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Interpolation, approximation and differential equations solvers (стр. 4 из 4)


Interpolation, approximation and differential equations solvers

Interpolation, approximation and differential equations solvers

As step

Interpolation, approximation and differential equations solvers is positive value of the function
Interpolation, approximation and differential equations solvers must be less then
Interpolation, approximation and differential equations solvers. There are two ways to define the best value of step
Interpolation, approximation and differential equations solvers, the firs one is to define maximum value of function
Interpolation, approximation and differential equations solvers on the integration area, another way is to use different
Interpolation, approximation and differential equations solvers for each value
Interpolation, approximation and differential equations solvers, where
Interpolation, approximation and differential equations solvers. So integration step is strongly depends on value of
Interpolation, approximation and differential equations solvers.

References

1. J. C. Butcher, Numerical methods for ordinary differential equations, ISBN 0471967580

2. George E. Forsythe, Michael A. Malcolm, and Cleve B. Moler. Computer Methods for Mathematical Computations. Englewood Cliffs, NJ: Prentice-Hall, 1977. (See Chapter 6.)

3. Ernst Hairer, Syvert Paul Nørsett, and Gerhard Wanner. Solving ordinary differential equations I: Nonstiff problems, second edition. Berlin: Springer Verlag, 1993. ISBN 3-540-56670-8.

4. William H. Press, Brian P. Flannery, Saul A. Teukolsky, William T. Vetterling. Numerical Recipes in C. Cambridge, UK: Cambridge University Press, 1988. (See Sections 16.1 and 16.2.)

5. Kendall E. Atkinson. An Introduction to Numerical Analysis. John Wiley & Sons - 1989

6. F. Cellier, E. Kofman. Continuous System Simulation. Springer Verlag, 2006. ISBN 0-387-26102-8.

7. Gaussian Quadrature Rule of Integration - Notes, PPT, Matlab, Mathematica, Maple, Mathcad at Holistic Numerical Methods Institute

8. Burden, Richard L.; J. Douglas Faires (2000). Numerical Analysis (7th Ed. ed.). Brooks/Cole. ISBN 0-534-38216-9.