Search Results: numerical-methods-in-matrix-computations-texts-in-applied-mathematics

Numerical Methods in Matrix Computations

Author: Åke Björck

Publisher: Springer

ISBN: 3319050893

Category: Mathematics

Page: 800

View: 7187

Matrix algorithms are at the core of scientific computing and are indispensable tools in most applications in engineering. This book offers a comprehensive and up-to-date treatment of modern methods in matrix computation. It uses a unified approach to direct and iterative methods for linear systems, least squares and eigenvalue problems. A thorough analysis of the stability, accuracy, and complexity of the treated methods is given. Numerical Methods in Matrix Computations is suitable for use in courses on scientific computing and applied technical areas at advanced undergraduate and graduate level. A large bibliography is provided, which includes both historical and review papers as well as recent research papers. This makes the book useful also as a reference and guide to further study and research work.

Iterative Lösung großer schwachbesetzter Gleichungssysteme

Author: N.A

Publisher: Springer-Verlag

ISBN: 3663056333

Category: Technology & Engineering

Page: 404

View: 1922

Numerical Analysis in Modern Scientific Computing

An Introduction

Author: Andreas Hohmann,Peter Deuflhard

Publisher: Springer Science & Business Media

ISBN: 0387215840

Category: Mathematics

Page: 340

View: 3534

This book introduces the main topics of modern numerical analysis: sequence of linear equations, error analysis, least squares, nonlinear systems, symmetric eigenvalue problems, three-term recursions, interpolation and approximation, large systems and numerical integrations. The presentation draws on geometrical intuition wherever appropriate and is supported by a large number of illustrations, exercises, and examples.

Numerical Methods in Scientific Computing:

Volume 1

Author: Germund Dahlquist,Ake Bjorck

Publisher: SIAM

ISBN: 0898716446

Category: Mathematics

Page: 717

View: 7128

This work addresses the increasingly important role of numerical methods in science and engineering. It combines traditional and well-developed topics with other material such as interval arithmetic, elementary functions, operator series, convergence acceleration, and continued fractions.

Applied Linear Algebra and Matrix Analysis

Author: Thomas S. Shores

Publisher: Springer

ISBN: 3319747487

Category: Mathematics

Page: 479

View: 7824

This new book offers a fresh approach to matrix and linear algebra by providing a balanced blend of applications, theory, and computation, while highlighting their interdependence. Intended for a one-semester course, Applied Linear Algebra and Matrix Analysis places special emphasis on linear algebra as an experimental science, with numerous examples, computer exercises, and projects. While the flavor is heavily computational and experimental, the text is independent of specific hardware or software platforms. Throughout the book, significant motivating examples are woven into the text, and each section ends with a set of exercises.

Introduction to Numerical Analysis

Author: Josef Stoer,R. Bulirsch

Publisher: Springer Science & Business Media

ISBN: 1475722729

Category: Mathematics

Page: 660

View: 2418

On the occasion of this new edition, the text was enlarged by several new sections. Two sections on B-splines and their computation were added to the chapter on spline functions: Due to their special properties, their flexibility, and the availability of well-tested programs for their computation, B-splines play an important role in many applications. Also, the authors followed suggestions by many readers to supplement the chapter on elimination methods with a section dealing with the solution of large sparse systems of linear equations. Even though such systems are usually solved by iterative methods, the realm of elimination methods has been widely extended due to powerful techniques for handling sparse matrices. We will explain some of these techniques in connection with the Cholesky algorithm for solving positive definite linear systems. The chapter on eigenvalue problems was enlarged by a section on the Lanczos algorithm; the sections on the LR and QR algorithm were rewritten and now contain a description of implicit shift techniques. In order to some extent take into account the progress in the area of ordinary differential equations, a new section on implicit differential equa tions and differential-algebraic systems was added, and the section on stiff differential equations was updated by describing further methods to solve such equations.

Computational Matrix Analysis

Author: Alan J. Laub

Publisher: SIAM

ISBN: 1611972205

Category: Mathematics

Page: 170

View: 4027

This text provides an introduction to numerical linear algebra together with its application to solving problems arising in state-space control and systems theory. The book provides a number of elements designed to help the reader learn to use numerical linear algebra in day-to-day computing or research, including a brief review of matrix analysis and an introduction to finite (IEEE) arithmetic, alongside discussion of mathematical software topics. In addition to the fundamental concepts, the text covers statistical condition estimation and gives an overview of certain computational problems in control and systems theory. Engineers and scientists will find this text valuable as a theoretical resource to complement their work in algorithms. For graduate students beginning their study, or advanced undergraduates, this text is ideal as a one-semester course in numerical linear algebra and is a natural follow-on to the author's previous book, Matrix Analysis for Scientists and Engineers.

