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A general purpose non-linear curve fitting program for the British Broadcasting Corporation Microcomputer.

R J Beynon1

  • 1Department of Biochemistry, University of Liverpool, UK.

Computer Applications in the Biosciences : CABIOS
|January 1, 1985
PubMed
Summary
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This study presents user-friendly software for non-linear curve fitting on the BBC Microcomputer. It utilizes the Pattern-search algorithm for optimization problems in life sciences.

Area of Science:

  • Computer Science
  • Biophysics
  • Scientific Computing

Background:

  • Non-linear curve fitting is essential for analyzing experimental data in life sciences.
  • Existing optimization methods often require complex partial derivative calculations.
  • Limited computational resources in some settings necessitate efficient software solutions.

Purpose of the Study:

  • To develop accessible non-linear curve fitting software for the BBC Microcomputer.
  • To implement a robust optimization algorithm that avoids the need for partial derivatives.
  • To create a user-friendly interface for life science researchers with minimal system configurations.

Main Methods:

  • Development of software in BASIC for the British Broadcasting Corporation (BBC) Microcomputer.

Related Experiment Videos

  • Implementation of the Pattern-search direct search algorithm for function optimization.
  • Focus on optimizing the user interface and system resource utilization.

    • Main Results:

    • A functional non-linear curve fitting program executable on the BBC Microcomputer.
    • Successful application of the Pattern-search algorithm, bypassing the need for derivative calculations.
    • Software designed for ease of use and efficient operation on minimal hardware.

    Conclusions:

    • The developed software provides a viable tool for non-linear curve fitting in life sciences on accessible hardware.
    • The Pattern-search algorithm offers a robust alternative for optimization when derivatives are unavailable or difficult to compute.
    • Emphasis on user interface design enhances the applicability of the software for researchers.