Numerical Methods for Differential Equations

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A01=J.R. Dormand
Absolute Stability
Adams Moulton Formula
Author_J.R. Dormand
Category=UB
coefficients
eq_bestseller
eq_computing
eq_isMigrated=1
eq_isMigrated=2
eq_nobargain
eq_non-fiction
error
Error Coefficients
estimates
Finite Difference Methods
formula
Fourth Order Formula
global
Global Error
Global Error Estimation
Higher Order Formulae
Implicit RK
John R. Dormand
kutta
Lane Emden Equation
local
Local Error Estimate
Local Error Tolerances
Local Extrapolation
Local Truncation Error
Multistep Methods
order
Order Formula
Ordinary Differential Equations
Polynomial Interpolant
RK Method
RK Pair
runge
Runge Kutta Formula
Runge Kutta Method
Scalar Test Equation
Single Step Methods
Stability Polynomial
truncation

Product details

  • ISBN 9781315896007
  • Weight: 870g
  • Dimensions: 156 x 234mm
  • Publication Date: 13 Dec 2017
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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With emphasis on modern techniques, Numerical Methods for Differential Equations: A Computational Approach covers the development and application of methods for the numerical solution of ordinary differential equations. Some of the methods are extended to cover partial differential equations. All techniques covered in the text are on a program disk included with the book, and are written in Fortran 90. These programs are ideal for students, researchers, and practitioners because they allow for straightforward application of the numerical methods described in the text. The code is easily modified to solve new systems of equations. Numerical Methods for Differential Equations: A Computational Approach also contains a reliable and inexpensive global error code for those interested in global error estimation. This is a valuable text for students, who will find the derivations of the numerical methods extremely helpful and the programs themselves easy to use. It is also an excellent reference and source of software for researchers and practitioners who need computer solutions to differential equations.

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