Numerical Linear Algebra

Author: Grégoire Allaire,Sidi Mahmoud Kaber

Publisher: Springer Science & Business Media

ISBN: 9780387689180

Category: Mathematics

Page: 271

View: 5725

This book distinguishes itself from the many other textbooks on the topic of linear algebra by including mathematical and computational chapters along with examples and exercises with Matlab. In recent years, the use of computers in many areas of engineering and science has made it essential for students to get training in numerical methods and computer programming. Here, the authors use both Matlab and SciLab software as well as covering core standard material. It is intended for libraries; scientists and researchers; pharmaceutical industry.

Applied Matrix Algebra

Author: Lawrence Harvill

Publisher: Xlibris Corporation

ISBN: 9781462883561

Category: Mathematics

Page: 567

View: 8194

Applied Matrix Algebra aims to develop an understanding of the Fundamentals of matrix algebra as well as the differential and integral calculus of matrices that are fundamental for the analysis of a wide range of applied problems. When used in conjunction with a matrix computational program, you will be in a position to readily analyze sophisticated and complex applied problems. Completion of the text should also prepare you for moving on to much more theoretical and advanced topics in linear algebra. You will understand not only the mathematical complexities of the subject, but also gain a greater insight into the intricate details of the computational algorithms with this helpful book.

Numerical Analysis for Applied Science

Author: Myron B. Allen,Eli L. Isaacson

Publisher: John Wiley & Sons

ISBN: 1118030273

Category: Mathematics

Page: 492

View: 8025

Written for graduate students in applied mathematics, engineering and science courses, the purpose of this book is to present topics in "Numerical Analysis" and "Numerical Methods." It will combine the material of both these areas as well as special topics in modern applications. Included at the end of each chapter are a variety of theoretical and computational exercises.

Matrix Computations

Author: Gene H. Golub,Charles F. Van Loan

Publisher: JHU Press

ISBN: 1421408597

Category: Mathematics

Page: 784

View: 7395

The fourth edition of Gene H. Golub and Charles F. Van Loan's classic is an essential reference for computational scientists and engineers in addition to researchers in the numerical linear algebra community. Anyone whose work requires the solution to a matrix problem and an appreciation of its mathematical properties will find this text useful and engaging. This revision is a cover-to-cover expansion and renovation of the third edition. It now includes an introduction to tensor computations and brand new sections on • fast transforms• parallel LU• discrete Poisson solvers• pseudospectra• structured linear equation problems• structured eigenvalue problems• large-scale SVD methods• polynomial eigenvalue problems Matrix Computations is packed with challenging problems, insightful derivations, and pointers to the literature—everything needed to become a matrix-savvy developer of numerical methods and software.

A First Course in the Numerical Analysis of Differential Equations

Author: A. Iserles

Publisher: Cambridge University Press

ISBN: 0521734908

Category: Mathematics

Page: 459

View: 7715

lead the reader to a theoretical understanding of the subject without neglecting its practical aspects. The outcome is a textbook that is mathematically honest and rigorous and provides its target audience with a wide range of skills in both ordinary and partial differential equations." --Book Jacket.

The Theory of Matrices in Numerical Analysis

Author: Alston S. Householder

Publisher: Courier Corporation

ISBN: 0486145638

Category: Mathematics

Page: 272

View: 5494

This text presents selected aspects of matrix theory that are most useful in developing computational methods for solving linear equations and finding characteristic roots. Topics include norms, bounds and convergence; localization theorems; more. 1964 edition.

An Introduction to Scientific Computing

Twelve Computational Projects Solved with MATLAB

Author: Ionut Danaila,Pascal Joly,Sidi Mahmoud Kaber,Marie Postel

Publisher: Springer Science & Business Media

ISBN: 0387491597

Category: Mathematics

Page: 294

View: 2987

This book demonstrates scientific computing by presenting twelve computational projects in several disciplines including Fluid Mechanics, Thermal Science, Computer Aided Design, Signal Processing and more. Each follows typical steps of scientific computing, from physical and mathematical description, to numerical formulation and programming and critical discussion of results. The text teaches practical methods not usually available in basic textbooks: numerical checking of accuracy, choice of boundary conditions, effective solving of linear systems, comparison to exact solutions and more. The final section of each project contains the solutions to proposed exercises and guides the reader in using the MATLAB scripts available online.

