | 465 pages | Djvu | 6,2 MB

This self-contained work on linear and metric structures focuses on studying continuity and its applications to finite- and infinite-dimensional spaces.

The book is divided into three parts. The first part introduces the basic ideas of linear and metric spaces, including the Jordan canonical form of matrices and the spectral theorem for self-adjoint and normal operators. The second part examines the role of general topology in the context of metric spaces and includes the notions of homotopy and degree. The third and final part is a discussion on Banach spaces of continuous functions, Hilbert spaces and the spectral theory of compact operators.

Mathematical Analysis: Linear and Metric Structures and Continuity motivates the study of linear and metric structures with examples, observations, exercises, and illustrations. It may be used in the classroom setting or for self-study by advanced undergraduate and graduate students and as a valuable reference for researchers in mathematics, physics, and engineering.

Other books recently published by the authors include: Mathematical Analysis: Functions of One Variable, and Mathematical Analysis: Approximation and Discrete Processes. This book builds upon the discussion in these books to provide the reader with a strong foundation in modern-day analysis.


Download






Mathematical Analysis of Evolution, Information, and Complexity



Wolfgang Arendt, Wolfgang P. Schleich, "Mathematical Analysis of Evolution, Information, and Complexity"
Wiley-VCH | 2009 | ISBN: 3527408304 | 502 pages | PDF | 4 MB

Mathematical Analysis of Evolution, Information, and Complexity deals with the analysis of evolution, information and complexity. The time evolution of systems or processes is a central question in science, this text covers a broad range of problems including diffusion processes, neuronal networks, quantum theory and cosmology. Bringing together a wide collection of research in mathematics, information theory, physics and other scientific and technical areas, this new title offers elementary and thus easily accessible introductions to the various fields of research addressed in the book.


From the Back Cover
The present book is devoted to the mathematical analysis of evolution, information and complexity. The time evolution of systems or processes is a central question in science and covers a broad range of problems including diffusion processes, neuronal networks, quantum theory and cosmology. Analysis of information is needed in data compression, channel encoding, cryptography and often in the analysis of information processing in the computer or in the brain. Finally, the topic of analysis of complexity is important for theoretical informatics, in particular algorithms, but more generally for the investigation of complex and chaotic systems.







An Introduction to Numerical Analysis for Electrical and Computer Engineers


Christopher J. Zarowski ,"An Introduction to Numerical Analysis for Electrical and Computer Engineers"
Wiley-Interscience | April 13, 2004 | ISBN: 0471467375 | 608 pages | PDF | 3.47 mb

To properly function in today’s work environment, engineers require a working familiarity with numerical analysis. This book provides that necessary background, striking a balance between analytical rigor and an applied approach focusing on methods particular to the solving of engineering problems.

An Introduction to Numerical Analysis for Electrical and Computer Engineers gives electrical and computer engineering students their first exposure to numerical analysis and serves as a refresher for professionals as well. Emphasizing the earlier stages of numerical analysis for engineers with real-life solutions for computing and engineering applications, the book:

* Forms a logical bridge between first courses in matrix/linear algebra and the more sophisticated methods of signal processing and control system courses
* Includes MATLAB®-oriented examples, with a quick introduction to MATLAB for those who need it
* Provides detailed proofs and derivations for many key results

An Introduction to Numerical Analysis: Endre Suli, David F. Mayers

0521810264

An Introduction to Numerical Analysis: Endre Suli, David F. Mayers
Cambridge University Press | ISBN: 0521810264 | 2003-09-08 | PDF / djvu (ocr) | 444 pages | 4.27 / 1.63 Mb

This textbook is written primarily for undergraduate mathematicians and also appeals to students working at an advanced level in other disciplines. The text begins with a clear motivation for the study of numerical analysis based on real-world problems. The authors then develop the necessary machinery including iteration, interpolation, boundary-value problems and finite elements. Throughout, the authors keep an eye on the analytical basis for the work and add historical notes on the development of the subject. There are numerous exercises for students.

Review:
This book has emphasis on analysis of numerical methods, including error bound, consistency, convergence, stability. In most cases, a numerical method is introduced, followed by analysis and proofs. For engineering students, who like to know more algorithms and a little bit of analysis, this book may not be the best choice.
Although this book is mainly about analysis, it does include clear presentation of many numerical methods, including topics in nonlinear equations solving, numerical linear algebra, polynomial interpolation and integration, numerical solution of ODE. In numerical linear algebra, it includes LU factorization with pivoting, Gerschgorin's theorem of eigenvalue positions, Calculating eigenvalues by Jacobi plane rotation, Householder tridiagonalization, Sturm sequence property for tridiagonal symmetric matrix. Interpolation includes Lagrange polynomial, Hermite polynomial, Newton-Cotes integration, Improved Trapezium integration through Romberg method, Oscillation theorem for minimax approximation, Chebyshev polynomial, least square polynomial approximation to a known function, Gauss quadrature using Hermite polynomial, Piecewise linear/cubic splines. Ordinary ddifferential equations section includes initial value problems with one-step and multiple steps, boundary value problems using finite difference and shooting method, Galerkin finite element method. The book gives basic definitions including norms, matrix condition numbers, real symmetric positive definite matrix, Rayleigh quotient, orthogonal polynomials, stiffness, Sobolev space.
One place that is not clear is about QR algorithm for tridiagonal matrix.
In summary, the book is written clearly. Every numerical method is presented based on mathematics. There are many proofs (there is one proof with more than 3 pages), most of them that I decided to read are pretty easy to follow. There are not much implementation details and tricks. But this book will tell you when a method will converge and when a method is better. As a non-math major reader, I wish it could present more algorithms, such as algorithms for eigenvalues of nonsymmetric matrix, more details in finite difference method, a little bit of partial differential equations etc.

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Theoretical Numerical Analysis: A Functional Analysis Framework (Texts in Applied Mathematics): Kendall Atkinson, Weimin Han

1441904573

Theoretical Numerical Analysis: A Functional Analysis Framework (Texts in Applied Mathematics): Kendall Atkinson, Weimin Han
Springer | ISBN: 1441904573 | 2009-06-02 | PDF (OCR) | 590 pages | 3.89 Mb


This textbook prepares graduate students for research in numerical analysis/computational mathematics by giving to them a mathematical framework embedded in functional analysis and focused on numerical analysis. This helps the student to move rapidly into a research program. The text covers basic results of functional analysis, approximation theory, Fourier analysis and wavelets, iteration methods for nonlinear equations, finite difference methods, Sobolev spaces and weak formulations of boundary value problems, finite element methods, elliptic variational inequalities and their numerical solution, numerical methods for solving integral equations of the second kind, and boundary integral equations for planar regions. The presentation of each topic is meant to be an introduction with certain degree of depth. Comprehensive references on a particular topic are listed at the end of each chapter for further reading and study. Because of the relevance in solving real world problems, multivariable polynomials are playing an ever more important role in research and applications. In this third editon,a new chapter on this topic has been included and some major changes are made on two chapters from the previous edition. In addition, there are numerous minor changes throughout the entire text and new exercises are added. Review of earlier edition: "...the book is clearly written, quite pleasant to read, and contains a lot of important material; and the authors have done an excellent job at balancing theoretical developments, interesting examples and exercises, numerical experiments, and bibliographical references." R. Glowinski, SIAM Review, 2003
Summary: About Theoretical Numerical Analysis
by Kendall E. Atkinson
Rating: 5
The book presents an abstract point of view of Numerical Analysis (as one can immediatly see by the title!). It is written by a master in the topic, author of more than 70 publications at the higher levels, well known for his contributions in Integral and Partial Differential Equations.
If one is interested on the basic aspects of numerical analysis, I also suggest to consider his well known manual "Elementary Numerical Analysis".
The present book presents several aspects that are not covered by most of the manuals in Numerical Analysis and highly contributes to have a wider idea of convergence and stability of some well known methods.

