Skip to main content

Nonlinear Methods

  • Chapter
Scientific Data Analysis
  • 259 Accesses

Abstract

Sometimes our problem involves nonlinear equations. If, for example, we wish to determine the half-life of a radioactive nuclide. In the p-norm the equations assume the form

$$ {{\left\| {{{A}_{o}}{{e}^{{ - \lambda {{t}_{i}}}}} - {{A}_{i}}} \right\|}_{p}} = \min , $$
(7.1)

where A o is the original quantity of nuclide at time t o = 0, Ai is the quantity at time t i and λ is the half-life to be determined. Physical chemistry offers the Michaelis-Menten equation: X i is the concentration of an enzyme with a reaction rate t i and we wish to determine constants a and b such that

$${\left\| {\frac{{a{X_i}}}{{b + {X_i}}} - {y_i}} \right\|_p} = \min .\,$$
(7.2)

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 16.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Abdelmalek, N.N. (1971). Linear L 1 Approximation for a Discrete Point Set and L1 Solutions of Overdetermined Linear Equations, J. ACM, 18, p. 41.

    Article  MathSciNet  MATH  Google Scholar 

  • Acton, F.S. (1970). Numerical Methods that (Usually) Work ( Harper and Row, New York).

    Google Scholar 

  • Brent, R.P. (1973). Algorithms for Minimization without Derivatives (Prentice-Hall, Englewood Cliffs, N.J.).

    MATH  Google Scholar 

  • Caceci, MS. and Cacheris, WP. (1984). Fitting Curves to Data, BYTE, 9, No. 6, p. 340.

    Google Scholar 

  • Forsythe, G., Malcolm, M.A., and Moler, C.B. (1977). Computer Methods for Mathematical Computations (Prentice-Hall, Englewood Cliffs, N.J.).

    MATH  Google Scholar 

  • Hald, J. and Madsen, K. (1985). Combined LP and Quasi-Newton Methods for Nonlinear L 1 Optimization, SIAM J. Numer. Anal, 22, p. 68.

    Article  MathSciNet  MATH  Google Scholar 

  • Intriligator, M.D. (1981). Mathematical Programming with Applications to Economics. In Arrow, K.J. and Intriligator, M.D. (eds.) Handbook of Mathematical Economics, Vol. I ( North-Holland, Amsterdam ).

    Google Scholar 

  • Kennedy, W.J., and Gentle, J.E. (1980). Statistical Computing ( Marcel Dekker, New York).

    MATH  Google Scholar 

  • Levenberg, K. (1944). A Method for the Solution of Certain Non-Linear Problems in Least Squares, Quart. Appl Math., 2, p. 164.

    MathSciNet  MATH  Google Scholar 

  • Marquardt, D.W. (1963). An Algorithm for Least-Squares Estimation of Nonlinear Parameters, J. SIAM, 11, p. 431.

    MathSciNet  MATH  Google Scholar 

  • Nelder, J.A. and Mead, R. (1965). A Simplex Method for Function Minimization, Computer J, 7, p. 308.

    MATH  Google Scholar 

  • Patterson, E.M. (1969). Topology ( Interscience, New York).

    Google Scholar 

  • Press, W.H., Flannery, B.P., Teukolsky, S.A., and Vetterling, W.T. (1986). Numerical Recipes: The Art of Scientific Computing ( Cambridge University Press, Cambridge).

    Google Scholar 

  • Rosenbrock, H.H. (1960). An Automatic Method for Finding the Greatest or Least Value of a Function, Computer J, 3, p. 175.

    Article  MathSciNet  Google Scholar 

  • Scheid, F. (1968). Theory and Problems of Numerical Analysis ( McGraw-Hill, New York).

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1990 Springer-Verlag New York Inc.

About this chapter

Cite this chapter

Branham, R.L. (1990). Nonlinear Methods. In: Scientific Data Analysis. Springer, New York, NY. https://doi.org/10.1007/978-1-4612-3362-6_7

Download citation

  • DOI: https://doi.org/10.1007/978-1-4612-3362-6_7

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4612-7981-5

  • Online ISBN: 978-1-4612-3362-6

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics