Numerical initial value problems in ordinary differential equations
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Numerical initial value problems in ordinary differential equations

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Published by Prentice-Hall in Englewood Cliffs, N.J .
Written in English

Subjects:

  • Differential equations -- Data processing.,
  • Numerical integration -- Data processing.

Book details:

Edition Notes

Bibliography: p. 237-250.

Statement[by] C. William Gear.
SeriesPrentice-Hall series in automatic computation
Classifications
LC ClassificationsQA372 .G4
The Physical Object
Paginationxvii, 253 p.
Number of Pages253
ID Numbers
Open LibraryOL5221584M
ISBN 100136266061
LC Control Number75152448

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Numerical Methods for Ordinary Differential Equations is a self-contained introduction to a fundamental field of numerical analysis and scientific computation. Written for undergraduate students with a mathematical background, this book focuses on the analysis of numerical methods without losing sight of the practical nature of the subject. adshelp[at] The ADS is operated by the Smithsonian Astrophysical Observatory under NASA Cooperative Agreement NNX16AC86ACited by: Numerical Initial Value Problems in Ordinary Differential Equations (Automatic Computation) 1st Edition by C. William Gear (Author) › Visit Amazon's C. William Gear Page. Find all the books, read about the author, and more. See search results for this author. Are you an author? Cited by: Numerical methods for ordinary differential equations. Initial value problems. Numerical Methods for Ordinary Differential Equations is a self-contained introduction to a .

Numerical Methods for Ordinary Differential Equations: Initial Value Problems (Springer Undergraduate Mathematics Series) - Kindle edition by Griffiths, David F., Higham, Desmond J., Higham, Desmond J.. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Numerical Methods for 5/5(1). methods for solving boundary value problems of second-order ordinary differential equations. The final chapter, Chapter12, gives an introduct ionto the numerical solu-tion of Volterra integral equations of the second kind, extending ideas introduced in earlier chapters for solving initial value problems. Appendices A and B contain briefFile Size: 1MB. NUMERICAL SOLUTIONS OF INITIAL VALUE PROBLEMS FOR ORDINARY DIFFERENTIAL EQUATIONS T. E. Hull Department of Computer Science University of Toronto ABSTRACT This paper is intended to be a survey of the current situation regarding programs for solving initial value problems associated with ordinary differential by: The following four chapters introduce and analyze the more commonly used finite difference methods for solving a variety of problems, including ordinary and partial differential equations and initial value and boundary value problems.

  Purchase Numerical Methods for Initial Value Problems in Ordinary Differential Equations - 1st Edition. Print Book & E-Book. ISBN , Book Edition: 1.   Numerical Methods for Ordinary Differential Equations: Initial Value Problems - Ebook written by David F. Griffiths, Desmond J. Higham. Read this book using Google Play Books app on your PC, android, iOS devices. Download for offline reading, highlight, bookmark or take notes while you read Numerical Methods for Ordinary Differential Equations: Initial Value 5/5(1). for the numerical solution of two-point boundary value problems. Syllabus. Approximation of initial value problems for ordinary differential equations: one-step methods including the explicit and implicit Euler methods, the trapezium rule method, and Runge–Kutta methods. Linear multi-step methods: consistency, zero-File Size: KB. The problem. A first-order differential equation is an Initial value problem (IVP) of the form, ′ = (, ()), =, where f is a function that maps [t 0,∞) × R d to R d, and the initial condition y 0 ∈ R d is a given vector. First-order means that only the first derivative of y appears in the equation, and higher derivatives are absent.. Without loss of generality to higher-order systems, we.