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Abstract

In this chapter, we describe two numerical finite difference methods which are used for solving differential equations, e.g., the Euler method and Euler-Cromer method. The emphasis here is on algorithm errors, and an explanation of what is meant by the “order” of the error. We show that the Euler method introduces an error of order 2, denoted as \( \mathscr {O}(2),\) while the latter presents errors of order \(\mathscr {O}(3)\). We finish the chapter by applying the methods to two important physical problems: the physics of the pendulum and the physics of descending parachutes.

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References

  1. W.J. Olver, D.W. Lozier, R.F. Boisvert, C.W. Clark, NIST Handbook of Mathematical Functions, National Institute of Standards and Technology, U.S. Department of Commerce (Cambridge University Press, Cambridge, 2010)

    Google Scholar 

  2. L.N. Trefethen, Finite Difference and Spectral Methods for Ordinary and Partial Differential Equations, Cornell University, Department of Computer Science (Center for Applied Mathematics, Ithaca, 1996)

    Google Scholar 

  3. R.J. LeVeque, Finite Difference Methods for Ordinary and Partial Differential Equations, Steady State and Time Dependent Problems (SIAM, Philadelphia, 2007)

    Book  Google Scholar 

  4. R. Feynman, R. Leighton, M. Sands, The Feynman Lectures on Physics, vol. III (Addison Wesley Publishing Co, Reading, 1965)

    MATH  Google Scholar 

  5. E. Schrödinger, Ann. Phys. 384, 489–527 (1926)

    Article  ADS  Google Scholar 

  6. S. Koonin, D. Meredith, Computational Physics (Fortran version) (Westview Press, Boulder, 1990)

    Google Scholar 

  7. A. Garcia, Numerical Methods for Physics (Prentice Hall Inc, Upper Saddle River, 2000)

    Google Scholar 

  8. A. Gilat, V. Subramaniam, Numerical Methods for Engineers and Scientists, 2nd edn. (Wiley, New York, 2011)

    Google Scholar 

  9. B.D. Shizgal, Spectral Methods in Chemistry and Physics. Applications to Kinetic Theory and Quantum Mechanics (Springer, Dordrecht, 2015)

    MATH  Google Scholar 

  10. K.R. Symon, Mechanics (Addison Wesley Publishing Company, Reading, 1960)

    MATH  Google Scholar 

  11. G.B. Arfken, H.J. Weber, Mathematical Methods for Physicists, 4th edn. (Academic, San Diego, 1966)

    MATH  Google Scholar 

  12. M. Abramowitz, I. Stegun (eds.), Handbook of Mathematical Functions (Dover, New York, 1972)

    Google Scholar 

  13. D.A. McQuarrie, Mathematical Methods for Scientists and Engineers (University Science Books, Sausalito, 2003), p. 628

    Google Scholar 

  14. L. Verlet, Phys. Rev. 159, 98 (1967)

    Article  ADS  Google Scholar 

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Correspondence to Victo dos Santos Filho .

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Rawitscher, G., dos Santos Filho, V., Peixoto, T.C. (2018). Finite Difference Methods. In: An Introductory Guide to Computational Methods for the Solution of Physics Problems. Springer, Cham. https://doi.org/10.1007/978-3-319-42703-4_2

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