Introduction to Scientific Computing and Data Analysis

Author: Mark H. Holmes

Publisher: Springer

ISBN: 3319302566

Category: Computers

Page: 497

View: 2261

This textbook provides and introduction to numerical computing and its applications in science and engineering. The topics covered include those usually found in an introductory course, as well as those that arise in data analysis. This includes optimization and regression based methods using a singular value decomposition. The emphasis is on problem solving, and there are numerous exercises throughout the text concerning applications in engineering and science. The essential role of the mathematical theory underlying the methods is also considered, both for understanding how the method works, as well as how the error in the computation depends on the method being used. The MATLAB codes used to produce most of the figures and data tables in the text are available on the author’s website and SpringerLink.

Numerical analysis

Author: John H. Curtiss

Publisher: American Mathematical Soc.

ISBN: 9780821813065

Category: Numerical calculations

Page: 303

View: 9634

A First Course in Numerical Analysis

Author: Anthony Ralston,Philip Rabinowitz

Publisher: Courier Corporation

ISBN: 9780486414546

Category: Mathematics

Page: 606

View: 4453

Outstanding text, oriented toward computer solutions, stresses errors in methods and computational efficiency. Problems — some strictly mathematical, others requiring a computer — appear at the end of each chapter.

Concurrent Scientific Computing

Author: Eric F. Van de Velde

Publisher: Springer Science & Business Media

ISBN: 9780387941950

Category: Mathematics

Page: 328

View: 7220

Mathematics is playing an ever more important role in the physical and biological sciences, provoking a blurring of boundaries between scientific dis ciplines and a resurgence of interest in the modern as well as the classical techniques of applied mathematics. This renewal of interest, both in research and teaching, has led to the establishment of the series: Texts in Applied Mathe matics (TAM). The development of new courses is a natural consequence of a high level of excitement on the research frontier as newer techniques, such as numerical and symbolic computer systems, dynamical systems, and chaos, mix with and reinforce the traditional methods of applied mathematics. Thus, the purpose of this textbook series is to meet the current and future needs of these advances and encourage the teaching of new courses. TAM will publish textbooks suitable for use in advanced undergraduate and beginning graduate courses, and will complement the Applied Mathematical Sciences (AMS) series, which will focus on advanced textbooks and research level monographs. Preface A successful concurrent numerical simulation requires physics and math ematics to develop and analyze the model, numerical analysis to develop solution methods, and computer science to develop a concurrent implemen tation. No single course can or should cover all these disciplines. Instead, this course on concurrent scientific computing focuses on a topic that is not covered or is insufficiently covered by other disciplines: the algorith mic structure of numerical methods.

Numerical Methods for Wave Equations in Geophysical Fluid Dynamics

Author: Dale R. Durran

Publisher: Springer Science & Business Media

ISBN: 9780387983769

Category: Mathematics

Page: 466

View: 4098

Covering a wide range of techniques, this book describes methods for the solution of partial differential equations which govern wave propagation and are used in modeling atmospheric and oceanic flows. The presentation establishes a concrete link between theory and practice.

Fundamentals of Scientific Computing

Author: Bertil Gustafsson

Publisher: Springer Science & Business Media

ISBN: 9783642194955

Category: Mathematics

Page: 326

View: 1545

The book of nature is written in the language of mathematics -- Galileo Galilei How is it possible to predict weather patterns for tomorrow, with access solely to today’s weather data? And how is it possible to predict the aerodynamic behavior of an aircraft that has yet to be built? The answer is computer simulations based on mathematical models – sets of equations – that describe the underlying physical properties. However, these equations are usually much too complicated to solve, either by the smartest mathematician or the largest supercomputer. This problem is overcome by constructing an approximation: a numerical model with a simpler structure can be translated into a program that tells the computer how to carry out the simulation. This book conveys the fundamentals of mathematical models, numerical methods and algorithms. Opening with a tutorial on mathematical models and analysis, it proceeds to introduce the most important classes of numerical methods, with finite element, finite difference and spectral methods as central tools. The concluding section describes applications in physics and engineering, including wave propagation, heat conduction and fluid dynamics. Also covered are the principles of computers and programming, including MATLAB®.

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