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Endre Süli, David F. Mayers, «An Introduction to Numerical Analysis»


Endre Süli, David F. Mayers, «An Introduction to Numerical Analysis»
Publisher: Cambridge University Press | Number Of Pages: 444 | Publication Date:2003-09-08 | ISBN / ASIN: 0521007941 | PDF | 4,5 MB

This book has emphasis on analysis of numerical methods, including error bound, consistency, convergence, stability. In most cases, a numerical method is introduced, followed by analysis and proofs. For
engineering students, who like to know more algorithms and a little bit of analysis, this book may not be the best choice. Although this book is mainly about analysis, it does include clear presentation of many numerical methods, including topics in nonlinear equations solving, numerical linear algebra, polynomial interpolation and integration, numerical solution of ODE. In numerical linear algebra, it includes LU factorization with pivoting, Gerschgorin's theorem of eigenvalue positions, Calculating eigenvalues by Jacobi plane rotation, Householder tridiagonalization, Sturm sequence property for tridiagonal symmetric matrix. Interpolation includes Lagrange polynomial, Hermite polynomial, Newton-Cotes integration, Improved Trapezium integration through Romberg method, Oscillation theorem for minimax approximation, Chebyshev polynomial, least square polynomial approximation to a known function, Gauss quadrature using Hermite polynomial, Piecewise linear/cubic splines. Ordinary ddifferential equations section includes initial value problems with one-step and multiple steps, boundary value problems using finite difference and shooting method, Galerkin finite element method. The book gives basic definitions including norms, matrix condition numbers, real symmetric positive definite matrix, Rayleigh quotient, orthogonal polynomials, stiffness, Sobolev space. One place that is not clear is about QR algorithm for tridiagonal matrix.


K. Atkinson, W. Han - Theoretical Numerical Analysis: A Functional Analysis Framework


Kendall Atkinson, Weimin Han, "Theoretical Numerical Analysis: A Functional Analysis Framework"
Springer | ISBN 0387951423 | 472 pages | 2001 | PDF | 1.9 MB

This book gives an introduction to functional analysis for graduate students pursuing research involving numerical analysis. The text covers basic results of functional analysis as well as additional topics needed in theoretical numerical analysis. Applications of functional analysis are given by considering numerical methods for solving partial differential equations and integral equations. Extensive exercises are included at the end of each section along with recommendations for additional reading. This book is especially suited to students interested in the numerical solution of differential and/or integral equations, but it will also appeal to numerical analysts and mathematically-oriented students and researchers in engineering, physics, and related areas.

Schaum's Numerical Analysis, 2nd ed.


Francis Scheid: "Schaum's Outline of Numerical Analysis"
MGr-Hl | English | Jan 1 1989 | ISBN: 0070552215 | 479 pages | PDF | 32 MB

Confusing Textbooks? Missed Lectures? Not Enough Time?Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills.

Table of Contents:
1. What Is Numerical Analysis?
2. The Collocation Polynomial.
3. Finite Differences.
4. Factorial Polynomials.
5. Summation.
6. The Newton Formula.
7. Operators and Collocation Polynomials.
8. Unequally-Spaced Arguments.
9. Splines.
10. Osculating Polynomials.
11. The Taylor Polynomial.
12. Interpolation.
13. Numerical Differentiation.
14. Numerical Integration.
15. Gaussian Integration.
16. Singular Integrals.
17. Sums and Series.
18. Difference Equations.
19. Differential Equations.
20. Differential Problems of Higher Order.
21. Least-Squares Polynomial Approximation.
22. Min-Max Polynomial Approximation.
23. Approximation By Rational Functions.
24. Trigonometric Approximation.
25. Nonlinear Algebra.
26. Linear Systems.
27. Linear Programming.
28. Overdetermined Systems.
29. Boundary Value Problems.
30. Monte Carlo Methods.

Schaum's Numerical Analysis, 2nd ed.


Francis Scheid: "Schaum's Outline of Numerical Analysis"
MGr-Hl | English | Jan 1 1989 | ISBN: 0070552215 | 479 pages | PDF | 32 MB

Confusing Textbooks? Missed Lectures? Not Enough Time?Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills.

