Abstract
The solution of a differential equation can be obtained by mathematical operations which involve integration. In order to obtain a solution using a digital computer the analytic processes of integration must be replaced by a numerical method which can yield an approximation to the true solution. A continuous variable x which is a function of the independent variable t (i.e. time) is represented within a digital simulation by a series of numbers, or samples, x 0, x 1, x 2,…, x n . These samples define the variable x in terms both of magnitude and sign at the times t 0, t 1, t 2,…, t n . For many purposes it may be assumed that these samples are equally spaced in time and it is clear that if the sampling rate is high the information loss owing to sampling can be small. However, the step size, h, does affect the size of the error in the numerical approximation and the choice of h must depend upon the dynamic characteristics of the system under consideration.
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References
Dorn W.S. and McCracken D.D. (1972) Numerical Methods with Fortran IV Case Studies, John Wiley, New York
Ralston A. (1965) A First Course in Numerical Analysis, McGraw-Hill, New York
Hornbeck R.W. (1975) Numerical Methods, Quantum Publishers, New York
Gear C.W. (1971) Numerical Initial Value Problems in Ordinary Differential Equations, Prentice-Hall, Englewood Cliffs, NJ
Crosbie R.E. and Hay J.L. (1971) Variable step-length integration routines. Simulation, 17 (5), 206–212 (including discussion)
Karnopp D. (1981) Using bond graphs in nonlinear simulation problems. Simulation, 36 (6), 183–192
Gear C.W. (1984) Efficient step size control for output and discontinuities. Transactions of the Society for Computer Simulation, 1, 27–31
Carver M.B. (1978) Efficient integration over discontinuities in ordinary differential equation simulations. Mathematics and Computers in Simulation, XX, 190–196
Birta L.G., Oren T.I. and Kettenis D.L. (1985) A robust procedure for discontinuity handling in continuous system simulation. Transactions of the Society for Computer Simulation, 2 (3), 189–205
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© 1995 D.J. Murray-Smith
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Murray-Smith, D.J. (1995). The Principles of Numerical Modeling. In: Continuous System Simulation. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-2504-2_4
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DOI: https://doi.org/10.1007/978-1-4615-2504-2_4
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