Construction Of Integration Formulas For Initial Value Problems

Construction Of Integration Formulas For Initial Value Problems

Author: P.J. Van Der Houwen

Publisher: Elsevier

Published: 2012-12-02

Total Pages: 282

ISBN-13: 0444601899

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Construction of Integration Formulas for Initial Value Problems provides practice-oriented insights into the numerical integration of initial value problems for ordinary differential equations. It describes a number of integration techniques, including single-step methods such as Taylor methods, Runge-Kutta methods, and generalized Runge-Kutta methods. It also looks at multistep methods and stability polynomials. Comprised of four chapters, this volume begins with an overview of definitions of important concepts and theorems that are relevant to the construction of numerical integration methods for initial value problems. It then turns to a discussion of how to convert two-point and initial boundary value problems for partial differential equations into initial value problems for ordinary differential equations. The reader is also introduced to stiff differential equations, partial differential equations, matrix theory and functional analysis, and non-linear equations. The order of approximation of the single-step methods to the differential equation is considered, along with the convergence of a consistent single-step method. There is an explanation on how to construct integration formulas with adaptive stability functions and how to derive the most important stability polynomials. Finally, the book examines the consistency, convergence, and stability conditions for multistep methods. This book is a valuable resource for anyone who is acquainted with introductory calculus, linear algebra, and functional analysis.


Numerical Methods and Applications (1994)

Numerical Methods and Applications (1994)

Author: Guri I Marchuk

Publisher: CRC Press

Published: 2017-11-22

Total Pages: 282

ISBN-13: 1351359703

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This book presents new original numerical methods that have been developed to the stage of concrete algorithms and successfully applied to practical problems in mathematical physics. The book discusses new methods for solving stiff systems of ordinary differential equations, stiff elliptic problems encountered in problems of composite material mechanics, Navier-Stokes systems, and nonstationary problems with discontinuous data. These methods allow natural paralleling of algorithms and will find many applications in vector and parallel computers.


Solving Ordinary Differential Equations II

Solving Ordinary Differential Equations II

Author: Ernst Hairer

Publisher: Springer Science & Business Media

Published: 1993

Total Pages: 662

ISBN-13: 9783540604525

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The subject of this book is the solution of stiff differential equations and of differential-algebraic systems. This second edition contains new material including new numerical tests, recent progress in numerical differential-algebraic equations, and improved FORTRAN codes. From the reviews: "A superb book...Throughout, illuminating graphics, sketches and quotes from papers of researchers in the field add an element of easy informality and motivate the text." --MATHEMATICS TODAY


Rosenbrock—Wanner–Type Methods

Rosenbrock—Wanner–Type Methods

Author: Tim Jax

Publisher: Springer Nature

Published: 2021-07-24

Total Pages: 125

ISBN-13: 3030768104

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This book discusses the development of the Rosenbrock—Wanner methods from the origins of the idea to current research with the stable and efficient numerical solution and differential-algebraic systems of equations, still in focus. The reader gets a comprehensive insight into the classical methods as well as into the development and properties of novel W-methods, two-step and exponential Rosenbrock methods. In addition, descriptive applications from the fields of water and hydrogen network simulation and visual computing are presented.


Numerical Computation of Internal and External Flows: The Fundamentals of Computational Fluid Dynamics

Numerical Computation of Internal and External Flows: The Fundamentals of Computational Fluid Dynamics

Author: Charles Hirsch

Publisher: Elsevier

Published: 2007-07-18

Total Pages: 696

ISBN-13: 0080550029

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The second edition of this book is a self-contained introduction to computational fluid dynamics (CFD). It covers the fundamentals of the subject and is ideal as a text or a comprehensive reference to CFD theory and practice. - New approach takes readers seamlessly from first principles to more advanced and applied topics. - Presents the essential components of a simulation system at a level suitable for those coming into contact with CFD for the first time, and is ideal for those who need a comprehensive refresher on the fundamentals of CFD. - Enhanced pedagogy features chapter objectives, hands-on practice examples and end of chapter exercises. - Extended coverage of finite difference, finite volume and finite element methods. - New chapters include an introduction to grid properties and the use of grids in practice. - Includes material on 2-D inviscid, potential and Euler flows, 2-D viscous flows and Navier-Stokes flows to enable the reader to develop basic CFD simulations. - Includes best practice guidelines for applying existing commercial or shareware CFD tools.


Analysis of Approximation Methods for Differential and Integral Equations

Analysis of Approximation Methods for Differential and Integral Equations

Author: Hans-Jürgen Reinhardt

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 412

ISBN-13: 1461210801

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This book is primarily based on the research done by the Numerical Analysis Group at the Goethe-Universitat in Frankfurt/Main, and on material presented in several graduate courses by the author between 1977 and 1981. It is hoped that the text will be useful for graduate students and for scientists interested in studying a fundamental theoretical analysis of numerical methods along with its application to the most diverse classes of differential and integral equations. The text treats numerous methods for approximating solutions of three classes of problems: (elliptic) boundary-value problems, (hyperbolic and parabolic) initial value problems in partial differential equations, and integral equations of the second kind. The aim is to develop a unifying convergence theory, and thereby prove the convergence of, as well as provide error estimates for, the approximations generated by specific numerical methods. The schemes for numerically solving boundary-value problems are additionally divided into the two categories of finite difference methods and of projection methods for approximating their variational formulations.


An Introduction to Numerical Analysis

An Introduction to Numerical Analysis

Author: Kendall Atkinson

Publisher: John Wiley & Sons

Published: 1991-01-16

Total Pages: 726

ISBN-13: 0471624896

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This Second Edition of a standard numerical analysis text retains organization of the original edition, but all sections have been revised, some extensively, and bibliographies have been updated. New topics covered include optimization, trigonometric interpolation and the fast Fourier transform, numerical differentiation, the method of lines, boundary value problems, the conjugate gradient method, and the least squares solutions of systems of linear equations. Contains many problems, some with solutions.


Revival: Numerical Solution Of Convection-Diffusion Problems (1996)

Revival: Numerical Solution Of Convection-Diffusion Problems (1996)

Author: K.W. Morton

Publisher: CRC Press

Published: 2019-02-25

Total Pages: 385

ISBN-13: 1351359673

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Accurate modeling of the interaction between convective and diffusive processes is one of the most common challenges in the numerical approximation of partial differential equations. This is partly due to the fact that numerical algorithms, and the techniques used for their analysis, tend to be very different in the two limiting cases of elliptic and hyperbolic equations. Many different ideas and approaches have been proposed in widely differing contexts to resolve the difficulties of exponential fitting, compact differencing, number upwinding, artificial viscosity, streamline diffusion, Petrov-Galerkin and evolution Galerkin being some examples from the main fields of finite difference and finite element methods. The main aim of this volume is to draw together all these ideas and see how they overlap and differ. The reader is provided with a useful and wide ranging source of algorithmic concepts and techniques of analysis. The material presented has been drawn both from theoretically oriented literature on finite differences, finite volume and finite element methods and also from accounts of practical, large-scale computing, particularly in the field of computational fluid dynamics.