Table of Contents:
1. What Is Numerical Analysis?
2. The Collocation Polynomial.
3. Finite Differences.
4. Factorial Polynomials.
5. Summation.
6. The Newton Formula.
7. Operators and Collocation Polynomials.
8. Unequally-Spaced Arguments.
9. Splines.
10. Osculating Polynomials.
11. The Taylor Polynomial.
12. Interpolation.
13. Numerical Differentiation.
14. Numerical Integration.
15. Gaussian Integration.
16. Singular Integrals.
17. Sums and Series.
18. Difference Equations.
19. Differential Equations.
20. Differential Problems of Higher Order.
21. Least-Squares Polynomial Approximation.
22. Min-Max Polynomial Approximation.
23. Approximation By Rational Functions.
24. Trigonometric Approximation.
25. Nonlinear Algebra.
26. Linear Systems.
27. Linear Programming.
28. Overdetermined Systems.
29. Boundary Value Problems.
30. Monte Carlo Methods.

Schaum's Numerical Analysis, 2nd ed.


Francis Scheid: "Schaum's Outline of Numerical Analysis"
MGr-Hl | English | Jan 1 1989 | ISBN: 0070552215 | 479 pages | PDF | 32 MB

Confusing Textbooks? Missed Lectures? Not Enough Time?Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills.

Table of Contents:
1. What Is Numerical Analysis?
2. The Collocation Polynomial.
3. Finite Differences.
4. Factorial Polynomials.
5. Summation.
6. The Newton Formula.
7. Operators and Collocation Polynomials.
8. Unequally-Spaced Arguments.
9. Splines.
10. Osculating Polynomials.
11. The Taylor Polynomial.
12. Interpolation.
13. Numerical Differentiation.
14. Numerical Integration.
15. Gaussian Integration.
16. Singular Integrals.
17. Sums and Series.
18. Difference Equations.
19. Differential Equations.
20. Differential Problems of Higher Order.
21. Least-Squares Polynomial Approximation.
22. Min-Max Polynomial Approximation.
23. Approximation By Rational Functions.
24. Trigonometric Approximation.
25. Nonlinear Algebra.
26. Linear Systems.
27. Linear Programming.
28. Overdetermined Systems.
29. Boundary Value Problems.
30. Monte Carlo Methods.

Schaum's Numerical Analysis, 2nd ed.


Francis Scheid: "Schaum's Outline of Numerical Analysis"
MGr-Hl | English | Jan 1 1989 | ISBN: 0070552215 | 479 pages | PDF | 32 MB

Confusing Textbooks? Missed Lectures? Not Enough Time?Fortunately for you, there's Schaum's Outlines. More than 40 million students have trusted Schaum's to help them succeed in the classroom and on exams. Schaum's is the key to faster learning and higher grades in every subject. Each Outline presents all the essential course information in an easy-to-follow, topic-by-topic format. You also get hundreds of examples, solved problems, and practice exercises to test your skills.

Table of Contents:
1. What Is Numerical Analysis?
2. The Collocation Polynomial.
3. Finite Differences.
4. Factorial Polynomials.
5. Summation.
6. The Newton Formula.
7. Operators and Collocation Polynomials.
8. Unequally-Spaced Arguments.
9. Splines.
10. Osculating Polynomials.
11. The Taylor Polynomial.
12. Interpolation.
13. Numerical Differentiation.
14. Numerical Integration.
15. Gaussian Integration.
16. Singular Integrals.
17. Sums and Series.
18. Difference Equations.
19. Differential Equations.
20. Differential Problems of Higher Order.
21. Least-Squares Polynomial Approximation.
22. Min-Max Polynomial Approximation.
23. Approximation By Rational Functions.
24. Trigonometric Approximation.
25. Nonlinear Algebra.
26. Linear Systems.
27. Linear Programming.
28. Overdetermined Systems.
29. Boundary Value Problems.
30. Monte Carlo Methods.

Numerical Analysis Using MATLAB and Excel (Repost)


Numerical Analysis Using MATLAB and Excel By Steven T. Karris
Publisher: Orchard Publications 2007 | 627 Pages | ISBN: 1934404047 | PDF | 3 MB



This text is written primarily for students/readers who have a good background of high school algebra, geometry, trigonometry, and the fundamentals of differential and integral calculus. This text includes the following chapters and appendices: . Introduction to MATLAB . Root Approximations . Sinusoids and Complex Numbers . Matrices and Determinants . Review of Differential Equations . Fourier, Taylor, and Maclaurin Series . Finite Differences and Interpolation . Linear and Parabolic Regression . Solution of Differential Equations by Numerical Methods . Integration by Numerical Methods . Difference Equations . Partial Fraction Expansion . The Gamma and Beta Functions . Orthogonal Functions and Matrix Factorizations . Bessel, Legendre, and Chebyshev Polynomials . Optimization Methods . Difference Equations in Discrete Time Systems . Introduction to Simulink . Ill Conditioned Matrices Each chapter contains numerous practical applications supplemented with detailed instructions for using MATLAB and/or Excel to obtain quick solutions.


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Numerical Analysis Using MATLAB and Spreadsheets


Numerical Analysis Using MATLAB and Spreadsheets By Steven T. Karris
Publisher: Orchard Publications 2005 | 570 Pages | ISBN: 0974423912 | PDF | 4 MB



This text is written primarily for students/readers who have a good background of high school algebra, geometry, trigonometry, and the fundamentals of differential and integral calculus. This text includes the following chapters and appendices: . Introduction to MATLAB . Root Approximations . Sinusoids and Complex Numbers . Matrices and Determinants . Review of Differential Equations . Fourier, Taylor, and Maclaurin Series . Finite Differences and Interpolation . Linear and Parabolic Regression . Solution of Differential Equations by Numerical Methods . Integration by Numerical Methods . Difference Equations . Partial Fraction Expansion . The Gamma and Beta Functions . Orthogonal Functions and Matrix Factorizations . Bessel, Legendre, and Chebyshev Polynomials . Optimization Methods . Difference Equations in Discrete Time Systems . Introduction to Simulink . Ill Conditioned Matrices Each chapter contains numerous practical applications supplemented with detailed instructions for using MATLAB and/or Excel to obtain quick solutions.


NO PASSWORD

Computational Methods for the Atmosphere and the Oceans, Volume 14: Special Volume (Handbook of Numerical Analysis)

Computational Methods for the Atmosphere  and the Oceans, Volume 14: Special Volume (Handbook of Numerical  Analysis)

Philippe G. Ciarlet, "Computational Methods for the Atmosphere and the Oceans, Volume 14: Special Volume (Handbook of Numerical Analysis)"
Elsevier Science (December 29, 2008) | English | 0444518932 | 784 pages | PDF | 18.85 MB

This book provides a survey of the frontiers of research in the numerical modeling and mathematical analysis used in the study of the atmosphere and oceans. The details of the current practices in global atmospheric and ocean models, the assimilation of observational data into such models and the numerical techniques used in theoretical analysis of the atmosphere and ocean are among the topics covered.
Truly interdisciplinary: scientific interactions between specialties of atmospheric and ocean sciences and applied and computational mathematics . Uses the approach of computational mathematicians, applied and numerical analysts and the tools appropriate for unsolved problems in the atmospheric and oceanic sciences. Contributions uniquely address central problems and provide a survey of the frontier of research

Wednesday, March 24, 2010

An Introduction to Computer Simulation: M. M. Woolfson, G. J. Pert

1
019850425X

An Introduction to Computer Simulation: M. M. Woolfson, G. J. Pert
Oxford University Press, USA | ISBN: 019850425X | 1999-04-08 | PDF (OCR) | 328 pages | 13.9 Mb


Computer simulation is increasingly used in physics and engineering to predict the probable outcome of experiments and to aid in their interpretation. This text for undergraduates illustrates the basic techniques with numerous simple programs and problems drawn from a wide range of disciplines.


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Foundations of Genetic Algorithms: 8th International Workshop, FOGA 2005, Japan 2005

0
3540272372

Foundations of Genetic Algorithms: 8th International Workshop, FOGA 2005, Aizu-Wakamatsu City, Japan, January 5-9, 2005, Revised Selected Papers (Lecture ... Computer Science and General Issues): Alden H. Wright, Michael D. Vose, Kenneth A. De Jong, Lothar M. Schmitt
Springer | ISBN: 3540272372 | 2005-08-22 | PDF (OCR) | 315 pages | 3.1 Mb


This book constitutes the refereed proceedings of the 8th workshop on the foundations of genetic algorithms, FOGA 2005, held in Aizu-Wakamatsu City, Japan, in January 2005. The 16 revised full papers presented provide an outstanding source of reference for the field of theoretical evolutionary computation including evolution strategies, evolutionary programming, and genetic programming, as well as the continuing growth in interactions with other fields such as mathematics, physics, and biology.

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Dynamical Systems, Graphs, and Algorithms (Lecture Notes in Mathematics): George Osipenko


3540355936

Dynamical Systems, Graphs, and Algorithms (Lecture Notes in Mathematics): George Osipenko
Springer | ISBN: 3540355936 | 2006-11-16 | PDF (OCR) | 288 pages | 19.7 Mb


The modern theory and practice of dynamical systems requires the study of structures that fall outside the scope of traditional subjects of mathematical analysis. An important tool to investigate such complicated phenomena as chaos and strange attractors is the method of symbolic dynamics. This book describes a family of the algorithms to study global structure of systems.By a finite covering of the phase space we construct a directed graph (symbolic image) with vertices corresponding to cells of the covering and edges corresponding to admissible transitions.The method is used to localize the periodic orbits and the chain recurrent set, to construct the attractors and their basins, to estimate the entropy, Lyapunov exponents and the Morse spectrum, to verify the hyperbolicity and the structural stability.Considerable information can be obtained thus, and more techniques may be discovered in future research.

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Design and Modeling for Computer Experiments (Computer Science and Data Analysis): Kai-Tai Fang, Runze Li, Agus Sudjianto


1584885467

Design and Modeling for Computer Experiments (Computer Science and Data Analysis): Kai-Tai Fang, Runze Li, Agus Sudjianto
Chapman & Hall/CRC | ISBN: 1584885467 | 2005-10-14 | PDF (OCR) | 304 pages | 9.1 Mb


Computer simulations based on mathematical models have become ubiquitous across the engineering disciplines and throughout the physical sciences. Successful use of a simulation model, however, requires careful interrogation of the model through systematic computer experiments. While specific theoretical/mathematical examinations of computer experiment design are available, those interested in applying proposed methodologies need a practical presentation and straightforward guidance on analyzing and interpreting experiment results. Written by authors with strong academic reputations and real-world practical experience, Design and Modeling for Computer Experiments is exactly the kind of treatment you need. The authors blend a sound, modern statistical approach with extensive engineering applications and clearly delineate the steps required to successfully model a problem and provide an analysis that will help find the solution. Part I introduces the design and modeling of computer experiments and the basic concepts used throughout the book. Part II focuses on the design of computer experiments. The authors present the most popular space-filling designs - like Latin hypercube sampling and its modifications and uniform design - including their definitions, properties, construction and related generating algorithms. Part III discusses the modeling of data from computer experiments. Here the authors present various modeling techniques and discuss model interpretation, including sensitivity analysis. An appendix reviews the statistics and mathematics concepts needed, and numerous examples clarify the techniques and their implementation. The complexity of real physical systems means that there is usually no simple analytic formula that sufficiently describes the phenomena. Useful both as a textbook and professional reference, this book presents the techniques you need to design and model computer experiments for practical problem solving.


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Computational Intelligence in Reliability Engineering (Studies in Computational Intelligence): Gregory Levitin

0
3540373713

Computational Intelligence in Reliability Engineering (Studies in Computational Intelligence): Gregory Levitin
Springer | ISBN: 3540373713 | 2006-11-16 | PDF (OCR) | 427 pages | 80.2 Mb


This volume contains chapters presenting applications of different metaheuristics (ant colony optimization, great deluge algorithm, cross-entropy method and particle swarm optimization) in reliability engineering. It also includes chapters devoted to cellular automata and support vector machines and different applications of artificial neural networks, a powerful adaptive technique that can be used for learning, prediction and optimization. Several chapters describe different aspects of imprecise reliability and applications of fuzzy and vague set theory.

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